Prediction of tool wear using regression and ANN models in end-milling operation a critical review

Erdik T., Şen Z.

International Journal of Advanced Manufacturing Technology, cilt.43, sa.7-8, ss.765-766, 2009 (SCI-Expanded) identifier

  • Yayın Türü: Makale / Tam Makale
  • Cilt numarası: 43 Sayı: 7-8
  • Basım Tarihi: 2009
  • Doi Numarası: 10.1007/s00170-008-1758-0
  • Dergi Adı: International Journal of Advanced Manufacturing Technology
  • Derginin Tarandığı İndeksler: Science Citation Index Expanded (SCI-EXPANDED), Scopus
  • Sayfa Sayıları: ss.765-766
  • Anahtar Kelimeler: ANN, Artificial intelligence, Regression method, Tool wear
  • İstanbul Medipol Üniversitesi Adresli: Hayır

Özet

Palanisamy et al. (Int J Adv Manuf Technol Volume 37:29-41, 2008) focus on two different models in their research, namely, regression model (RM) artificial neural network (ANN) for predicting tool wear. The prediction values from RM and ANN models are compared with the experimental values conducted by them. The discussion shall focus on the following four main points that are not considered in the study. © 2008 Springer-Verlag London Limited.