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International Journal of Engineering & Technology Sciences
IJETS 2014, 2(6), 474-486
Using ANFIS by BA optimization for modeling of plastic injection molding process
a Department of Mechanical Engineering, Sama Technical and Vocational Training College, Ayatollah Amoli Branch, Islamic Azad University, Amol, Iran
b Department of Mechanical Engineering, Ayatollah Amoli Branch, Islamic Azad University, Amol, Iran
ABSTRACT
Product weight is one of the most important characteristics for quality monitoring in plastic injection molding (PIM) parts. Four parameters that most important on product weight in PIM are melting temperature, injection velocity, packing pressure and cooling time. In the present work,Adaptive Neuro Fuzzy Inference System (ANFIS)is used to model the weight of the plastic injecting molding parts.However, the results show that in ANFIS training, the vector of radius has a very important role for its predicting accuracy. Therefore, theBees Algorithm (BA) isused to find the best vector of radius.