Publication Type:

Journal Article

Source:

Procedia Engineering, Volume 38, p.3900 - 3912 (2012)

URL:

http://www.sciencedirect.com/science/article/pii/S1877705812023612

Keywords:

Fuzzy

Abstract:

This paper presents a model for predicting tool life when end milling IS2062 steel using P30 uncoated carbide tipped tool under various cutting conditions. A tool life model is developed from regression model obtained by using results of the experiments conducted based on Taguchi's approach. A second model is developed based on fuzzy logic method for predicting tool life. The results obtained from fuzzy method are compared with regression model. The results of the fuzzy model is found to be more closer to experimental values

Cite this Research Publication

Dr. Gokulachandran J. and Mohandas, K., “Application of Regression and Fuzzy Logic Method for Prediction of Tool Life”, Procedia Engineering, vol. 38, pp. 3900 - 3912, 2012.