ORIGINAL_ARTICLE
Thermal Analysis Circular Couette Flow of Non-Newtonian Fluid with Viscous Dissipation
The forced convection heat transfer in the circular couette flow of Non-Newtonian fluid is investigated when the inner cylinder is rotated at angular speed and the outer cylinder is fixed. The fluid viscosity is considered concurrently to be dependent on the temperature and shear rate. The temperature dependency of viscosity is modeled exponentially according to the Nahme law and dependence of viscosity on shear is modeled with the Carreau equation. The Viscous dissipation term is adding intricacy to the already highly interdependent set of governing motion and energy equations. The highly nonlinear governing equations are derived for the steady state base flow in the narrow gap limit. The perturbation method has been applied to obtain an approximate solution for these equations. The effect of governing parameter such as Brinkman numbers and Deborah number on the thermal stability is examined. In addition, the analysis illustrated that the Nusselt number of the outer cylinder increases as the Deborah number increases. It, although, decreases by increasing Brinkman number. The pseudoplastic fluid between concentric cylinders is heated as Brinkman number and increases due to frictional loss and it is cooled as Deborah number increases due to the fluid elasticity behavior.
https://ajme.aut.ac.ir/article_2760_bc10910d72bf7ea482f69bbeb34e2eff.pdf
2018-06-01T11:23:20
2020-09-30T11:23:20
3
12
10.22060/mej.2017.12675.5394
Circular couette flow
forced convection
Friction loss
Deborah number
Perturbation method
A.
Kosarineia
abbas.kosarineia@iauahvaz.ac.ir
true
1
Department of Mechanical Engineering, Ahvaz Branch, Islamic Azad University, Ahvaz, Iran
Department of Mechanical Engineering, Ahvaz Branch, Islamic Azad University, Ahvaz, Iran
Department of Mechanical Engineering, Ahvaz Branch, Islamic Azad University, Ahvaz, Iran
LEAD_AUTHOR
[1] C.D. Andereck, S.S. Liu, Swinney, H.L. Flow regimes in a circular Couette system within dependently rotating cylinders. Journal of Fluid Mechanics, 164 (1986) 155-183.
1
[2] N. Ashrafi, A. Hazbavi, Flow pattern and stability of pseudoplastic axial Taylor–Couette flow, International Journal of Non-Linear Mechanics, 47 (2012), 905-917.
2
[3] J. R. A. Pearson, Mechanics of Polymer Processing, Elsevier, London, (1985).
3
[4] N. Phan-Thien, R.I. Tanner, New constitutive equation derived from network theory, Journal Non-Newtonian Fluid Mech, 2 (1977) 353–365.
4
[5] N. Phan-Thien, A non-linear network viscoelastic model, Journal Rheol, 22 (1978) 259–283.
5
[6] P.J. Oliveira, F.T. Pinho, Analytical solution for fully developed channel and pipe flow of Phan-Thien–Tanner fluids, Journal Non-Newtonian Fluid Mech, 387 (1999) 271–280.
6
[7] F. T. Pinho, P. J. Oliveira, Axial annular flow of a nonlinear viscoelastic fluid an analytical solution, Journal Non-Newtonian Fluid Mech, 93 (2000) 325–337.
7
[8] M. A. Alves, P.J. Pinho, F.T. Oliveira, Study of steady pipe and channel flows of a single-mode Phan Thien–Tanner fluid, Journal Non-Newtonian Fluid Mech, 101 (2001) 55–76.
8
[9] D.O.A. Cruz, F.T. Pinho, Skewed Poiseuille-Couette flows of PTT fluids in concentric annuli and channels, Journal Non-Newtonian Fluid Mech, 121 (2004) 1–14.
9
[10] M. Mirzazadeh, M.P. Escudier, F. Rashidi, S.H. Hashemabadi, Analytical solution of purely tangential flow for PTT viscoelastic fluid through concentric annulus, Journal Non-Newtonian Fluid Mech, 129 (2005) 88–97.
10
[11] R.B. Bird, P.J. Dotson, N.L. Johnson, Polymer solution rheology based on a finitely extensible bead-spring chain model, Journal Non-Newtonian Fluid Mech, 7 (1980) 213–235.
11
[12] .J. Oliveira, An exact solution for tube and slit flow of a FENE-P fluid, Act a Mech, 158 (2002) 157–167.
12
[13] D.O.A. Cruz, F.T. Pinho, P.J. Oliveira, Analytical solutions for fully developed laminar flow of some viscoelastic liquids with a Newtonian solvent contribution, Journal Non-Newtonian Fluid Mech, 132 (2005) 28–35.
13
[14] Tasnim, S. H., Mahmud S. and Mamun, M. A. H., Entropy generation in a porous channel with hydromagnetic effect, Exergy, an Int. Journal, 2 (2002) 300-308.
14
[15] Mahmud, S. and Fraser R. A., The second law analysis in fundamental convective heat transfer problems, Int. J. of Therm. Sci., 42 (2003) 177–186.
15
[16] Carrington, C. G. and Sun, Z. F., Second law analysis of combined heat and mass transfer in internal flow and external flows. Int. J. Heat and Fluid Flow, 132 (1992) 65–70.
16
[17] Arpaci, V.S. and Selamet A., Entropy production in boundary layers, J. Thermo phys. Heat Transfer, 4 (1990) 404–407.
17
[18] Abu-Hijleh, B. A. K., entropy generation in laminar convection from an isothermal cylinder in cross flow, energy, 23 (1998) 851-857.
18
[19] Khalkhali, H. Faghri, A. and Zuo, Z. J., Entropy generation in a heat pipe system, Applied Thermal Eng., 19 (1999) 1027-1043.
19
[20] N. Ashrafi, A. Hazbavi, Heat transfer in flow of nonlinear fluids with viscous dissipation, Archive of Applied Mechanics, 83 (2013) 1739-1754.
20
[21] A. Hazbavi, Second Law Analysis of Magnetorheological Rotational Flow with Viscous Dissipation, Journal of Thermal Science and Engineering Applications, 8 (2016) 021020.
21
[22] K. Khellaf, G. Lauriat, Numerical study of heat transfer in a non-Newtonian Carreau-fluid between rotating concentric vertical cylinders, Journal Non-Newtonian Fluid Mech, 89 (2000) 45–61
22
[23] R.M. Manglik, P. Fang, Thermal processing of viscous non-Newtonian fluids in annular ducts: effects of power-law rheology, duct eccentricity, and thermal boundary conditions, Int. J. Heat Mass Transfer, 45 (2002) 803–814.
23
[24] R.B. Bird, R.C. Armstrong, Dynamics of Polymeric Liquids, Wiley, New York, (1987).
24
[25] R. Keunings, M. J. Crochet, Numerical simulation of the flow of a viscoelastic fluid through an abrupt contraction, J. Non-Newtonian Fluid Mech, 14 (1984) 279–299.
25
ORIGINAL_ARTICLE
Simulation of Natural Convection in Eccentric Annulus: A Combined Lattice Boltzmann and Smoothed Profile Approach
In the present study, a hybrid method of thermal lattice Boltzmann and smoothed profile methods have been applied to simulate free convection in an eccentric annulus with a constant temperature wall. Smoothed profile method employs an Eulerian approach to consider the fluid-solid interaction without using an extra mesh for capturing solid boundary. As a result of this property, the combination of this method and Lattive Boltzmann method can be considered as an efficient method to simulate free convection in complex geometries like annulus. In order to investigate the effect of inner cylinder position on the natural convection, the inner cylinder was placed in different horizontal, vertical and diagonal positions. Influences of the Rayleigh number (103 ≤ Ra ≤ 105), eccentricity (-0.75 ≤ e ≤ 0.75)) and the radial ratio (Ro /Ri=2, 2.6 and 3.2) on the streamlines, isotherms and Nusselt number were studied. It was found that the Nusselt number has a positive relationship with Rayleigh number and radial ratio. Also, it can be confirmed that Nusselt number in the case with the negative eccentricity (e=−0.75) was larger than the others. It was found that a very good agreement exists between the present results and those from the open literature.
https://ajme.aut.ac.ir/article_2740_3e336b2340d4e3915b6eda13ae89939a.pdf
2018-06-01T11:23:20
2020-09-30T11:23:20
13
26
10.22060/mej.2017.13013.5500
Lattice Boltzmann method
Natural convection
Smoothed profile method
Annulus
S.
jafari
s89.jafari@gmail.com
true
1
Mechanical Engineering Department, ShahidBahonar university of Kerman, Kerman, Iran
Mechanical Engineering Department, ShahidBahonar university of Kerman, Kerman, Iran
Mechanical Engineering Department, ShahidBahonar university of Kerman, Kerman, Iran
AUTHOR
S.
afari
jafari@uk.ac.ir
true
2
Petroleum Engineering Department, ShahidBahonar university of Kerman, Kerman, Iran
Petroleum Engineering Department, ShahidBahonar university of Kerman, Kerman, Iran
Petroleum Engineering Department, ShahidBahonar university of Kerman, Kerman, Iran
LEAD_AUTHOR
M.
Rahnama
mrah1338@gmail.com
true
3
Mechanical Engineering Department, ShahidBahonar university of Kerman, Kerman, Iran
Mechanical Engineering Department, ShahidBahonar university of Kerman, Kerman, Iran
Mechanical Engineering Department, ShahidBahonar university of Kerman, Kerman, Iran
AUTHOR
[1] H. Dawood, H. Mohammed, N.A.C. Sidik, K. Munisamy, M. Wahid, Forced, natural and mixed-convection heat transfer and fluid flow in annulus: A review, International Communications in Heat and Mass Transfer, 62 (2015) 45-57.
1
[2] T. Kuehn, R. Goldstein, An experimental and theoretical study of natural convection in the annulus between horizontal concentric cylinders, Journal of Fluid mechanics, 74(4) (1976) 695-719.
2
[3] T.H. Kuehn, R. Goldstein, An experimental study of natural convection heat transfer in concentric and eccentric horizontal cylindrical annuli, Journal of Heat Transfer, 100(4) (1978) 635-640.
3
[4] T.H. Kuehn, R.J. Goldstein, A parametric study of Prandtl number and diameter ratio effects on natural convection heat transfer in horizontal cylindrical annuli, Journal of Heat Transfer, 102(4) (1980) 768-770.
4
[5] G. Guj, F. Stella, Natural convection in horizontal eccentric annuli: numerical study, Numerical Heat Transfer, Part A: Applications, 27(1) (1995) 89-105.
5
[6] F. Shahraki, Modeling of buoyancy-driven flow and heat transfer for air in a horizontal annulus: effects of vertical eccentricity and temperature-dependent properties, Numerical Heat Transfer: Part A: Applications, 42(6) (2002) 603-621.
6
[7] S. Succi, S. Succi, The lattice Boltzmann equation: for fluid dynamics and beyond, Oxford university press, 2001.
7
[8] Z. Guo, C. Shu, Lattice Boltzmann method and its applications in engineering, World Scientific, 2013.
8
[9] C.K. Aidun, J.R. Clausen, Lattice-Boltzmann method for complex flows, Annual review of fluid mechanics, 42 (2010) 439-472.
9
[10] X. He, S. Chen, G.D. Doolen, A novel thermal model for the lattice Boltzmann method in incompressible limit, Journal of Computational Physics, 146(1) (1998) 282-300.
10
[11] X. Shan, Simulation of Rayleigh-Bénard convection using a lattice Boltzmann method, Physical Review E, 55(3) (1997) 2780.
11
[12] Y. Wei, H.-S. Dou, Z. Wang, Y. Qian, W. Yan, Simulations of natural convection heat transfer in an enclosure at different Rayleigh number using lattice Boltzmann method, Computers & Fluids, 124 (2016) 30-38.
12
[13] Y. Peng, Y. Chew, C. Shu, Numerical simulation of natural convection in a concentric annulus between a square outer cylinder and a circular inner cylinder using the Taylor-series-expansion and least-squares-based lattice Boltzmann method, Physical Review E, 67(2) (2003) 026701.
13
[14] S. Dash, T. Lee, H. Huang, Natural convection from an eccentric square cylinder using a novel flexible forcing IB-LBM method, Numerical Heat Transfer, Part A: Applications, 65(6) (2014) 531-555.
14
[15] T. Seta, Implicit temperature-correction-based immersed-boundary thermal lattice Boltzmann method for the simulation of natural convection, Physical Review E, 87(6) (2013) 063304.
15
[16] Y. Shi, T. Zhao, Z. Guo, Finite difference-based lattice Boltzmann simulation of natural convection heat transfer in a horizontal concentric annulus, Computers & Fluids, 35(1) (2006) 1-15.
16
[17] E. Sourtiji, D. Ganji, S. Seyyedi, Free convection heat transfer and fluid flow of Cu–water nanofluids inside a triangular–cylindrical annulus, Powder Technology, 277 (2015) 1-10.
17
[18] M. Afrand, Using a magnetic field to reduce natural convection in a vertical cylindrical annulus, International Journal of Thermal Sciences, 118 (2017) 12-23.
18
[19] Z. Guo, C. Zheng, B. Shi, An extrapolation method for boundary conditions in lattice Boltzmann method, Physics of Fluids, 14(6) (2002) 2007-2010.
19
[20] E. Fattahi, M. Farhadi, K. Sedighi, Lattice Boltzmann simulation of natural convection heat transfer in eccentric annulus, International journal of thermal sciences, 49(12) (2010) 2353-2362.
20
[21] C.S. Peskin, Flow patterns around heart valves: a numerical method, Journal of computational physics, 10(2) (1972) 252-271.
21
[22] X. Niu, C. Shu, Y. Chew, Y. Peng, A momentum exchange-based immersed boundary-lattice Boltzmann method for simulating incompressible viscous flows, Physics Letters A, 354(3) (2006) 173-182.
22
[23] Z.-G. Feng, E.E. Michaelides, Proteus: a direct forcing method in the simulations of particulate flows, Journal of Computational Physics, 202(1) (2005) 20-51.
23
[24] H. Jeong, H. Yoon, M. Ha, M. Tsutahara, An immersed boundary-thermal lattice Boltzmann method using an equilibrium internal energy density approach for the simulation of flows with heat transfer, Journal of Computational Physics, 229(7) (2010) 2526-2543.
24
[25] S. Jafari, R. Yamamoto, M. Rahnama, Lattice-Boltzmann method combined with smoothed-profile method for particulate suspensions, Physical Review E, 83(2) (2011) 026702.
25
[26] Y. Nakayama, R. Yamamoto, Simulation method to resolve hydrodynamic interactions in colloidal dispersions, Physical Review E, 71(3) (2005) 036707.
26
[27] Y. Hu, D. Li, S. Shu, X. Niu, An efficient smoothed profile-lattice Boltzmann method for the simulation of forced and natural convection flows in complex geometries, International Communications in Heat and Mass Transfer, 68 (2015) 188-199.
27
[28] M.-I. Char, Y.-H. Hsu, Comparative analysis of linear and nonlinear low-Reynolds-number eddy viscosity models to turbulent natural convection in horizontal cylindrical annuli, Numerical Heat Transfer, Part A Applications, 33(2) (1998) 191-206.
28
ORIGINAL_ARTICLE
Influence of Burner Head Design on Its Thermal and Environmental Characteristics
In this paper, for the first time, four thermal and environmental objective functions are simultaneously taken into account in the process of the optimal design of a natural gas diffusion burner. The burner thermal efficiency and the emissions of carbon monoxide, nitrogen oxide, and unburned methane constitute the objective functions of the present study. In the first step, the burner is numerically simulated, and the simulation results are verified through being compared with the available experimental data. Next, the simulation is carried out for the different set values of design variables (the dimensions of the air and fuel inlets, and the overall equivalence ratio) and the optimum design is chosen by using “Pareto front concept”. The paper will show that as a result of the mentioned procedure, the burner thermal efficiency is increased by 29.4%, and the emissions of carbon monoxide, nitrogen oxide, and unburned methane are decreased by 81.2%, 98.6%, and 83.9%, respectively. The manuscript explains the reasoning for the superiority of the modified design over the reference one in detail.
https://ajme.aut.ac.ir/article_2741_2819ea8eeb484a25553709779082692e.pdf
2018-06-01T11:23:20
2020-09-30T11:23:20
27
38
10.22060/mej.2017.13172.5561
Diffusion burner
Numerical modeling
Multi-objective design
Thermal efficiency
Pollutants
S. F.
Mousavi Kolousforoushi
fahim22m@gmail.com
true
1
Faculty of Mechanical Engineering, University of Guilan, Rasht, Iran
Faculty of Mechanical Engineering, University of Guilan, Rasht, Iran
Faculty of Mechanical Engineering, University of Guilan, Rasht, Iran
AUTHOR
J.
Mahmoudimehr
mahmoudimehr@guilan.ac.ir
true
2
Faculty of Mechanical Engineering, University of Guilan, Rasht, Iran
Faculty of Mechanical Engineering, University of Guilan, Rasht, Iran
Faculty of Mechanical Engineering, University of Guilan, Rasht, Iran
LEAD_AUTHOR
[1] International Energy Agency (IEA), Key World Energy Statistics, OECD, Paris, 2016.
1
[2] J. Mahmoudimehr, L. Loghmani, Optimal management of a solar power plant equipped with a thermal energy storage system by using Dynamic Programming method, Proceedings of the Institution of Mechanical Engineers, Part A: Journal of Power and Energy, 230 (2) (2016) 219-233.
2
[3] N. Papanikolaou, I. Wierzba, The effects of burner geometry and fuel composition on the stability of a jet diffusion flame, Journal of Energy Resources Technology, 119 (4) (1997) 265-270.
3
[4] A. Sobiesiak, J.C. Wenzell, Characteristics and structure of inverse flames of natural gas, Proceedings of the Combustion Institute, 30 (1) (2005) 743-749.
4
[5] L.K. Sze, C.S. Cheung, C.W. Leung, Appearance, temperature and NOx emission of two inverse diffusion flames with different port design, Combustion and Flame, 144 (1) (2006) 237–248.
5
[6] P. Hariharan, C. Periasamy, S.R. Gollahalli, Effect of elliptic burner geometry and air equivalence ratio on the nitric oxide emissions from turbulent hydrogen flames, International Journal of Hydrogen Energy, 32 (8) (2007) 1095–1102.
6
[7] U. Makmool, S. Jugjai, S. Tia, P. Vallikul, B. Fungtammasan, Performance and analysis by particle image velocimetry (PIV) of cooker-top burners in Thailand, Energy, 32 (10) (2007) 1986–1995.
7
[8] F. Liu, G.J. Smallwood, Control of the structure and sooting characteristics of a co-flow laminar methane/air diffusion flame using a central air jet: an experimental and numerical study, Proceedings of the Combustion Institute, 33 (1) (2011) 1063–1070.
8
[9] L.L. Dong, C.S. Cheung, C.W. Leung, Combustion optimization of a port-array inverse diffusion flame jet, Energy, 36 (5) (2011) 2834-2846.
9
[10] L.L. Dong, C.S. Cheung, C.W. Leung, Heat transfer optimization of an impinging port-array inverse diffusion flame jet, Energy, 49 (1) (2013) 182-192.
10
[11] L.L. Dong, C.S. Cheung, C.W. Leung, Characterization of impingement region from an impinging inverse diffusion flame jet, International Journal of Heat and Mass Transfer, 56 (1-2) (2013) 360–369.
11
[12] H.S. Zhen, Y.S. Choy, C.W. Leung, C.S. Cheung, Effects of nozzle length on flame and emission behaviors of multi-fuel-jet inverse diffusion flame burner, Applied Energy, 88 (9) (2011) 2917–2924.
12
[13] O.A. Kashkousha, M.M. Kamal, A.M. Abdulaziz, M.A. Nosier, Concentric elliptical jet diffusion flames with co- and cross-flows, Experimental Thermal and Fluid Science, 41 (2012) 177–187.
13
[14] S. Mahesh, D.P. Mishra, Effects of recessed air jet on turbulent compressed natural gas inverse diffusion flame shape and luminosity, Combustion, Explosion and Shock Waves, 48 (6) (2012) 683–688.
14
[15] S. Mahesh, D.P. Mishra, Flame stability limits and near blowout characteristics of CNG inverse jet flame, Fuel, 153 (2015) 267–275.
15
[16] S. Lamige, J. Min, C. Galizzi, F. André, F. Baillot, D. Escudié, K.M. Lyons, On preheating and dilution effects in non-premixed jet flame stabilization, Combustion and Flame, 160 (6) (2013) 1102–1111.
16
[17] H.S. Zhen, C.W. Leung, T.T. Wong, Improvement of domestic cooking flames by utilizing swirling flows, Fuel, 119 (1) (2014) 153–156.
17
[18] M. Saediamiri, M. Birouk, J.A. Kozinski, On the stability of a turbulent non-premixed biogas flame: Effect of low swirl strength, Combustion and Flame, 161 (5) (2014) 1326–1336.
18
[19] M. Akbarzadeh, M. Birouk, Liftoff of a Co-Flowing Non-Premixed Turbulent Methane Flame: Effect of the Fuel Nozzle Orifice Geometry, Flow, Turbulence and Combustion, 92 (4) (2014) 903–929.
19
[20] M. Saediamiri, M. Birouk, J.A. Kozinski, Enhancing the Stability Limits of Biogas Non-Premixed Flame, Combustion Science and Technology, 188 (11-12) (2016) 2077-2104.
20
[21] P. Kuntikana, S.V. Prabhu, Thermal investigations on methane-air premixed flame jets of multi-port burners, Energy, 123 (2017) 218-228.
21
[22] I. Bonefacic, I. Wolf, P. Blecich, Improvement of fuel oil spray combustion inside a 7 MW industrial furnace: A numerical study, Applied Thermal Engineering,110 (2017) 795–804.
22
[23] C.K. Law, Combustion Physics, Cambridge University Press, New York, 2006.
23
[24] N. Peters, Turbulent Combustion, Cambridge University Press, Cambridge, 2000.
24
[25] B.F. Magnussen, B.H. Hjertager, On mathematical modelling of turbulent combustion with special emphasis on soot formation and combustion, Proceedings of the 16th symposium (international) on combustion, (1976) 719–729.
25
[26] H.C. Hottel, A.F. Sarofim, Radiative Transfer, McGraw-Hill, New York, 1967.
26
[27] R. Siegel, J.R. Howell, Thermal Radiation Heat Transfer, Taylor and Francis, Washington, 1992.
27
[28] J. Warnatz, U. Mass, R.W. Dibble, Combustion, Springer, Berlin, 2006.
28
[29] S.V. Patankar, Numerical Heat Transfer and Fluid Flow, McGraw-Hill, New York, 1980.
29
[30] D. Garréton, O. Simonin, Aerodynamics of steady state combustion chambers and furnaces, ASCF. Ercoftac Cfd Workshop, Org: EDF Chatou, France, 1994.
30
[31] F. Hajabdollahi, Z. Hajabdollahi, H. Hajabdollahi, Soft computing based multi-objective optimization of steam cycle power plant using NSGA-II and ANN, Applied Soft Computing 12 (11) (2012) 3648-3655.
31
[32] K. Deb, Multi objective optimization using evolutionary algorithms, Wiley, New York, 2001.
32
[33] C.A. Coello, G.B. Lamont, D.A.Van Veldhuizen, Evolutionary algorithms for solving multi-objective problems, Springer, New York, 2002.
33
ORIGINAL_ARTICLE
Energy and Exergy Analysis and Optimization of a Heat Sink Collector Equipped with Rotational Obstacles
In this paper, the forced convection flow in a heat sink collector equipped with stationary and rotational obstacles is studied numerically. Three-dimensional governing equations are solved by control volume approach based on the SIMPLE algorithm and k.. turbulence model. Reynolds numbers are considered in the laminar-turbulent range of 50 < Re < 12,000. The optimization was carried out by variation of related parameters. It is concluded that using heat sink, instead of a customary instrument, increases the outlet temperature from the collector and exergy efficiency due to longer installing of the fluid inside the collector. Also, it is realized that using the stationary and rotational obstacles enhance the outlet fluid temperature (about 2.5°C), energy efficiency and exergy efficiency. Nevertheless, using the rotational obstacles is more effective than the stationary obstacles. While the trend of exergy efficiency variation with effective parameters is increasing, applying the obstacles precipitates the efficiency increment (from 4% to 5.3%). In addition, for the case that the trend of exergy efficiency variation by changing these parameters is decreasing, the decreasing trend gets slow. There is a unique mass flow rate (0.005 kg/s) that the exergy efficiency gets a maximum value and for the higher mass flow rates, the efficiency decreases slightly and then remains unchanged.
https://ajme.aut.ac.ir/article_2744_17bf4343deebd78d21cfc32e04b3f60a.pdf
2018-06-01T11:23:20
2020-09-30T11:23:20
39
50
10.22060/mej.2017.12960.5486
Heat sink collector
Rotational obstacles
Exergy optimization
forced convection
Radiation
A.A.
Abbasian Arani
abbasian@kashanu.ac.ir
true
1
Department of Mechanical Engineering, University of Kashan, Kashan, Iran
Department of Mechanical Engineering, University of Kashan, Kashan, Iran
Department of Mechanical Engineering, University of Kashan, Kashan, Iran
LEAD_AUTHOR
S.
Sadripour
soroushsadripour@hotmail.com
true
2
Department of Mechanical Engineering, University of Kashan, Kashan, Iran
Faculty of Mechanical Engineering, University of Shahreza, Shahreza, Iran
Department of Mechanical Engineering, University of Kashan, Kashan, Iran
Faculty of Mechanical Engineering, University of Shahreza, Shahreza, Iran
Department of Mechanical Engineering, University of Kashan, Kashan, Iran
Faculty of Mechanical Engineering, University of Shahreza, Shahreza, Iran
AUTHOR
S.
Kermani
saiedeh_kermani73@yahoo.com
true
3
Department of Mechanical Engineering, University of Kashan, Kashan, Iran
Department of Mechanical Engineering, University of Kashan, Kashan, Iran
Department of Mechanical Engineering, University of Kashan, Kashan, Iran
AUTHOR
[1] S. A. Kalogirou, Solar thermal collectors and applications. Progress in Energy and Combustion Science, 30(3) (2004) 31-95.
1
[2] M. Ansari, M. Bazargan, Optimization of Heat transfer and Pressure Drop in a Solar Air Heater with Ribbed Surface. Amirkabir Journal of Mechanical Engineering, 49(1) (2017) 137-146.
2
[3] Z. Poolaei Moziraji, A. Azimi, S. Kazemzadeh Hannani, M. Najafi, Simultaneous Estimation of Thermophysical Properties and Convective Boundary Conditions of a Sample Room in Tehran Using Inverse Analysis. Amirkabir Journal of Mechanical Engineering, 49(1) (2017) 147-160.
3
[4] H. Jahani, A. Abbassi, M. Kalteh, M. Azimifar, Semi-Analytic Solution of Nanofluid and Magnetic Field Effects on Heat Transfer from a Porous Wall. Amirkabir Journal of Mechanical Engineering, 49(1) (2017) 161-170.
4
[5] H. Khorasanizadeh, A. Aghaei, H. Ehteram, A. Azimi, Study and Exergy Optimization of a Flat Plate Solar Collector in a Closed Circuit Utilized with Reflectors and Lenses Using Experimental Results. Journal of Energy Engineering Management, 3(1) (2013) 40-51.
5
[6] M. A. Leon, S. Kumar, Mathematical modeling and thermal performance analysis of unglazed transpired solar collectors. Solar Energy, 81 (2007) 62-75.
6
[7] S. Motahar, A. A. Alemrajabi, An analysis of unglazed transpired solar collectors based on exergetic performance criteria. International Journal of Thermodynamics, 13(4) (2010) 153-160.
7
[8] C. F. Kutscher, C. B. Christensen, G. M. Barker, Unglazed transpired solar collectors: heat loss theory. Journal of Solar Energy Engineering, 115 (1993) 182-188.
8
[9] C. Yildiz, I. T. Torgrul, C. Sarsilmaz, D. Pehlivan, Thermal efficiency of an air solar collector with extended absorption surface and increased convection. International Communication in Heat and Mass Transfer, 29(6) (2002) 831-840.
9
[10] P. T. Tsilingiris, Heat transfer analysis of low thermal conductivity solar energy absorbers. Applied Thermal Engineering, 20 (2000) 1297-1314.
10
[11] N. M. Khattab, Evaluation of perforated plate solar air heater. International Journal of Solar Energy, 21 (2000) 45-62.
11
[12] D. Njomo, M. Daguenet, Sensitivity analysis of thermal performances of flat plate solar air heaters. Heat and Mass Transfer, 42 (2006) 1065-1081.
12
[13] A. Sarreshtedari, A. Zamani Aghaee, Investigation of the thermo-hydraulic behavior of the fluid flow over a square ribbed channel. Journal of Heat and Mass Transfer Research, 1(2) (2014) 101-106.
13
[14] Z. Baniamerian, R. Mehdipour, F. Kargar, A numerical investigation on aerodynamic coefficients of solar troughs considering terrain effects and vortex shedding. International Journal of Engineering (IJE), Transactions C: Aspects, 28(6) (2015) 940-948.
14
[15] B. M. Ziapour, F. Rahimi, Numerical study of natural convection heat transfer in a horizontal wavy absorber solar collector based on the second law analysis. International Journal of Engineering (IJE), Transactions A: Basics, 29(1) (2016) 109-117.
15
[16] K. Ajay, L. Kundan, Performance evaluation of nanofluid (Al2O3/H2O–C2H6O2) based parabolic solar collector using both experimental and CFD techniques. International Journal of Engineering (IJE), Transactions A: Basics, 29(4) (2016) 572-580.
16
[17] I. Luminosu, L. Fara, Determination of the optimal operation mode of a flat solar collector by exergetic analysis and numerical simulation. Energy, 30(12) (2005) 731-747.
17
[18] E. Shojaeizadeh, F. Veysi, Development of a correlation for parameter controlling using exergy efficiency optimization of an Al2O3/water nanofluid based flat-plate solar collector. Applied Thermal Engineering, 98 (2016) 1116-1129.
18
[19] Z. Said, R. Saidur, N. A. Rahim, Energy and exergy analysis of a flat plate solar collector using different sizes of aluminum oxide based nanofluid. Journal of Cleaner Production, 133 (2016) 518-530.
19
[20] S. M. Vanaki, H. A. Mohammed, A. Abdollahi, M. A. Wahid, Effect of nanoparticle shapes on the heat transfer enhancement in a wavy channel with different phase shifts. Journal of Molecular Liquids, 196 (2014) 32-42.
20
[21] D. D. Gray, A. Giorgini, The validity of the Boussinesq approximation for liquids and gases. International Journal of Heat and Mass Transfer, 19(5) (1976) 545-551.
21
[22] A. Bejan, Convection heat transfer. Wiley-Interscience (1984).
22
[23] ANSYS Fluent-Solver Theory Guide, Release 14.0 (2011) 351-353.
23
[24] J. A. Duffie, W. A. Beckman, Solar engineering of thermal processes. New York, John Wiley & Son (2006).
24
[25] Mechanical Agitator Power Requirements for Liquid, www.pdhonline.com/courses/k103/k103content.pdf
25
[26] A. Suzuki, General theory of exergy balance analysis and application to solar collectors. Energy, 13(2) (1988) 123-160.
26
[27] A. Bejan, D. W. Keary, F. Kreith, Second law analysis and synthesis of solar collector systems. Journal of Solar Energy Engineering, 103(1) (1981) 23-28.
27
[28] A. Bejan, 1Advanced Engineering Thermo-dynamics. New York, Wiley Inter science (1988).
28
[29] K. K. Dutta Gupta, S. Saha, Energy analysis of solar thermal collectors. Renewable energy and environment, 33(1) (1990) 283-287.
29
[30] A. Kahrobaian, H. Malekmohammadi, Exergy optimization applied to linear parabolic solar collectors. Journal of Faculty of Engineering, 42(1) (2008) 131-144.
30
[31] A. A. Abbasian Arani, S. Sadripour, S. Kermani, Nanoparticle shape effects on thermal-hydraulic performance of boehmite alumina nanofluids in a sinusoidal–wavy mini-channel with phase shift and variable wavelength. International Journal of Mechanical Sciences, 128–129 (2017) 550-563.
31
[32] S. Sadripour, M. Adibi, G. A. Sheikhzadeh, Two Different Viewpoints about using Aerosol-Carbon Nanofluid in Corrugated Solar Collectors: Thermal-Hydraulic Performance and Heating Performance, Global Journal of Researches in Engineering A: Mechanical and Mechanics, 17(5) (2017) 19-36.
32
[33] H. Khorasanizadeh, S. Sadripour, A. Aghaei, Numerical Investigation of Thermo-Hydraulic Characteristics of Corrugated Air-Heater Solar Collectors, Modares Mechanical Engineering, 16(13) (2016) 42-46.
33
ORIGINAL_ARTICLE
A Fluid-Structure Interaction Study on Vulnerability of Different Coronary Plaques to Blood Flow Increase During Physical Exercise
Pathological studies have shown that coronary atherosclerotic plaques are more prone to rupture under physical exercise. In this paper, using a fully coupled fluid-structure interaction (FSI) analysis based on arbitrary Lagrangian-Eulerian (ALE) finite element method, the effect of the coronary blood flow rate increase during physical exercise on the plaque rupture risk is investigated for different plaque types. It is proved that the increase in coronary blood flow rate during physical exercise considerably increases the maximum stress in the plaque fibrous cap which can potentially lead to the plaque rupture. The issue is investigated for different plaque shapes and their vulnerability to exercise condition is compared. It is observed that the diffused plaque type which experiences the maximum stress of 187.9 kPa at rest and 544 kPa at exercise is the most critical plaque type. Because it is subjected to the highest stress in both of these conditions. However, the descending plaque type exhibits the highest susceptibility to physical activity, since its maximum stress increases from 68.9 kPa at rest to 280.5 kPa at exercise which means an increase of about 308%.
https://ajme.aut.ac.ir/article_2739_d61e5a59a647cc9d8d13c9515fe24180.pdf
2018-06-01T11:23:20
2020-09-30T11:23:20
51
60
10.22060/mej.2017.13415.5625
Atherosclerosis plaque rupture
Physical exercise
Fluid–structure interaction analysis
finite element method
Plaque shape
H.
Afrasiab
afrasiab@nit.ac.ir
true
1
Mechanical Engineering Department, Babol Noshirvani University of Technology, Babol, Iran
Mechanical Engineering Department, Babol Noshirvani University of Technology, Babol, Iran
Mechanical Engineering Department, Babol Noshirvani University of Technology, Babol, Iran
LEAD_AUTHOR
[1] O.Y. Hung, A.J. Brown, S.G. Ahn, A. Veneziani, D.P. Giddens, H. Samady, Association of Wall Shear Stress with Coronary Plaque Progression and Transformation, Interventional Cardiology Clinics, 4 (2015) 491-502.
1
[2] D.R. Obaid, P.A. Calvert, A. Brown, D. Gopalan, N.E.J. West, J.H.F. Rudd, M.R. Bennett, Coronary CT angiography features of ruptured and high-risk atherosclerotic plaques: Correlation with intra-vascular ultrasound, Journal of Cardiovascular Computed Tomography, (2017) 42-51.
2
[3] T. Yonetsu, T. Lee, T. Murai, M. Suzuki, A. Matsumura, Y. Hashimoto, T. Kakuta, Plaque morphologies and the clinical prognosis of acute coronary syndrome caused by lesions with intact fibrous cap diagnosed by optical coherence tomography, International Journal of Cardiology, 203 (2016) 766-774.
3
[4] M. Cilla, E. Peña, M.A. Martínez, 3D computational parametric analysis of eccentric atheroma plaque: influence of axial and circumferential residual stresses, Biomechanics and Modeling in Mechanobiology, 11 (2012) 1001-1013.
4
[5] J.R. Doherty, D.M. Dumont, G.E. Trahey, M.L. Palmeri, Acoustic radiation force impulse imaging of vulnerable plaques: a finite element method parametric analysis, Journal of Biomechanics, 46 (2013) 83-90.
5
[6] M. Cilla, E. Peña, M.A. Martínez, D.J. Kelly, Comparison of the vulnerability risk for positive versus negative atheroma plaque morphology, Journal of Biomechanics, 46 (2013) 1248-1254.
6
[7] W.J.S. Dolla, J.A. House, S.P. Marso, Stratification of risk in thin cap fibroatheromas using peak plaque stress estimates from idealized finite element models, Medical Engineering & Physics, 34 (2012) 1330-1338.
7
[8] Z. Teng, U. Sadat, Z. Li, X. Huang, C. Zhu, V.E. Young, M.J. Graves, J.H. Gillard, Arterial luminal curvature and fibrous-cap thickness affect critical stress conditions within atherosclerotic plaque: an in vivo MRI-based 2D finite-element study, Annals of Biomedical Engineering, 38 (2010) 3096-3101.
8
[9] G. Finet, J. Ohayon, G. Rioufol, Biomechanical interaction between cap thickness, lipid core composition and blood pressure in vulnerable coronary plaque: impact on stability or instability, Coronary Artery Disease, 15 (2004) 13-20.
9
[10] M.X. Li, J.J. Beech-Brandt, L.R. John, P.R. Hoskins, W.J. Easson, Numerical analysis of pulsatile blood flow and vessel wall mechanics in different degrees of stenoses, Journal of Biomechanics, 40 (2007) 3715-3724.
10
[11] A. Valencia, F. Baeza, Numerical simulation of fluid–structure interaction in stenotic arteries considering two layer nonlinear anisotropic structural model, International Communications in Heat and Mass Transfer, 36 (2009) 137-142.
11
[12] J. Ohayon, G. Finet, A.M. Gharib, D.A. Herzka, P. Tracqui, J. Heroux, G. Rioufol, M.S. Kotys, A. Elagha, R.I. Pettigrew, Necrotic core thickness and positive arterial remodeling index: emergent biomechanical factors for evaluating the risk of plaque rupture, American Journal of Physiology. Heart and Circulatory Physiology, 295 (2008) H717-727.
12
[13] A.C. Akyildiz, L. Speelman, H. van Brummelen, M.A. Gutiérrez, R. Virmani, A. van der Lugt, A.F. van der Steen, J.J. Wentzel, F.J. Gijsen, Effects of intima stiffness and plaque morphology on peak cap stress, Biomedical Engineering Online, 10 (2011) 25-35.
13
[14] D. Tang, Z. Teng, G. Canton, T.S. Hatsukami, L. Dong, X. Huang, C. Yuan, Local critical stress correlates better than global maximum stress with plaque morphological features linked to atherosclerotic plaque vulnerability: an in vivo multi-patient study, BioMedical Engineering OnLine, 8 (2009) 15-28.
14
[15] T. Belzacq, S. Avril, E. Leriche, A. Delache, A numerical parametric study of the mechanical action of pulsatile blood flow onto axisymmetric stenosed arteries, Medical Engineering & Physics, 34 (2012) 1483-1495.
15
[16] A.M. Varnava, P.G. Mills, M.J. Davies, Relationship between coronary artery remodeling and plaque vulnerability, Circulation, 105 (2002) 939-943.
16
[17] Z. Teng, U. Sadat, G. Ji, C. Zhu, V.E. Young, M.J. Graves, J.H. Gillard, Lumen irregularity dominates the relationship between mechanical stress condition, fibrous-cap thickness, and lumen curvature in carotid atherosclerotic plaque, Journal of Biomechanical Engineering, 133 (2011) 34-43.
17
[18] M.J. Lipinski, J.C. Frias, Z.A. Fayad, Advances in detection and characterization of atherosclerosis using contrast agents targeting the macrophage, Journal of Nuclear Cardiology, 13 (2006) 699-709.
18
[19] Y. Fukumoto, T. Hiro, T. Fujii, G. Hashimoto, T. Fujimura, J. Yamada, T. Okamura, M. Matsuzaki, Localized elevation of shear stress is related to coronary plaque rupture: a 3-dimensional intravascular ultrasound study with in-vivo color mapping of shear stress distribution, Journal of the American College of Cardiology, 51 (2008) 645-650.
19
[20] E. Cecchi, C. Giglioli, S. Valente, C. Lazzeri, G.F. Gensini, R. Abbate, L. Mannini, Role of hemodynamic shear stress in cardiovascular disease, Atherosclerosis, 214 (2011) 249-256.
20
[21] J. Ohayon, O. Dubreuil, P. Tracqui, S. Le Floc’h, G. Rioufol, L. Chalabreysse, F. Thivolet, R.I. Pettigrew, G. Finet, Influence of residual stress/strain on the biomechanical stability of vulnerable coronary plaques: potential impact for evaluating the risk of plaque rupture, American Journal of Physiology. Heart and Circulatory Physiology, 293 (2007) 1987-1996.
21
[22] S.H. Fertels, D.R. Heller, A. Maniet, A. Zalewski, Acute myocardial infarction due to exercise-induced plaque rupture, Clinical Cardiology, 21 (1998) 767-768.
22
[23] R.V. Kalaga, A. Malik, P.D. Thompson, Exercise-related spontaneous coronary artery dissection: case report and literature review, Medicine and Science in Sports and Exercise, 39 (2007) 1218-1220.
23
[24] A.P. Burke, A. Farb, G.T. Malcom, Y. Liang, J.E. Smialek, R. Virmani, Plaque rupture and sudden death related to exertion in men with coronary artery disease, JAMA, 281 (1999) 921-926.
24
[25] D.J. Duncker, R.J. Bache, Regulation of coronary blood flow during exercise, Physiological Reviews, 88 (2008) 1009-1086.
25
[26] M.H. Laughlin, R.J. Korthuis, D.J. Duncker, R.J. Bache, Control of Blood Flow to Cardiac and Skeletal Muscle During Exercise, in: Comprehensive Physiology, John Wiley & Sons, Inc., 2010.
26
[27] J.D. Rossen, M.D. Winniford, Effect of increases in heart rate and arterial pressure on coronary flow reserve in humans, Journal of the American College of Cardiology, 21 (1993) 343-348.
27
[28] S. Bernhard, S. Möhlenkamp, A. Tilgner, Transient integral boundary layer method to calculate the translesional pressure drop and the fractional flow reserve in myocardial bridges, Biomedical Engineering Online, 5 (2006) 42-60.
28
[29] H. Afrasiab, M.R. Movahhedy, A. Assempour, Fluid–structure interaction analysis in microfluidic devices: A dimensionless finite element approach, International Journal for Numerical Methods in Fluids, 68 (2012) 1073-1086.
29
[30] H. Afrasiab, M.R. Movahhedy, Treatment of the small time instability in the finite element analysis of fluid structure interaction problems, International Journal for Numerical Methods in Fluids, 71 (2013) 756-771.
30
[31] R. Beaumont, K. Bhaganagar, B. Segee, O. Badak, Using fuzzy logic for morphological classification of IVUS-based plaques in diseased coronary artery in the context of flow-dynamics, Soft Computing, 14 (2010) 265-276.
31
[32] J.C. Wang, S.-L.T. Normand, L. Mauri, R.E. Kuntz, Coronary artery spatial distribution of acute myocardial infarction occlusions, Circulation, 110 (2004) 278-284.
32
[33] R. Virmani, A.P. Burke, F.D. Kolodgie, A. Farb, Vulnerable plaque: the pathology of unstable coronary lesions, Journal of Interventional Cardiology, 15 (2002) 439-446.
33
[34] B.C. Konala, A. Das, R.K. Banerjee, Influence of arterial wall-stenosis compliance on the coronary diagnostic parameters, Journal of Biomechanics, 44 (2011) 842-847.
34
[35] S.R.H. Barrett, M.P.F. Sutcliffe, S. Howarth, Z.Y. Li, J.H. Gillard, Experimental measurement of the mechanical properties of carotid atherothrombotic plaque fibrous cap, Journal of Biomechanics, 42 (2009) 1650-1655.
35
[36] S.A. Kock, J.V. Nygaard, N. Eldrup, E.-T. Fründ, A. Klærke, W.P. Paaske, E. Falk, W. Yong Kim, Mechanical stresses in carotid plaques using MRI-based fluid–structure interaction models, Journal of Biomechanics, 41 (2008) 1651-1658.
36
[37] H.G. Matthies, J. Steindorf, Partitioned strong coupling algorithms for fluid–structure interaction, Computers & Structures, 81 (2003) 805-812.
37
[38] A. Karimi, M. Navidbakhsh, A. Shojaei, S. Faghihi, Measurement of the uniaxial mechanical properties of healthy and atherosclerotic human coronary arteries, Materials Science & Engineering. C, Materials for Biological Applications, 33 (2013) 2550-2554.
38
[39] K. Stein, T. Tezduyar, R. Benney, Mesh Moving Techniques for Fluid-Structure Interactions With Large Displacements, Journal of Applied Mechanics, 70 (2003) 58-63.
39
[40] R.K. Stoelting, S.C. Hillier, Pharmacology and Physiology in Anesthetic Practice, Lippincott Williams & Wilkins, 2012.
40
[41] Y. Bazilevs, V.M. Calo, Y. Zhang, T.J.R. Hughes, Isogeometric Fluid–structure Interaction Analysis with Applications to Arterial Blood Flow, Computational Mechanics, 38 (2006) 310-322.
41
[42] C.J. Greenshields, H.G. Weller, A unified formulation for continuum mechanics applied to fluid–structure interaction in flexible tubes, International Journal for Numerical Methods in Engineering, 64 (2005) 1575-1593
42
ORIGINAL_ARTICLE
Robustness of Controlled Lagrangian Method to the Structured Uncertainties
Controlled Lagrangian method uses the inherent geometric structure of the energy of the mechanical systems to provide a stabilizing algorithm for underactuated mechanical systems. The presented method belongs to a larger family of nonlinear control algorithms, namely energy shaping methods in which the controller is designed by providing necessary modifications in the mechanical energy of the system. This paper presents a sensitivity analysis of Controlled Lagrangian method. It is shown that the method presents a suitable performance under the effect of structured (or parametric) uncertainties such as masses values, their positions and their influence on the inertia tensor. Then, the sequel investigates the robustness level of the designed controller in the presence of structured uncertainties. A detailed robustness proof of the scheme is established in this paper. Simulations are provided for a linear inverted pendulum cart system to validate analytical results of robustness to parametric uncertainties. Simulation results confirm that the designed controller for the inverted pendulum, which is unstable and underactuated, is well robust against parametric uncertainties as the analytical studies predicted. The method was also compared with the sliding mode approach, which showed a superior robustness against parametric uncertainties and a more practical control input value.
https://ajme.aut.ac.ir/article_2753_86fbfb9c1e4968b5f982619fc684d807.pdf
2018-06-01T11:23:20
2020-09-30T11:23:20
61
72
10.22060/mej.2017.12758.5431
Controlled Lagrangian
Sensitivity analysis
Robustness
Structured uncertainties
Underactuated systems
M.
Hemmasian Ettefagh
hemmasian@aut.ac.ir
true
1
Department of Mechanical Engineering, Amirkabir University of Technology (Tehran polytechnics), Tehran, Iran
Department of Mechanical Engineering, Amirkabir University of Technology (Tehran polytechnics), Tehran, Iran
Department of Mechanical Engineering, Amirkabir University of Technology (Tehran polytechnics), Tehran, Iran
LEAD_AUTHOR
M.
Naraghi
naraghi@aut.ac.ir
true
2
Department of Mechanical Engineering, Amirkabir University of Technology (Tehran polytechnics), Tehran, Iran
Department of Mechanical Engineering, Amirkabir University of Technology (Tehran polytechnics), Tehran, Iran
Department of Mechanical Engineering, Amirkabir University of Technology (Tehran polytechnics), Tehran, Iran
AUTHOR
M.
Mahzoon
mahzoon@shirazu.ac.ir
true
3
School of Mechanical Engineering, Shiraz University, Shiraz, Iran
School of Mechanical Engineering, Shiraz University, Shiraz, Iran
School of Mechanical Engineering, Shiraz University, Shiraz, Iran
AUTHOR
[1] A.M. Bloch, N.E. Leonard, J.E. Marsden, Stabilization of mechanical systems using controlled Lagrangians, in: Decision and Control, 1997., Proceedings of the 36th IEEE Conference on, IEEE, 1997, pp. 2356-2361.
1
[2] A.M. Bloch, N.E. Leonard, J.E. Marsden, Matching and stabilization by the method of controlled Lagrangians, in: Decision and Control, 1998. Proceedings of the 37th IEEE Conference on, IEEE, 1998, pp. 1446-1451.
2
[3] A.M. Bloch, N.E. Leonard, J.E. Marsden, Controlled Lagrangians and the stabilization of mechanical systems. I. The first matching theorem, IEEE Transactions on automatic control, 45(12) (2000) 2253-2270
3
[4] A.M. Bloch, D.E. Chang, N.E. Leonard, J.E. Marsden, Controlled Lagrangians and the stabilization of mechanical systems. II. Potential shaping, IEEE Transactions on Automatic Control, 46(10) (2001) 1556-1571
4
[5] D. Auckly, L. Kapitanski, W. White, Control of nonlinear underactuated systems, Communications on Pure and Applied Mathematics: A Journal Issued by the Courant Institute of Mathematical Sciences, 53(3) (2000) 354-369.
5
[6] D. Auckly, L. Kapitanski, On the .-equations for matching control laws, SIAM Journal on control and optimization, 41(5) (2002) 1372-1388.
6
[7] F. Andreev, D. Auckly, S. Gosavi, L. Kapitanski, A. Kelkar, W. White, Matching, linear systems, and the ball and beam, Automatica, 38(12) (2002) 2147-2152.
7
[8] D.E. Chang, A.M. Bloch, N.E. Leonard, J.E. Marsden, C.A. Woolsey, The equivalence of controlled Lagrangian and controlled Hamiltonian systems, ESAIM: Control, Optimisation and Calculus of Variations, 8 (2002) 393-422.
8
[9] C. Woolsey, C.K. Reddy, A.M. Bloch, D.E. Chang, N.E. Leonard, J.E. Marsden, Controlled Lagrangian systems with gyroscopic forcing and dissipation, European Journal of Control, 10(5)(2004) 478-496.
9
[10] R. Ortega, M.W. Spong, Stabilization of underactuated mechanical systems via interconnection and damping assignment, IFAC Proceedings Volumes, 33(2) (2000) 69-74.
10
[11] R. Ortega, M.W. Spong, F. Gómez-Estern, G. Blankenstein, Stabilization of a class of underactuated mechanical systems via interconnection and damping assignment, IEEE transactions on automatic control, 47(8) (2002) 1218-1233.
11
[12] R. Ortega, A. Van Der Schaft, B. Maschke, G. Escobar, Interconnection and damping assignment passivity-based control of port-controlled Hamiltonian systems, Automatica, 38(4) (2002) 585-596.
12
[13] C.F. Aguilar.Iba.ez, O.O.G. Frias, A simple model matching for the stabilization of an inverted pendulum cart system, International Journal of Robust and Nonlinear Control, 18(6) (2008) 688-699.
13
[14] J.-J.E. Slotine, W. Li, Applied nonlinear control, Prentice hall Englewood Cliffs, NJ, 1991.
14
[15] J. José, E. Saletan, Classical dynamics: a contemporary approach, in, AAPT, 2000.
15
[16] J.E. Marsden, Lectures on mechanics, Cambridge University Press, 1992.
16
[17] A. Donaire, R. Mehra, R. Ortega, S. Satpute, J.G. Romero, F. Kazi, N.M. Singh, Shaping the energy of mechanical systems without solving partial differential equations, IEEE Transactions on Automatic Control, 61(4) (2016) 1051-1056.
17
[18] J.K. Holm, M.W. Spong, Kinetic energy shaping for gait regulation of underactuated bipeds, in: Control Applications, 2008. CCA 2008. IEEE International Conference on, IEEE, 2008, pp. 1232-1238.
18
[19] C. Belta, V. Kumar, Trajectory design for formations of robots by kinetic energy shaping, in: Robotics and Automation, 2002. Proceedings. ICRA'02. IEEE International Conference on, IEEE, 2002, pp. 2593-2598.
19
[20] N.K. Haddad, A. Chemori, S. Belghith, External disturbance rejection in IDA-PBC controller for underactuated mechanical systems: From theory to real time experiments, in: Control Applications (CCA), 2014 IEEE Conference on, IEEE, 2014, pp. 1747-1752.
20
[21] A. Donaire, J.G. Romero, R. Ortega, B. Siciliano, M. Crespo, Robust IDA.PBC for underactuated mechanical systems subject to matched disturbances, International Journal of Robust and Nonlinear Control, 27(6) (2017) 1000-1016.
21
[22] N.K. Haddad, A. Chemori, S. Belghith, Robustness enhancement of IDA-PBC controller in stabilising the inertia wheel inverted pendulum: theory and real-time experiments, International Journal of Control, (2017) 1-16.
22
[23] S. Riachy, Y. Orlov, T. Floquet, R. Santiesteban, J.P. Richard, Second.order sliding mode control of underactuated mechanical systems I: Local stabilization with application to an inverted pendulum, International Journal of Robust and Nonlinear Control, 18(4.5) (2008) 529-543.
23
ORIGINAL_ARTICLE
Exact Closed-Form Solution for Vibration Analysis of Beams Carrying Lumped Masses with Rotary Inertias
In this paper, an exact closed-form solution is presented for free vibration analysis of Bernoulli–Euler beams carrying attached masses with rotary inertias. The proposed technique explicitly provides frequency equation and corresponding mode as functions with two integration constants which should be determined by external boundary conditions implementation and leads to the solution to a two by two eigenvalue problem. The concentrated masses and their rotary inertia are modeled using Dirac’s delta generalized functions without implementation of continuity conditions. The non-dimensional inhomogeneous differential equation of motion is solved by applying integration procedure. Using the fundamental solutions which are made of the appropriate linear composition of trigonometric and hyperbolic functions leads to making the implementation of boundary conditions much easier. The proposed technique is employed to study the effects of quantity, position and translational and rotational inertia of the concentrated masses on the dynamic behavior of the beam for all standard boundary conditions. Unlike many of the previous exact approaches, the presented solution has no limitation in a number of concentrated masses.
https://ajme.aut.ac.ir/article_2754_dcadc9c4fcb956e606786b3ec673d8ea.pdf
2018-06-01T11:23:20
2020-09-30T11:23:20
73
90
10.22060/mej.2017.12932.5475
Vibration analysis
Concentrated mass
Rotary inertia
Dirac’s delta function
H.
Afshari
afshari_hasan@yahoo.com
true
1
Department of Mechanical Engineering, Khomeinishahr Branch, Islamic Azad University, Khomeinishahr/Isfahan, Iran
Department of Mechanical Engineering, Khomeinishahr Branch, Islamic Azad University, Khomeinishahr/Isfahan, Iran
Department of Mechanical Engineering, Khomeinishahr Branch, Islamic Azad University, Khomeinishahr/Isfahan, Iran
AUTHOR
K.
Torabi
kvntrb@kashanu.ac.ir
true
2
Department of Mechanical Engineering, Faculty of Engineering, University of Isfahan, 81746-73441 Isfahan, Iran
Department of Mechanical Engineering, Faculty of Engineering, University of Isfahan, 81746-73441 Isfahan, Iran
Department of Mechanical Engineering, Faculty of Engineering, University of Isfahan, 81746-73441 Isfahan, Iran
LEAD_AUTHOR
F.
Hajiaboutalebi
f.hajiaboutalebi@eng.ui.ac.ir
true
3
Department of Mechanical Engineering, Faculty of Engineering, University of Isfahan, 81746-73441 Isfahan, Iran
Department of Mechanical Engineering, Faculty of Engineering, University of Isfahan, 81746-73441 Isfahan, Iran
Department of Mechanical Engineering, Faculty of Engineering, University of Isfahan, 81746-73441 Isfahan, Iran
AUTHOR
[1] Y. Chen, On the vibration of beams or rods carrying a concentrated mass, Journal of Applied Mechanics, 30(2) (1963) 310-311.
1
[2] K. Low, A modified Dunkerley formula for eigenfrequencies of beams carrying concentrated masses, International Journal of Mechanical Sciences, 42(7) (2000) 1287-1305.
2
[3] P. Laura, J. Pombo, E. Susemihl, A note on the vibrations of a clamped-free beam with a mass at the free end, Journal of Sound and Vibration, 37(2) (1974) 161-168.
3
[4] E. Dowell, On some general properties of combined dynamical systems, American Society of Mechanical Engineers, (1978).
4
[5] P. Laura, P.V. de Irassar, G. Ficcadenti, A note on transverse vibrations of continuous beams subject to an axial force and carrying concentrated masses, Journal of Sound and Vibration, 86(2) (1983) 279-284.
5
[6] M. Gürgöze, A note on the vibrations of restrained beams and rods with point masses, Journal of Sound and Vibration, 96(4) (1984) 461-468.
6
[7] M. Gürgöze, On the vibrations of restrained beams and rods with heavy masses, Journal of Sound and Vibration, 100(4) (1985) 588-589.
7
[8] W. Liu, J.-R. Wu, C.-C. Huang, Free vibration of beams with elastically restrained edges and intermediate concentrated masses, Journal of Sound and Vibration, 122(2) (1988) 193-207.
8
[9] K. Torabi, H. Afshari, M. Heidari-Rarani, Free vibration analysis of a non-uniform cantilever Timoshenko beam with multiple concentrated masses using DQEM, Engineering Solid Mechanics, 1(1) (2013) 9-20.
9
[10] K. Torabi, H. Afshari, M. Sadeghi, H. Toghian, Exact Closed-Form Solution for Vibration Analysis of Truncated Conical and Tapered Beams Carrying Multiple Concentrated Masses, Journal of Solid Mechanics, 9(4) (2017) 760-782.
10
[11] P. Laura, C. Filipich, V. Cortinez, Vibrations of beams and plates carrying concentrated masses, Journal of Sound Vibration, 117 (1987) 459-465.
11
[12] M. Hamdan, B. Jubran, Free and forced vibrations of a restrained uniform beam carrying an intermediate lumped mass and a rotary inertia, Journal of Sound and Vibration, 150(2) (1991) 203-216.
12
[13] C. Chang, Free vibration of a simply supported beam carrying a rigid mass at the middle, Academic Press (2000) 733-744.
13
[14] Y. Zhang, L.Y. Xie, X.J. Zhang, Transverse vibration analysis of euler-bernoulli beams carrying concentrated masses with rotatory inertia at both ends, Advanced Materials Research, Trans Tech Publ, (2010) 925-929.
14
[15] S. Maiz, D.V. Bambill, C.A. Rossit, P. Laura, Transverse vibration of Bernoulli–Euler beams carrying point masses and taking into account their rotatory inertia: Exact solution, Journal of Sound and Vibration, 303(3-5) (2007) 895-908.
15
[16] J.-S. Wu, B.-H. Chang, Free vibration of axial-loaded multi-step Timoshenko beam carrying arbitrary concentrated elements using continuous-mass transfer matrix method, European Journal of Mechanics-A/Solids, 38 (2013) 20-37.
16
[17] K. Torabi, H. Afshari, H. Najafi, Vibration Analysis of Multi-Step Bernoulli-Euler and Timoshenko Beams Carrying Concentrated Masses, Journal of Solid Mechanics, 5(4) (2013) 336-349.
17
[18] K. Torabi, H. Afshari, H. Najafi, Whirling Analysis of Axial-Loaded Multi-Step Timoshenko Rotor Carrying Concentrated Masses, Journal of Solid Mechanics, 9(1) (2017) 138-156.
18
[19] L. Meirovitch, Elements of vibration analysis, McGraw-Hill, 1975.
19
[20] L. Meirovitch, Fundamentals of vibrations, Waveland Press, 2010.
20
[21] M.J. Lighthill, An introduction to Fourier analysis and generalised functions, Cambridge University Press, 1958.
21
[22] J.F. Colombeau, New generalized functions and multiplication of distributions, Elsevier, 2000.
22
[23] H. Bremermann, L. Durand III, On analytic continuation, multiplication, and Fourier transformations of Schwartz distributions, Journal of Mathematical Physics, 2(2) (1961) 240-258.
23
ORIGINAL_ARTICLE
Effect of Concentrated Axial Harmonic Force on Lateral Vibration of a Mono- Disk Rotating Shaft
Rotors are widely used in industry and studying their vibrations is important. Lateral vibration of the rotors during operation is more important than its other vibration modes such as axial and torsional. The aim of this paper is to determine the effects of loads axially exerted on the assembled disk on a rotor as an introduction to modeling common phenomena such as surge and chock in rotors. Therefore, in this paper, the effect of a concentrated axial force acted on disk on the lateral vibration of a jeffcott rotor is investigated. Also, the effect of unbalance force on vibration behavior of the rotor is studied. The equation of motion was derived from Timoshenko beam model. The set of governing equations for vibration analysis of the rotor consist of four coupled partial differential equations. Since the derived equations are complex and coupled, and they have time-varying coefficients, they are solved by a combination of Galerkin and Newmark methods. Numerical examples are analyzed. The accuracy of derived equations is verified for a simple beam. Results show that the axial load is considerably effective on the amplitude of the lateral vibration of the rotor.
https://ajme.aut.ac.ir/article_2770_f8d532b1ff6c60f0f8109d009dd1cdeb.pdf
2018-06-01T11:23:20
2020-09-30T11:23:20
91
96
10.22060/ajme.2018.12951.5485
Jeffcott rotor
Axial load
Lateral vibration
Time response
M. R.
Zeinolabedini
zeinolabedini_mr@mut-es.ac.ir
true
1
Department of Mechanical Engineering, Yazd University, Yazd, Iran
Department of Mechanical Engineering, Yazd University, Yazd, Iran
Department of Mechanical Engineering, Yazd University, Yazd, Iran
AUTHOR
M.
Rafeeyan
rafeeyan@yazd.ac.ir
true
2
Faculty of Mechanical Engineering, University of Yazd, Yazd, Iran
Faculty of Mechanical Engineering, University of Yazd, Yazd, Iran
Faculty of Mechanical Engineering, University of Yazd, Yazd, Iran
LEAD_AUTHOR
[1] A. Musznynska, Rotor dynamics, Crc press, Taylor Francis Group, LLC. 2005.
1
[2] H.D. Nelson, A finite rotating shaft element using Timoshenko beam theory, Journal of Mechanical Design, 102(4) (1980) 703-803.
2
[3] S.L. Edney, C.H.J. Fox, E.J. williams, Tapered Timoshenko finite elements for rotor dynamics analysis, Journal of Sound and Vibration, 137(3) (1990) 463-481.
3
[4] S. Chen, M. Geradin, Exact and direct modeling earing systemtechnique for rotor-bs with arbitrary selected degress-of-freedom, Shock and Vibration, (1994) 497-506.
4
[5] S.H. Choi, C. Pierre, A.G. Ulsoy, Consistent modeling of rotating Timoshenko shafts subjected to axial loads, Journal of vibration and acoustics, 114(2) (1992) 249-259.
5
[6] M. Ouyang, M. Wang, A dynamic model for a rotating beam subjected to axially moving forces, Journal of Sound and Vibration, 308 (2007) 674-682.
6
[7] A. Askarian, S.M.R. Hashemi, Effect of axial force, unbalance and coupling misalignment on vibration of a rotor gas turbine, 14 th International Congress on Sound Vibration. Australia, 2007.
7
[8] M. Nawal, A.L. Raheimg, Free vibration of simply supported beam subjected to axial force, Journal of Babylon University, 2012.
8
[9] A.A. Motallebi, M. Poorjamshidian, Vibration analysis of a nonlinear beam under axial force by homotopy analysis method, Journal of Solid Mechanics, 6 (2014) 289-298.
9
[10] K. Torabi, H. Afshari, Exact solution for whirling analysis of axial–loaded Timoshenko rotor using basic functions, 4 (2015) 97-108.
10
[11] G. Genta, Dynamics of rotating systems, Springer Science & Business Media, 2007.
11
[12] J. R. Hutchinson, Shear cofficients for Timoshenko beam theory, Journal of Applied Mechanics, 68(1) (2001) 87-92.
12
[13] N.M. Newmark, A method of computation for structural dynamics, Journal of the engineering mechanics division, 85 (1959) 67-94.
13
[14] G. Bassin, S.M. Brodsky, H. Wolkaff, Statics and Strength of Materials, McGRAW-Hill Book Company, 1979.
14
[15] J. Vance, F. Zeidan, B. Murphy, Machinery Vibration and Rotor Dynamics, John Wiley & sons, INC, 2010.
15
ORIGINAL_ARTICLE
Residual Stresses Measurement in UIC 60 Rail by Ring-Core Method and Sectioning Technique
The measurement of residual stress in rail foot, according to manufacturing standards is mandatory. In this study, the ring-core method and the sectioning technique are used to measure the residual stresses. A calibration technique for the ring-core method has been explained and simulated by the finite element analysis. The calibration coefficient has been determined for certain parameters and various depths of the annular groove. The ring-core method has been simulated for the uniaxial residual stress field and it is observed that the maximum error in the maximum principal residual stress was about 13% which is about 5% of material yield stress. The residual stresses have been measured at the UIC 60 rail foot by the ring-core method and the sectioning technique, and the results are in a good agreement with earlier investigations in this field. Also, it has been indicated that maximum residual stresses on the rail foot are not in the longitudinal direction and in the subsurface of the rail foot, the maximum principal direction coincides with the longitudinal direction. Both methods indicated tensile residual stresses on the rail foot, but the ring-core method predicted 27% higher longitudinal residual stress on the rail foot in comparing with the sectioning technique.
https://ajme.aut.ac.ir/article_2737_46d4340a195ded3a0476354ed2e13dc3.pdf
2018-06-01T11:23:20
2020-09-30T11:23:20
99
106
10.22060/mej.2017.12879.5457
Residual stress
Sectioning
Ring-Core
Calibration coefficient
Rail
M.A.
Moazam
ma.moazam@grad.kashanu.ac.ir
true
1
Faculty of Mechanical Engineering, University of Kashan, Kashan, Iran.
Faculty of Mechanical Engineering, University of Kashan, Kashan, Iran.
Faculty of Mechanical Engineering, University of Kashan, Kashan, Iran.
AUTHOR
M.
Honarpisheh
honarpishe@kashanu.ac.ir
true
2
Faculty of Mechanical Engineering, University of Kashan, Kashan, Iran.
Faculty of Mechanical Engineering, University of Kashan, Kashan, Iran.
Faculty of Mechanical Engineering, University of Kashan, Kashan, Iran.
LEAD_AUTHOR
[1] C. Betegon Biempica, J. J. del Coz Diaz, P. J. Garcia Nieto, I. Penuelas Sanchez, Nonlinear Analysis of Residual Stresses in a Rail Manufacturing Process by FEM, Applied Mathematical Modelling 33 (2009) 34-53.
1
[2] M. A. Moazam, A. Ghasemi, M. Moradi, H. Monajatizadeh, Pattern of Residual Stress in Rail by FEM Analysis and Strain Gage Sectioning Technique, Iranian Journal of Materials Forming 2(1) (2015) 1-10.
2
[3] M. Sedighi, M. Honarpisheh, Investigation of cold rolling influence on near surface residual stress distribution in explosive welded multilayer, Strength of Materials 44(6) (2012), 693-698.
3
[4] M. Kotobi, M. Honarpisheh, Uncertainty analysis of residual stresses measured by slitting method in equal-channel angular rolled Al-1060 strips, The Journal of Strain Analysis for Engineering Design 52(2) (2017), 83-92.
4
[5] M. Honarpisheh, E. Haghighat, M. Kotobi, Investigation of residual stress and mechanical properties of equal channel angular rolled St12 strips, Proceedings of the Institution of Mechanical Engineers, Part L: Journal of Materials: Design and Applications (2016) https://doi.org/10.1177/1464420716652436.
5
[6] M. Kotobi, M. Honarpisheh, Experimental and numerical investigation of through-thickness residual stress of laser-bent Ti samples, The Journal of Strain Analysis for Engineering Design 52(6) (2017) 347-355.
6
[7] I. Alinaghian, M. Honarpisheh, S. Amini, The influence of bending mode ultrasonic-assisted friction stir welding of Al-6061-T6 alloy on residual stress, welding force and macrostructure, The International Journal of Advanced Manufacturing Technology 95 (5-8) (2018) 2757-2766.
7
[8] M. Honarpisheh, F. Nazari, Uncertainty analysis of contour method in the hot extruded Aluminum specimens, Modares Mechanical Engineering, 17(5) (2017) 439-445.
8
[9] J. Basu, S. L. Srimani D. S. Gupta, Rail Behavior During Cooling after Hot Rolling, The Journal of Strain Analysis
9
for Engineering Design, 39(1) (2004) 15-24.
10
[10] G. Schleinzer, F. D. Fischer, Residual stress formation during the roller straightening of railway rails, International Journal of Mechanical Sciences 43(10) (2001) 2281-2295.
11
[11] W. H. Hodgson, Residual Stress in Rail, Rail Quality and Maintenance for Modern Railway Operation, Dordrecht, Netherlands, Kluwer Academic Publishers (1993) 61-73.
12
[12] P. J. Webster, G. Mills, X. Wang, W. P. Xang, Residual Stress Measurements in Rails by Neutron Diffraction, Netherlands, Kluwer Academic Publishers (1993) 307-314.
13
[13] G. Schleinzer, F. D. Fischer, Residual stresses in new rails, Materials Science and Engineering: A 288(2) (2000) 280-283.
14
[14] S. L. Srimani, J. Basu, An Investigation for Control of Residual Stress in Roller-Straightened Rails, The Journal of Strain Analysis for Engineering Design 38(3) (2003) 261-268.
15
[15] European Standard, prEN 13674-1, Railway Applications-Track-Rail, Part 1: Vignole railway rails 46 kg/m and above, Nov. 2002.
16
[16] J. W. Ringsberg, H. Bjarnehed, A. Johansson, B. L. Josefson, Rolling contact fatigue of rails-finite element modelling of residual stresses, strains and crack initiation, Proceedings of the Institution of Mechanical Engineers, Part F: Journal of Rail and Rapid Transit 214(1) (2000) 7-19.
17
[17] M. E. Turan, S. Ozcelik, F. Husem, H. Ahlatci, Y. Sun, I. Tozlu, The effect of head hardening process on the residual stress of rails, Proceedings of the Institution of Mechanical Engineers, Part F: Journal of Rail and Rapid Transit 232(2) (2018) 589-595.
18
[18] G. Donzella, M. Scepi, L. Solazzi, F. Trombini, The effect of block braking on the residual stress state of a solid railway wheel.” Proceedings of the Institution of Mechanical Engineers, Part F: Journal of Rail and Rapid Transit 212(2) (1998) 145-158.
19
[19] J. Václavík, O.Weinberg, P.Bohdan, J.Jankovec, S. Holý. Evaluation of Residual Stresses using Ring Core Method, EPJ Web of Conferences 16 (2010) 44004.
20
[20] K. Maslákováa, F. Trebuna, P. Frankovský, M. Binda, Applications of the strain gauge for determination of residual stresses using Ring-core method, Procedia Engineering 48 (2012) 396-401.
21
[21] F. Mendaa, P. Šarga, T. Lipták, F. Trebuna, Analysis of the geometric shape of the cutter in Ring-Core measurement, Procedia Engineering 96 (2014) 289-293.
22
[22] C. Bouffioux, R. Pesci, R. Boman, N. Caillet, J. P. Ponthot, A. M. Habraken, Comparison of residual stresses on long rolled profiles measured by X-ray diffraction ,ringcore and the sectioning methods and simulated by FE method, Thin Walled Structures104 (2016) 126-134.
23
[23] A. Misra, H. A. Peterson, Examination of the ring method for determination of residual stresses, Experimental Mechanics 21(7) (1981) 268-272.
24
[24] S. Keil, Experimental determination of residual stresses with the ring-core method and an on line measuring, Experimental Technique 16(5) (1992) 17-24.
25
[25] A. Civin, M. Vlk, Analysis of Calibration Coefficients for Incremental Strain Method Used for Residual Stress Measurement by Ring-Core Method, Applied Mechanics (2010) 25-28.
26
[26] ABAQUS Users Manual, Version 6.2, Hibbit, Karlsson and Sorensen Inc.
27
[27] Tokyo Sokki KenkyujoCo, Ltd., TML Strain gage cataloge, Accessed on 1 Aguest 2016; http://www.tml.jp/e.
28
ORIGINAL_ARTICLE
The Effect of Impact Energy Parameters on the Closed-Cell Aluminum Foam Crushing Behavior Using X-Ray Tomography Method
The present study is devoted to the numerical and experimental investigation of the influence of dominant impact parameters, including inertia and impact velocity, on the closed-cell aluminum foam behavior. In order to access 3D modeling of the internal microstructure of the foam samples, a new technique based on computerized tomography (CT) of 2D images is utilized. The influence of the abovementioned influential parameters is studied for three different foam densities. In order to validate finite element results, low-velocity impact tests were conducted. The results demonstrate that for a constant level of impactor energy, two primary impact quantities of interest, i.e. maximum stress and energy absorption, are highly dependent on the values of impactor momentum. In contrast, increasing the value of impactor inertia results in negligible variations of energy absorption for different foam densities. Similarly, increasing inertia at a constant foam density shows no significant variation in peak stress and a slight change in energy absorption. On the other hand, the velocity of impactor at a constant level of impactor energy plays a crucial role such that for all three different foam sample densities, the case of higher impactor velocity causes greater values of peak stress as well as energy absorption.
https://ajme.aut.ac.ir/article_2743_52bde5b0c3c6a909978520323ef2c481.pdf
2018-06-01T11:23:20
2020-09-30T11:23:20
107
116
10.22060/mej.2017.13385.5613
Finite element analysis
Experimental test
Low-velocity impact
Closed-cell aluminum foam
Energy Absorption
S.
Talebi
s.talebi@aut.ac.ir
true
1
Department of Mechanical Engineering, Amirkabir University of Technology, Tehran, Iran
Department of Mechanical Engineering, Amirkabir University of Technology, Tehran, Iran
Department of Mechanical Engineering, Amirkabir University of Technology, Tehran, Iran
AUTHOR
M.
Sadighi
mojtaba@aut.ac.ir
true
2
Department of Mechanical Engineering, Amirkabir University of Technology, Tehran, Iran
Department of Mechanical Engineering, Amirkabir University of Technology, Tehran, Iran
Department of Mechanical Engineering, Amirkabir University of Technology, Tehran, Iran
LEAD_AUTHOR
M. M.
Aghdam
aghdam@aut.ac.ir
true
3
Department of Mechanical Engineering, Amirkabir University of Technology, Tehran, Iran
Department of Mechanical Engineering, Amirkabir University of Technology, Tehran, Iran
Department of Mechanical Engineering, Amirkabir University of Technology, Tehran, Iran
AUTHOR
[1] T. Miyoshi, M. Itoh, S. Akiyama, A. Kitahara, ALPORAS Aluminum Foam: Production Process, Properties, and Applications, Advanced Engineering Materials, 2(4) (2000) 179–183.
1
[2] S. Akiyama, H. Ueno, K. Imagawa, A. Kitahara, S. Nagata, K. Morimoto, T. Nishikawa, M. Itoh, Foamed metal and method of producing same, US Patent 4.713.277, 1987.
2
[3] S. Akiyama, K. Imagawa, A. Kitahara, S. Nagata, K. Morimoto, T. Nishikawa, M. Itoh, European Patent Application 0.210.803 A1, 1986.
3
[4] J.C. Elliot, US Patent 2.983.597, 1961.
4
[5] W.S. Fiedler, US Patent 3.214.265, 1965.
5
[6] P.W. Hardy, G.W. Peisker, US Patent 3.300.296, 1967.
6
[7] J. Bjorksten, E.J. Rock, US Patent 3.707.367, 1972.
7
[8] C.B. Berry, US Patent 3.669.654, 1972.
8
[9] J. Weber, German Patent Application 3.516.737, 1986.
9
[10] M. Peroni, G. Solomos, V. Pizzinato, Impact behaviour testing of aluminium foam, International Journal of Impact Engineering, 53 (2013) 74−83.
10
[11] J. Banhart, Manufacture, characterisation, and application of cellular metals and metal foams, Progress in Materials Science, 46(6) (2001) 559–632.
11
[12] M.F. Ashby, A. Evans, N.A. Fleck, L.J. Gibson, J.W. Hutchinson, H.N.G. Wadley. Metal foams: a design guide, 1st edition, Butterworth-Heinemann, 2000.
12
[13] A.G. Evans, J.W. Hutchinson, N.A. Fleck, M.F. Ashby, H.M.G. Wadley, The topological design of multifunctional cellular metals, Progress in Materials Science, 46(3-4) (2001) 309–327.
13
[14] R. Singh, P.D. Lee, T.C. Lindley, C. Kohlhauser, C. Hellmich, M. Bram, T. Imwinkelried, R.J. Dashwood, Characterization of the deformation behavior of intermediate porosity interconnected Ti foams using micro-computed tomography and direct finite element modeling, Acta Biomaterialia, 6(6) (2010) 2342–2351.
14
[15] R. Rajendran, A. Moorthi, S. Basu, Numerical simulation of drop weight impact behaviour of closed cell aluminium foam, Materials and Design, 30 (2009) 2823–2830.
15
[16] Y. Song, Z. Wang, L. Zhao, J. Luo, Dynamic crushing behavior of 3D closed-cell foams based on Voronoi random model, Materials and Design, 31 (2010) 4281–4289.
16
[17] Y. Liu, W. Gong, X. Zhang, Numerical investigation of influences of porous density and strain-rate effect on dynamical responses of aluminum foam, Computational Materials Science, 91(2014) 223-230.
17
[18] Q. Fang, J. Zhang, Y. Zhang, J. Liu, Z. Gong, Mesoscopic investigation of closed-cell aluminum foams on energy absorption capability under impact, Composite Structures. 124 (2015) 409-420.
18
[19] B. Li, G. Zhao, T. Lu, Low strain rate compressive behavior of high porosity closed-cell aluminum foams, Science China Technological Sciences, 55(2) (2012) 451-463.
19
[20] M.J. Nayyeri, S.M.H. Mirbagheri, D.H. Fatmehsari, Compressive behavior of tailor-made metallic foams (TMFs): Numerical simulation and statistical modeling, Materials and Design, 84 (2015) 223–230.
20
[21] P. Wang, S. Xu, Z. Li, J. Yang, C. Zhan, H. Zheng, S. Hu, Experimental investigation on the strain-rate effect and inertia effect of closed-cell aluminum foam subjected to dynamic loading, Materials Science and Engineering: A, 620 (2015) 253-261.
21
[22] S. Birla, D.P. Mondal, S. Das, A. Khare, J. P. Singh, Effect of cenosphere particle size and relative density on the compressive deformation behavior of aluminum-cenosphere hybrid foam, Materials and Design, 117 (2017) 168–177.
22
[23] L. Li, P. Xue, G. Luo, A Numerical Study on Deformation Mode and Strength Enhancement of Metal Foam under Dynamic Loading, Materials and Design, 110 (2016) 72–79.
23
[24] H. Toda, T. Ohgaki, K. Uesugi, K. Makii, Y. Aruga, T. Akahori, M. Niinomi, T. Kobayashi, In situ observation of fracture of aluminium foam using synchrotron X-ray micro tomography, Key Engineering Materials, 297-300 (2005) 1189-1195.
24
[25] H. Toda, M. Takata, T. Ohgaki, M. Kobayashi, T. Kobayashi, K. Uesugi, K. Makii, Y. Aruga, 3-D image-based mechanical simulation of aluminium foams: effects of internal microstructure, Advanced Engineering Materials, 8(6) (2006) 459-467.
25
[26] H. Toda, I. Sinclair, J.Y. Buffière, E. Maire, K.H. Khor, P. Gregson, T. Kobayashi, A 3D measurement procedure for internal local crack driving forces via synchrotron X-ray microtomography, Acta Materialia, 52(5) (2004) 1305-1317.
26
[27] A. Sassov, E. Cornelis, D. Van Dyck, Non-destructive 3D Investigation of Metal Foam Microstructure, Materialwissenschaft and Werkstofftechnik, 31(6) (2000) 571-573.
27
[28] T. Ohgaki, H. Toda, M. Kobayashi, K. Uesugi, T. Kobayashi, M. Niinomi, T. Akahori, K. Makii, Y. Aruga, In-situ High-resolution X-ray CT Observation of Compressive and Damage Behaviour of Aluminium Foams by Local Tomography Technique, Advanced Engineering Materials. 8(6) (2006) 473-475.
28
[29] Y. Liu, W. Gong, X. Zhang, Numerical investigation of influences of porous density and strain-rate effect on dynamical responses of aluminum foam, Computational Materials Science. 91 (2014) 223-230.
29
[30] A. Elmoutaouakkil, L. Salvo, E. Maire, G. Peix, 2D and 3D Characterization of Metal Foams Using X-ray Tomography, Advanced Engineering Materials, 4(10) (2002) 803-807.
30
[31] C. Veyhl, I. V. Belova, G. E. Murch, T. Fiedler, Finite element analysis of the mechanical properties of cellular aluminium based on micro-computed tomography, Materials Science and Engineering: A, 528(13-14) (2011) 4550-4555.
31
[32] J.F. Ramírez, M. Cardona, J.A. Velez, I. Mariaka, J.A. Isaza, E. Mendoza, S. Betancourt, P. Fernández-Morales, Numerical modeling and simulation of uniaxial compression of aluminum foams using FEM and 3D-CT images, Procedia Materials Science, 4 (2014) 227-231.
32
[33] M.A. Kader, M.A. Islam, M. Saadatfar, P.J. Hazell, A.D. Brown, S. Ahmed, J.P. Escobedo, Macro and micro collapse mechanisms of closed-cell aluminium foams during quasi-static compression, Materials and Design, 118 (2017) 11–21.
33
[34] D. Miedzińska, T. Niezgoda, R. Gieleta, Numerical and experimental aluminum foam microstructure testing with the use of computed tomography, Computational Materials Science, 64 (2012) 90-95.
34
[35] C. Petit, E. Maire, S. Meille, J. Adrien, Two-scale study of the fracture of an aluminum foam by X-ray tomography and finite element modeling, Materials and Design, 120 (2017) 117–127.
35
[36] M. Saadatfar, M. Mukherjee, M. Madadi, G.E. Schröder-Turke, F. Garcia-Morenoc, d, F.M. challere, S. Hutzlerb, A.P. Shepparda, J. Banhartc, d, U. Ramamurty. Structure and deformation correlation of closed-cell aluminium foam subject to uniaxial compression, Acta Materialia, 60(8) (2012) 3604−3615.
36
[37] Y. Sun, Q.M. Li, T. Lowe, S.A. McDonald, P.J. Withers, Investigation of strain-rate effect on the compressive behaviour of closed-cell aluminium foam by 3D image-based modelling, Materials and Design, 89 (2016) 215–224.
37
[38] J. Kadkhodapour, S. Raeisi. Micro–macro investigation of deformation and failure in closed-cell aluminum foams, Computational Materials Science, 83 (2014) 137–148.
38
[39] H. Hatami, M. Damghani Nouri, Experimental and numerical investigation of lattice-walled cylindrical shell under low axial impact velocities, Latin American Journal of Solids and Structures, 12 (2015) 1950-1971.
39
[40] H. Hatami, M. Shokri Rad, A. Ghodsbin Jahromi, A theoretical analysis of the energy absorption response of expanded metal tubes under impact loads, International Journal of Impact Engineering, 109 (2017) 224-239.
40
[41] A. Ghodsbin Jahromi, H. Hatami, Energy absorption performance on multilayer expanded metal tubes under axial impact, Thin-Walled Structures, 116 (2017) 1-11.
41
[42] T. Miyoshi, M. Itoh, S. Akiyama, A. Kitahara, ALPORAS Aluminum Foam: Production Process, Properties, and Applications, Advanced Engineering Materials, 2(4) (2000) 179-183.
42
[43] S. Akiyama, K. Imagawa, A. Kitahara, S. Nagata, K. Morimoto, T. Nishizawa, M. Itoh, US Patent 4.713.277, 1987.
43
[44] T. Miyoshi, S. Hara, T. Mukai, K. Higashi, Development of a closed cell aluminium alloy foam with enhancement of the compressive strength, Materials Transactions, 42(10) (2001) 2118-2123.
44
[45] X.Y. Su, T.X. Yu, S.R. Reid, Inertia-sensitive impact energy absorbing structures part II: effect of strain rate, Int. J. Impact Eng, 16(4) (1995) 673–689.
45
ORIGINAL_ARTICLE
Multi-objective Optimization of Surface Roughness and Material Removal Rate Using an Improved Self-Adaptive Particle Swarm Optimization Algorithm in Milling process
Surface roughness is one of the main characteristics of a work piece in the quality control process. Several parameters such as cutting tool material and geometry, cutting parameters, work piece material properties, machine tool and coolant type affect the surface quality. An important task of process planners is the proper selection of three main cutting parameters: cutting speed, feed rate, and depth of cut in order to have not only low surface roughness, but also to perform the process within a reasonable amount of time. In this paper, using full factorial experiment design, the multiple regression equation for the surface roughness in the climb milling process of DIN 1.4021 martensitic stainless steel has been obtained and then used as one of the objective functions in the Multi-objective Improved Self- Adaptive Particle Swarm Optimization (MISAPSO) algorithm. This algorithm has been used to obtain cutting parameters to achieve low surface roughness simultaneously with a high material removal rate. The relatively new algorithm MISAPSO developed with some changes in the common particle swarm optimization (PSO) technique, has been used in multi-objective optimization of machining processes and was shown to be able to help the process planners in selecting cutting parameters.
https://ajme.aut.ac.ir/article_2769_45b67bc8dd25058fa23f5c52948ca9dc.pdf
2018-06-01T11:23:20
2020-09-30T11:23:20
117
124
10.22060/ajme.2018.12581.5373
Surface roughness
Material removal rate
Milling
Regression
MISAPSO
M. M.
Abootorabi
abootorabi@yazd.ac.ir
true
1
Faculty of Mechanical Engineering, Yazd University, P.O.B. 89195-741, Yazd, Iran
Faculty of Mechanical Engineering, Yazd University, P.O.B. 89195-741, Yazd, Iran
Faculty of Mechanical Engineering, Yazd University, P.O.B. 89195-741, Yazd, Iran
LEAD_AUTHOR
[1] P.G. Benardos, G.C. Vosniakos, Predicting Surface Roughness in Machining: A Review, Int J Mach Tool Manuf, 43 (2003) 833–844.
1
[2] M. Chandrasekaran, M. Muralidhar, C. Murali Krishna, U.S. Dixit, Application of soft computing techniques in machining performance prediction and optimization: a literature review, Int J Adv Manuf Technol, 46 (2010) 445-464.
2
[3] C.X. Feng, X. Wang, Development of empirical models for surface roughness prediction in finish turning, Int J Mach Tool Manuf, 20 (2002) 348–356.
3
[4] B. Ozcelik, M. Bayramoglu, The statistical modeling of surface roughness in high-speed flat end milling, Int J Mach Tool Manuf, 46 (2006) 1395–1402.
4
[5] H. Aouici, M.A. Yallese, B. Fnides, K. Chaoui, T. Mabrouki, Modeling and optimization of hard turning of X38CrMoV5-1 steel with CBN tool: machining parameters effects on flank wear and surface roughness, J Mech Sci Technol, 25 (2011) 2843–2851.
5
[6] S. Bharathi Raja, N. Baskar, Application of Particle Swarm Optimization technique for achieving desired milled surface roughness in minimum machining time, Expert Syst Appl, 39 (2012) 5982–5989.
6
[7] T. Kivak, Optimization of surface roughness and flank wear using the Taguchi method in milling of Hadfield steel with PVD and CVD coated inserts, Measurement, 50 (2014) 19–28.
7
[8] G.M.A. Acayaba, P.M. Escalona, Prediction of surface roughness in low speed turning of AISI316 austenitic stainless steel, CIRP J Manuf Sci Technol, 11 (2015) 62–67.
8
[9] M. Hanief, M.F. Wani, Modeling and prediction of surface roughness for running-in wear using Gauss-Newton algorithm and ANN, Appl Surf Sci, 357 (2015) 1573–1577.
9
[10] A. Gok, A new approach to minimization of the surface roughness and cutting force via fuzzy TOPSIS, multi-objective grey design and RSA, Measurement, 70 (2015) 100–109.
10
[11] M. Gupta, S. Kumar, Investigation of surface roughness and MRR for turning of UD-GFRP using PCA and Taguchi method, Int J Eng Sci Technol, 18 (2015) 70-81.
11
[12] A. Nejat, H.R. Kaviani, Aerodynamic optimization of a megawatt class horizontal axis wind turbine blade with particle swarm optimization algorithm, Modares Mechanical Engineering, 16(11) (2016) 1-11. (in Persian)
12
[13] M. Fallah, B. Moetakef Imani, Updating boring bar’s dynamic model using particle swarm optimization, Modares Mechanical Engineering, 16(12) (2016) 479-489. (in Persian)
13
[14] The Atlas Specialty Metals-Technical Handbook of Stainless Steels, (2016). http://www.atlasmetals.com.au
14
[15] ISO 4287, Geometrical Product Specifications (GPS) Surface Texture: Profile Method Terms, Definitions and Surface Texture Parameters. International Organization for Standardization, Geneva, 1997.
15
[16] E. Budak, A. Takeli, Maximizing Chatter Free Material Removal Rate in Milling through Optimal Selection of Axial and Radial Depth of Cut Pairs, CIRP Ann Manu Techn, 54 (2005) 353–356.
16
[17] M. Moradi, et al., Parameter dependencies in laser hybrid arc welding by design of experiments and by a mass balance, Journal of Laser Applications, 26 (2014) 1-9.
17
[18] T. Hastie, R. Tibshirani, J. Friedman, The Elements of Statistical Learning: Data Mining, Inference, and Prediction, 2nd Edition, Springer-Verlag, New York, 2009.
18
[19] H. Zeinoddini-Meymand, B. Vahidi, R.A. Naghizadeh, M. Moghimi, Optimal Surge Arrester Parameter Estimation Using a PSO-Based Multiobjective Approach, IEEE Trans Power Delivery, 28 (2013) 1758-1769.
19
[20] R. Caponetto, L. Fortuna, S. Fazzino, M.G. Xibilia, Chaotic sequences to improve the performance of evolutionary algorithms, IEEE Trans Evol Comput, 7 (2003) 289-304.
20
[21] C.M. Lin, M. Gen, Multi-criteria human resource allocation for solving multistage combinatorial optimization problems using multi-objective hybrid genetic algorithm, Expert Syst Appl, 34 (2008) 2480-2490.
21
[22] N.T. Thomopoulos, Essentials of Monte Carlo Simulation: Statistical Methods for Building Simulation Models, Springer-Verlag, New York, 2013.
22