301 A Fuzzy Model for Prediction and Control of Forming Pressure in Maslennikov's Deep Drawing Process

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概要

• 論文の詳細を見る

• 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.

• 一般社団法人日本機械学会の論文

著者

• TAKAKURA N.

  Kyoto Institute of Technology

• YAMAGUCHI K.

  Kyoto Institute of Technology

• Hassan M.

  Dept. Of Mech. Eng. Assiut University Egypt

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• 301 A Fuzzy Model for Prediction and Control of Forming Pressure in Maslennikov's Deep Drawing Process

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