Open Access

REVIEW

Supervision of Milling Tool Inserts using Conventional and Artificial Intelligence Approach: A Review

Nilesh Dhobale¹, Sharad Mulik², R. Jegadeeshwaran^3,*, Abhishek Patange⁴

1 G. H. Raisoni College of Engineering and Management, Pune, affiliated to Savitribai Phule Pune University, Pune, 412207, India
2 RMD Sinhgad School of Engineering, Warje Pune, Maharashtra, 411058, India
3 School of Mechanical Engineering, Vellore Institute of Technology, Chennai, Tamil Nadu, 600127,India
4 Government College of Engineering, Pune, Maharashtra, 411005, India

* Corresponding Author: R. Jegadeeshwaran. Email:

Sound & Vibration 2021, 55(2), 87-116. https://doi.org/10.32604/sv.2021.014224

Received 11 September 2020; Accepted 03 March 2021; Issue published 21 April 2021

Abstract

Due to continuous cutting tool usage, tool supervision is essential for improving the metal cutting industry. In the metal removal process tool, supervision is carried out either by an operator or online tool supervision. Tool supervision helps to understand tool condition, dimensional accuracy, and surface superiority. For downtime in the metal cutting industry, the main reasons are tool breakage and excessive wear, so it is necessary to supervise tool which gives better tool life and enhance productivity. This paper presents different conventional and artificial intelligence techniques for tool supervision in the processing procedures that have been depicted in writing.

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