Abstract
A fuzzy logic model was developed to predict and control forming pressure in the Maslennikov deep drawing process. A total of eleven variables including blank material, blank thickness, blank diameter, drawing ratio, friction coefficient, rubber hardness, compression ratio of rubber ring, strain, strain-rate, temperature and of blank and assistant punch force are taken into consideration. The model consists of two layers to correlate these variables to the forming pressure by generating a set fuzzy rules from the experimental and theoretical data. Membership functions and fuzzy rule bases for application to annealed aluminum (Al-O) are presented in details to demonstrate the modeling steps of such a complex forming process by fuzzy logic. High performance has been demonstrated when predicting the forming pressure limits and flow stress of aluminum blank (Al-O). Basede on such fuzzy model, a control system is proposed to monitor and control forming pressure in the Maslennikov deep drawing process.
