Searching for a novel optimization strategy in tensile and fatigue properties of alumina particulates reinforced aluminum matrix composite
 Mohsen Ostad Shabani,
 Ali Mazahery
 … show all 2 hide
Rent the article at a discount
Rent now* Final gross prices may vary according to local VAT.
Get AccessAbstract
Development and application of metal matrix composite materials and increased application of calculations, simulations and modeling in the area of semisolid solidification ask for the knowledge of compocasting for these materials. In this study, a selforganizing hierarchical particle swarm optimizer is implemented for computational modeling and optimization of the compocast high strength and highly uniform Al matrix composites. The matrix of the composite was a 6061 Al alloy and the reinforcement was alumina particle (Al_{2}O_{3}p). Experimental results were obtained for hardness, tensile and fatigue properties of the Al alloys with different vol.% of microparticles. The tensile strength of the composites increased considerably by increasing the reduction ratio in the cold rolling process. It is observed that the presence of reinforcement in the Al alloy degrades the lowcycle fatigue property when the Al matrix composites are subject to straincontrolled cyclic loading. The method combines position update rules, the standard velocity and the strengths of particle swarm optimization with the ideas of selection, crossover and mutation from GA.
 Omkar, SN, Rahul, K, Ananth, TVS, Naik, GN, Gopalakrishnan, S (2009) Quantum behaved particle swarm optimization (QPSO) for multiobjective design optimization of composite structures. Expert Sys Appl 36: pp. 1131211322 CrossRef
 Shabani, MO, Mazahery, A (2011) The ANN application in FEM modeling of mechanical properties of Al–Si alloy. Appl Math Model 35: pp. 57075713 CrossRef
 Beasley, D, Bull, DR, Martin, RR (1993) A sequential niching technique for multimodal function optimization. Evolut Comput 1: pp. 101125 CrossRef
 Coelho, L d S, Alotto, P (2008) Global optimization of electromagnetic devices using an exponential quantumbehaved particle swarm optimizer. IEEE Trans Magnet 44: pp. 10741077 CrossRef
 Mazahery, A, Shabani, MO (2012) Process conditions optimization in Al–Cu alloy matrix composites. Powder Technol 225: pp. 101106 CrossRef
 Krohling, RA, Mendel, E (2009) Bare bones particle swarm optimization with Gaussian or cauchy jumps. IEEE Cong Evol Comput CEC’09: pp. 32853291
 Mazahery, A, Shabani, MO (2011) The accuracy of various training algorithms in tribological behavior modeling of A356–B4C composites. Russ Metall (Metally) 7: pp. 699707 CrossRef
 Shabani, MO, Mazahery, A (2012) The performance of various artificial neurons interconnections in the modelling and experimental manufacturing of the composits. Materiali in tehnologije 46: pp. 109113
 Brits R (2002) Niching strategies for particle swarm optimization. In: Master’s thesis. Department of Computer Science, University of Pretoria, Pretoria, South Africa
 Kennedy J, Eberhart RC (1995) Particle swarm optimization. In: Proceedings of the IEEE International Conference on Neural Networks, vol. IV, Perth, Australia, 1942–1948
 Kennedy J (1999) Small worlds and megaminds: effects of neighborhood topology on particle swarm performance. In: Proceedings of the IEEE Congress on Evolutionary Computation 1931–1938
 Engelbrecht AP, Masiye BS, Pampara G (2005) Niching ability of basic particle swarm optimization algorithms. In: Proceedings of the IEEE Swarm Intelligence Symposium
 Mazahery, A, Shabani, MO (2012) Nanosized silicon carbide reinforced commercial casting aluminum alloy matrix: experimental and novel modeling evaluation. Powder Technol 217: pp. 558565 CrossRef
 Kennedy J, Mendes R (2002) Topological structure and particle swarm performance. In: Fogel DB, Yao X, Greenwood G, Iba H, Marrow P, Shackleton M (eds) Proceeding of 4th Congr. Evolutionary Computation (CEC 2002), Honolulu, HI, pp 1671–1676
 Bergh, F, Engelbrecht, AP (2006) A study of particle swarm optimization particle trajectories. Inform Sci 176: pp. 937971 CrossRef
 Kennedy J, Eberhart RC (2001) Swarm intelligence, Morgan Kaufman, Burlington
 Shabani, MO, Mazahery, A (2012) Application of finite element model and artificial neural network in characterization of Al matrix nanocomposites using various training algorithms. Metall Mater Trans A 43: pp. 21582165 CrossRef
 Quaak, CJ, Kool, WH (1994) Properties of semisolid aluminium matrix composites. Mater Sci Eng A 188: pp. 277282 CrossRef
 Hashim, J, Looney, L, Hashmi, MSJ (2002) Particle distribution in cast metal matrix composites. Part I. J Mater Process Technol 123: pp. 251257 CrossRef
 Mazahery, A, Shabani, MO (2012) Tribological behaviour of semisolid–semisolid compocast Al–Si matrix composites reinforced with TiB2 coated B4C particulates. Ceram Int 38: pp. 18871895 CrossRef
 Lim, SC, Gupta, M, Ren, L, Kwok, JKM (1999) The tribological properties of Al–Cu/SiCp metal–matrix composites fabricated using the rheocasting technique. J Mater Process Technol 89: pp. 591596 CrossRef
 Shabani, MO, Mazahery, A (2012) Artificial intelligence in numerical modeling of nano sized ceramic particulates reinforced metal matrix composites. Appl Math Model 36: pp. 54555465 CrossRef
 Mazahery, A, Shabani, MO (2011) Investigation on mechanical properties of nanoAl2O3reinforced aluminum matrix composites. J Compos Mater 45: pp. 25792586 CrossRef
 Vugt, LV, Froyen, L (2000) Gravity and temperature effects on particle distribution in Al–Si/SiCp composites. J Mater Process Technol 104: pp. 133144 CrossRef
 Irons, GA, OwusuBoahen, K (1995) Settling and clustering of silicon carbide particles in aluminium metal matrix composites. Metall Mater Trans B 26: pp. 980981 CrossRef
 Mazahery, A, Shabani, MO (2012) A comparative study on abrasive wear behavior of semisolid–liquid processed Al–Si matrix reinforced with coated B4C reinforcement. Trans Indian Inst Met 65: pp. 145154 CrossRef
 Shabani, MO, Mazahery, A (2012) Optimization of process conditions in casting aluminum matrix composites via interconnection of artificial neurons and progressive solutions. Ceram Int 38: pp. 45414547 CrossRef
 Karnezis, PA, Durrant, G, Cantor, B (1998) Characterization of reinforcement distribution in cast Alalloy/SiC composites. Mater Charact 40: pp. 97109 CrossRef
 Shabani, MO, Mazahery, A (2011) Microstructural prediction of cast A356 alloy as a function of cooling rate. JOM 63: pp. 132316 CrossRef
 Parrott, D, Li, X (2006) Locating and tracking multiple dynamic optima by a particle swarm model using speciation. IEEE Trans Evol Comput 10: pp. 440457 CrossRef
 Mazahery, A, Shabani, MO (2012) Influence of the hard coated B4C particulates on wear resistance of Al–Cu alloys. Compos Part B 43: pp. 13021308 CrossRef
 Sathiya P, Aravindan S, Haq AN, Paneerselvam K (2009) Optimization of friction welding parameters using evolutionary computational techniques, J Mater Process Technol (209):2576–2584
 Shabani, MO, Mazahery, A (2011) Prediction of mechanical properties of cast A356 alloy as a function of microstructure and cooling rate. Arch Metall Mater 56: pp. 671675
 Mazahery, A, Shabani, MO (2012) A356 reinforced with nano particles: numerical analysis of mechanical properties. JOM 64: pp. 323329 CrossRef
 Gowri, S, Samuel, FH (1992) Effect of cooling rate on the solidification behavior of Al7 Pct Si–SiC p metalmatrix composites. Metall Trans A 23: pp. 33693376
 Title
 Searching for a novel optimization strategy in tensile and fatigue properties of alumina particulates reinforced aluminum matrix composite
 Journal

Engineering with Computers
Volume 30, Issue 4 , pp 559568
 Cover Date
 20141001
 DOI
 10.1007/s0036601202991
 Print ISSN
 01770667
 Online ISSN
 14355663
 Publisher
 Springer London
 Additional Links
 Topics
 Keywords

 Optimization
 Metal matrix
 Microstructure
 Industry Sectors
 Authors

 Mohsen Ostad Shabani ^{(1)}
 Ali Mazahery ^{(1)}
 Author Affiliations

 1. Karaj Branch, Islamic Azad University, Karaj, Iran