Prediction of life of compound die using artificial neural network (ANN)

SALUNKHE S. S., Kumar S.

15th International Conference on Metal Forming 2014, Palermo, İtalya, 21 - 24 Eylül 2014, cilt.622-623, ss.664-671, (Tam Metin Bildiri) identifier

  • Yayın Türü: Bildiri / Tam Metin Bildiri
  • Cilt numarası: 622-623
  • Doi Numarası: 10.4028/www.scientific.net/kem.622-623.664
  • Basıldığı Şehir: Palermo
  • Basıldığı Ülke: İtalya
  • Sayfa Sayıları: ss.664-671
  • Anahtar Kelimeler: Artificial neural network, Compound die, Sheet metal industries
  • Gazi Üniversitesi Adresli: Evet

Özet

Prediction of life of compound die is an important activity usually carried out by highly experienced die designers in sheet metal industries. In this paper, research work involved in the prediction of life of compound die using artificial neural network (ANN) is presented. The parameters affecting life of compound die are investigated through 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 compound dies designed for manufacturing sheet metal parts. A sample run of the proposed ANN model is also demonstrated in this paper.