A Programmatic Approach for the Prediction of Service Life of Deep Drawing Die Using ANN

Naranje V., SALUNKHE S. S.

1st International Conference on Applied Mechanical Engineering Research, ICAMER 2019, Warangal, Hindistan, 2 - 04 Mayıs 2019, ss.465-473, (Tam Metin Bildiri) identifier

  • Yayın Türü: Bildiri / Tam Metin Bildiri
  • Doi Numarası: 10.1007/978-981-15-1201-8_52
  • Basıldığı Şehir: Warangal
  • Basıldığı Ülke: Hindistan
  • Sayfa Sayıları: ss.465-473
  • Anahtar Kelimeler: Artificial neural network, Deep drawing die, FE analysis, MATLAB, S-N approach
  • Gazi Üniversitesi Adresli: Evet

Özet

The present work is concerned with fatigue life prediction of active components of deep drawing dies. Finite element analysis is performed, and S-N approach is used to evaluate the number of cycles of deep drawing die. Based on the available evaluated data (from FE analysis) and mathematical formulae, the ANN program is developed in the MATLAB, which is used to predict the fatigue life of active components of deep drawing dies. The developed ANN program achieved satisfactory results and verified based on a demonstration of an industrial component.