Tool Life Prediction of Ti [C,N] Mixed Alumina Ceramic Cutting Tool Using Gradient Descent Algorithm on Machining Martensitic Stainless Steel

Authors

Joseph Daniel S, Department of Mechanical Engineering, Mepco Schlenk Engineering College, Sivakasi, IndiaFollow
Senthil Kumar A, Department of Mechanical Engineering, Sethu Institute of Technology, Kariapatti, IndiaFollow

Abstract

In automated manufacturing systems, most of the manufacturing processes, including machining, are automated. Automatic tool change is one of the important parameters for reducing manufacturing lead time. Machining studies on Martensitic Stainless Steel was conducted using Ti[C,N] mixed alumina ceramic cutting tool. Tool life was evaluated using flank wear criterion. The tool life obtained from experimental machining process was taken as training dataset and test dataset for machine learning. Tool life model was developed using Gradient Descent Algorithm. The accuracy of the machine learning model was tested using the test data, and 99.83% accuracy was obtained.

Recommended Citation

S, Joseph Daniel and A, Senthil Kumar (2020) "Tool Life Prediction of Ti [C,N] Mixed Alumina Ceramic Cutting Tool Using Gradient Descent Algorithm on Machining Martensitic Stainless Steel," Journal of Mechanical Engineering Science and Technology (JMEST): Vol. 4: No. 2, Article 8.
Available at: https://citeus.um.ac.id/jmest/vol4/iss2/8