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Optimization of the machinability of powder extruded Al-SiC MM composite using ANN analysis and genetic algorithm

Yousefi, R ; Sharif University of Technology | 2010

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  1. Type of Document: Article
  2. Publisher: European Powder Metallurgy Association (EPMA) , 2010
  3. Abstract:
  4. 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, namely, tool wear, cutting force and surface finish criteria. The input-output pattern required for training and testing are obtained from the experiments results. Continuous dry turning of round composite bars using titanium carbide inserts has been selected as the test method. ANN analysis shows that Cutting speed is the most influential machining parameter on tool wear. The optimization reveals that minimum objective function which is a combination of tool wear, cutting force and surface finish criteria results from low values of feed rate and depth of cut and moderate values of cutting speed
  5. Keywords:
  6. Genetic algorithm ; Metal matrix composites ; Algorithms ; Carbide tools ; Cutting ; Cutting tools ; Finishing ; Machining centers ; Metallic matrix composites ; Neural networks ; Silicon carbide ; Testing ; Wear of materials ; ANN ; Artificial neural network models ; Engineering properties ; Machining conditions ; Machining parameters ; Multi-layer feed forward ; Powder metallurgy process ; Training and testing ; Powder metallurgy
  7. Source: Proceedings of the World Powder Metallurgy Congress and Exhibition, World PM 2010, 10 October 2010 through 14 October 2010 ; Volume 2 , 2010 ; 9781899072194 (ISBN)