Optimization of Plastic Injection Molding Process by Combination of Artificial Neural Network and Genetic Algorithm
عنوان مقاله: Optimization of Plastic Injection Molding Process by Combination of Artificial Neural Network and Genetic Algorithm
شناسه ملی مقاله: JR_JOIE-6-13_005
منتشر شده در شماره 13 دوره 6 فصل در سال 1392
شناسه ملی مقاله: JR_JOIE-6-13_005
منتشر شده در شماره 13 دوره 6 فصل در سال 1392
مشخصات نویسندگان مقاله:
Mohammad Saleh Meiabadi - Meiabadi
Abbas Vafaeesefat - AssociateProfessor,Mechanical Engineering Department, Imam Hussein University
Fatemeh Sharifi - Instructor, Computer Engineering Department, Chamran University, Ahvaz, Iran
خلاصه مقاله:
Mohammad Saleh Meiabadi - Meiabadi
Abbas Vafaeesefat - AssociateProfessor,Mechanical Engineering Department, Imam Hussein University
Fatemeh Sharifi - Instructor, Computer Engineering Department, Chamran University, Ahvaz, Iran
Injection molding is one of the most important and common plastic formation methods. Combination of modeling tools and optimizationalgorithms can be used in order to determine optimum process conditions for the injection molding of a special part. Because of the complication of the injection molding process and multiplicity of parameters and their interactive effects on one another, analytical modeling of the process is either impossible or difficult. Therefore Artificial Neural Network (ANN) is used for modeling the process. Process conditions data is needed for modeling the process by the neural network. After modeling step, the model is combined with the Genetic Algorithm (GA). Based on the injection molding goals that have been turned into fitness function, the optimized conditions are obtained
کلمات کلیدی: Optimization; Solution space; Control variable; Neural network; Genetic algorithm
صفحه اختصاصی مقاله و دریافت فایل کامل: https://civilica.com/doc/790964/