Selection, Modeling and Prediction of Life of Stripper of Compound Die

Abstract:

Compound dies are widely used for production of pierced blanks with high accuracy. Stripper is one of the major components of a compound die. In this paper, research work involved in the selection, modeling and prediction of life of stripper of compound die is presented. Knowledge based system (KBS) approach is used for selection of size of stripper. The knowledge base is constructed through coding of production rules of IF-THEN variety in AutoLISP language. Further, a CAD system is developed for automatic modeling of stripper of compound die. This CAD system works in conjunction with the KBS developed for selection of stripper. An artificial neural network (ANN) model is developed for prediction of life of stripper. Various factors affecting life of stripper are investigated through FEM analysis and the critical simulation values are determined. The proposed ANN model is trained by using FEM simulation results. The proposed work is tested successfully on different sheet metal parts taken from stamping industries. A sample run is also demonstrated in this paper.

• Periodical: Key Engineering Materials (Volume 639)
• Pages: 501-508
• DOI: https://doi.org/10.4028/www.scientific.net/KEM.639.501
• Online since: March 2015
• Authors: Sachin Kashid*, Shailendra Kumar, Hussein Mohamed Hussein
• Keywords: CAD, Knowledge Based System, Sheet Metal

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