Prediction of life of piercing punches using artificial neural network and adaptive neuro fuzzy inference systems

SALUNKHE S. S., Rajamani D., Balasubramanian E., Chandrasekhar U.

International Journal of Materials Engineering Innovation, cilt.10, sa.1, ss.20-33, 2019 (Scopus) identifier

  • Yayın Türü: Makale / Tam Makale
  • Cilt numarası: 10 Sayı: 1
  • Basım Tarihi: 2019
  • Doi Numarası: 10.1504/ijmatei.2019.097892
  • Dergi Adı: International Journal of Materials Engineering Innovation
  • Derginin Tarandığı İndeksler: Scopus
  • Sayfa Sayıları: ss.20-33
  • Anahtar Kelimeler: Adaptive neuro fuzzy inference systems, ANFIS, ANN, Artificial neural network, Compound die, Finite element analysis, Piercing punch
  • Gazi Üniversitesi Adresli: Evet

Özet

Predicting the life of piercing punch is one of the major concerns in the design of compound dies. Finite element analysis is performed to determine the maximum and minimum principal stresses through which fatigue limit of punch is estimated. The factors affecting the life of punch are examined and a mathematical model is established using artificial neural network (ANN) and adaptive neuro fuzzy inference systems (ANFIS). The developed model is utilised to evaluate the life of punch for varied load conditions. Comparative evaluation of ANN and ANFIS results suggested that the later model is superior in predicting the life of punch and it can be effectively utilised in machine tool applications.