A Simple Mechanistic Model Used For Tool Wear in Turning AISI 4340 Steel
Ramesh Chandra Mohapatra1, Ananda Rabi Dhar2, Nilrudra Mandal3, Shibendu Shekhar Roy4

1Dr. Ramesh Chandra Mohapatra, Mechanical Engineering Department, Government College of Engineering Keonjhar-758002, Odisha, India.
2Ananda Rabi Dhar, Mechanical Engineering Department, National Institute of Technology, Durgapur – 713209, West Bengal, India.
3Nilrudra Mandal, Materials Processing & Microsystems Laboratory, CSIR-Central Mechanical Engineering Research Institute, Council of Scientific & Industrial Research (CSIR), Durgapur 713209, West Bengal, India.
4Shibendu Shekhar Roy, Mechanical Engineering Department, National Institute of Technology, Durgapur – 713209, West Bengal, India.
Manuscript received on July 30, 2019. | Revised Manuscript received on August 25, 2019. | Manuscript published on August 30, 2019. | PP: 4252-4255 | Volume-8 Issue-6, August 2019. | Retrieval Number: F9071088619/2019©BEIESP | DOI: 10.35940/ijeat.F9071.088619
Open Access | Ethics and Policies | Cite | Mendeley
© The Authors. Blue Eyes Intelligence Engineering and Sciences Publication (BEIESP). This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/)

Abstract: Determining correct tool life is a key to efficient machining, which makes tool wear extremely important. Development of new and exotic tool materials like ceramics, carbides, nitrides, cermet, diamonds, etc. has intensified research activities in the area of modeling and optimization of turning process. Building an ideal theoretical model is considerably complex because of involvement of multiple physics and absence of readily available data on material property. This paper describes an attempt of building a simple mechanistic model for turning AISI 4340 steel by an uncoated carbide insert using a commercial package ABAQUS/CAE. The tool wear rate is computed using USUI’s wear model on the results found after running simulation. The predicted tool wear data were found in close agreement with the experimental findings. 
Keywords: Turning, tool wear, mechanistic model, simulation.