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  [in Japanese] A Study of Chatter Prediction in End Milling Process : Fuzzy Neural Network Model with Inputs of Cutting conditions and Sound  [in Japanese]

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Author(s)

Abstract

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.

Journal

  • Transactions of the Japan Society of Mechanical Engineers. Series C.

    Transactions of the Japan Society of Mechanical Engineers. Series C. 69(683), 1921-1926, 2003-07-25

    The Japan Society of Mechanical Engineers

References:  7

Cited by:  1

Codes

  • NII Article ID (NAID)
    110002379080
  • NII NACSIS-CAT ID (NCID)
    AN00187463
  • Text Lang
    JPN
  • Article Type
    Journal Article
  • ISSN
    03875024
  • NDL Article ID
    6653754
  • NDL Source Classification
    ZN11(科学技術--機械工学・工業)
  • NDL Call No.
    Z16-1056
  • Data Source
    CJP  CJPref  NDL  NII-ELS 
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