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Development of a Tool Life Prediction Program for Increasing Reliability of Cutting Tools  

Kim Bong-Suk (아주대학교 대학원 기계공학과)
Kang Tae-Han (아주대학교 대학원 기계공학과)
Kang Jae-Hun (한국기계연구원 지능형정밀기계연구부)
Song Jun-Yeob (한국기계연구원 지능형정밀기계연구부)
Lee Soo-Hun (아주대학교 기계공학부)
Publication Information
Transactions of the Korean Society of Machine Tool Engineers / v.14, no.3, 2005 , pp. 1-7 More about this Journal
Abstract
The prediction for tool life is one of the most important factors for increasing reliability, stability, and productivity of manufacturing system. This paper deals with a tool life prediction method in view of reliability assessment for cutting tools. In this study, flank wear was focused among multi-factors deciding the tool wear state. First, tool life was predicted by correlation between flank wear and cutting time, based on the extended Taylor tool life equation of turning, including parameters of cutting speed, feed rate, and cutting depth. Second, each of cutting conditions of end-milling was equivalently converted to apply ball end-mill data to the extended Taylor equation. The web-based prediction program for tool life was developed as one of reliability assessment programs for machine tools.
Keywords
Tool life; Tool wear; Flank wear; Life prediction; Machine tool; Reliability;
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