高速エンドミル加工時のびびり振動発生予測に関する研究 : 切削条件と切削音を入力とするファジィニューラルネットワークモデル(機械要素,潤滑,工作,生産管理など)

概要

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This paper is concerned with study for chatter prediction in high-speed end milling operations. Chatter vibration occurring in mechanical machining gives rise to poor surface finish and dimensional accuracy in machined part, reduction of tool life, and even damages machine tools. Various kinds of researches concerning its prediction and avoidance have been carried out over the last several decades. The purpose of this study is to develop an expert system for predicting chatter vibrations in high-speed end milling using wavelet transform and a fuzzy neural network model. The proposed method is applied to a jig griding machine, and the results demonstrate the effectiveness of the chatter prediction procedure.
一般社団法人日本機械学会の論文
2003-07-25