Cutting trouble detection system based on quantitative comparison between predicted and measured cutting torques (1st report Cutting trouble detection for tool wear)

Cutting trouble detection system based on quantitative comparison between predicted and measured cutting torques (1st report Cutting trouble detection for tool wear)

This study aims to develop a monitoring system, which can automatically detect tool wear in end-milling operation. A feature of this system is the utilization of the predicted cutting torque for detecting the difference between normal and cutting trouble. The cutting torque predicted by a cutting fo...

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Bibliographic Details
Main Authors: Isamu NISHIDA, Muneharu TATEKAWA, Ryuta SATO, Keiichi SHIRASE
Format: Article
Language:Japanese
Published: The Japan Society of Mechanical Engineers 2017-12-01
Series:Nihon Kikai Gakkai ronbunshu
Subjects:
cutting trouble detection
end milling
cutting torque
simulation
monitoring
Online Access:https://www.jstage.jst.go.jp/article/transjsme/84/857/84_17-00433/_pdf/-char/en

Internet

https://www.jstage.jst.go.jp/article/transjsme/84/857/84_17-00433/_pdf/-char/en

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