2024-03-29T06:43:05Z
https://nagoya.repo.nii.ac.jp/oai
oai:nagoya.repo.nii.ac.jp:00007325
2023-01-16T03:52:54Z
320:321:322
Intelligent Recognition of End Milling Conditions Based on Cutting Force Model ( Development of Monitoring Method without Any Databases)
切削力モデルに基づくエンドミル加工状態の知的認識 (データベースを必要としない手法の開発)
社本, 英二
20208
SHAMOTO, Eiji
20209
樋野, 励
20210
HINO, Rei
20211
梅崎, 雅之
20212
UMESAKI, Masayuki
20213
森脇, 俊道
20214
MORIWAKI, Toshimichi
20215
Milling
Modeling
Cutting Force
Tool Wear
Monitoring
An intelligent method is proposed to recognize various end milling conditions by comparing simulated and measured cutting forces. Static stiffness of the mechanical structure is identified by utilizing the measured cutting forces, and it is shown that the static deformation of the structure can be taken into account for accurate calculation of uncut chip thickness in the end milling process. A cutting force equation is developed with considering cutting edge roundness, i.e. tool wear, and a milling force model is constructed. Various parameters in the model are identified so that the simulated forces fit best with the measured forces. Edge force component, tool setting angle, specific cutting force resistance, etc. are identified or recognized as the model parameters, which contain rich information about the end milling process. End milling experiments are carried out at various stages of tool wear, and the results show that the proposed index for the tool wear, i.e. the identified edge force component divided by the specific cutting force resistance, has good correlation with the measured tool wear. It is expected that the end milling conditions such as the tool wear, the static stiffness of the structure, the tool setting angle and the specific cutting force resistance can be recognized intelligently without any data bases by the present method.
journal article
日本機械学会
2003-07
application/pdf
日本機械学會論文集 C編
683
69
1927
1932
http://hdl.handle.net/2237/9006
0387-5024
https://nagoya.repo.nii.ac.jp/record/7325/files/JsMecEngC-69-683-1927.pdf
jpn
http://ci.nii.ac.jp/naid/110002379081/
日本機械学会
本文データは学協会の許諾に基づきCiNiiから複製したものである。