Application of artificial neural network and adaptive neuro fuzzy inference systems for prediction of life of stripper

SALUNKHE S. S., Rajamani D., Esakki B.

International Journal of Modern Manufacturing Technologies, cilt.10, sa.1, ss.76-83, 2018 (Scopus) identifier

  • Yayın Türü: Makale / Tam Makale
  • Cilt numarası: 10 Sayı: 1
  • Basım Tarihi: 2018
  • Dergi Adı: International Journal of Modern Manufacturing Technologies
  • Derginin Tarandığı İndeksler: Scopus
  • Sayfa Sayıları: ss.76-83
  • Anahtar Kelimeler: ANFIS, ANN, Compound die, Finite element analysis, Stripper
  • Gazi Üniversitesi Adresli: Evet

Özet

Predicting the life of stripper 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 stripper is estimated. The factors affecting the life of stripper are examined and a mathematical model is established using artificial neural network (ANN) and adaptive neuro fuzzy inference systems (ANFIS). The developed model is utilized to evaluate the life of stripper for varied load conditions. Comparative evaluation of ANN and ANFIS results suggested that the later model is superior in predicting the life of stripper and it can be effectively utilized in machine tool applications.