Prediction of Life of Die Block Using Artificial Neural Network

Kashid S. S., Kumar S.

16th International Mechanical Engineering Congress (IMEC), Tamil Nadu, Hindistan, 13 - 15 Haziran 2014, ss.689-693, (Tam Metin Bildiri) identifier identifier

  • Yayın Türü: Bildiri / Tam Metin Bildiri
  • Doi Numarası: 10.4028/www.scientific.net/amm.592-594.689
  • Basıldığı Şehir: Tamil Nadu
  • Basıldığı Ülke: Hindistan
  • Sayfa Sayıları: ss.689-693
  • Gazi Üniversitesi Adresli: Hayır

Özet

Prediction of life of die block is an important activity of die design usually carried out by highly experienced die designers in sheet metal industries. In this paper, research work involved in the prediction of life of die block of compound die using artificial neural network (ANN) is presented. The parameters affecting life of die block are investigated through Finite Element Method (FEM) analysis and the critical simulation values are determined. Thereafter, an ANN model is developed using MATLAB. This ANN model is trained from FEM simulation results. The proposed ANN model is tested successfully on different die block. A sample run of the proposed ANN model is also demonstrated in this paper.