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

作　　者：Nilesh Dhobale Sharad Mulik R.Jegadeeshwaran Abhishek Patange 

机构地区：[1]G.H.Raisoni College of Engineering and Management,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

出　　处：《Sound & Vibration》2021年第2期87-116,共30页声音与振动（英文）

摘　　要：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 super-vision 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.

关 键 词：Tool supervision system data acquisition and extraction decision algorithm artificial intelligence 

分 类 号：F42[经济管理—产业经济]