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Optimization of the machinability of powder extruded Al-SiC MM composite using ANN analysis and genetic algorithm
, Article Proceedings of the World Powder Metallurgy Congress and Exhibition, World PM 2010, 10 October 2010 through 14 October 2010 ; Volume 2 , 2010 ; 9781899072194 (ISBN) ; Shafiee Motahar, M ; Faghani, H ; Boroushaki, M ; Sharif University of Technology
European Powder Metallurgy Association (EPMA)
2010
Abstract
Metal matrix composites (MMCs) have received considerable attention due to their excellent engineering properties, but their poor machinability has been the main deterrent to their substitution for metal parts. Optimization of machining parameters such as cutting speed, feed rate and depth of cut will improve the machinability of this material. This paper represents application of artificial neural network (ANN) model and genetic algorithm to study the machinability aspects of Al/SiC-15% produced by powder metallurgy process and to obtain optimum machining conditions. A multilayer feed forward ANN has been employed to study the effect of machining parameters on three aspects of machinablity,...