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

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Erdik T., Sen Z.

INTERNATIONAL JOURNAL OF ADVANCED MANUFACTURING TECHNOLOGY, vol.43, pp.765-766, 2009 (SCI-Expanded)

• Publication Type: Article / Editorial Material
• Volume: 43
• Publication Date: 2009
• Doi Number: 10.1007/s00170-008-1758-0
• Journal Name: INTERNATIONAL JOURNAL OF ADVANCED MANUFACTURING TECHNOLOGY
• Journal Indexes: Science Citation Index Expanded (SCI-EXPANDED), Scopus
• Page Numbers: pp.765-766
• Istanbul Technical University Affiliated: Yes

Abstract

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.