A Study of Chatter Prediction in End Milling Process (Fuzzy Neural Network Model with Inputs of Cutting Conditions and Sound)
Bibliographic Information
- Other Title
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- 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）
- コウソク エンドミル カコウジ ノ ビビリ シンドウ ハッセイ ヨソク ニ カンスル ケンキュウ セッサク ジョウケン ト セッサクオン オ ニュウリョク ト スル ファジィニューラル ネットワーク モデル
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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
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- TRANSACTIONS OF THE JAPAN SOCIETY OF MECHANICAL ENGINEERS Series C
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TRANSACTIONS OF THE JAPAN SOCIETY OF MECHANICAL ENGINEERS Series C 69 (683), 1921-1926, 2003
The Japan Society of Mechanical Engineers
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Details 詳細情報について
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- CRID
- 1390282681334500096
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- NII Article ID
- 110002379080
- 130004084587
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- NII Book ID
- AN00187463
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- ISSN
- 18848354
- 03875024
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- NDL BIB ID
- 6653754
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- Text Lang
- ja
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- Data Source
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- JaLC
- NDL
- Crossref
- CiNii Articles
- KAKEN
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- Abstract License Flag
- Disallowed