A Study on Chatter Prediction in High-Speed End Milling Process by Fuzzy Neural Network.
Bibliographic Information
- Other Title
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- ファジィニューラルネットワークによる高速エンドミル加工時のびびり振動予測
- ファジィニューラル ネットワーク ニ ヨル コウソク エンドミル カコウジノビビリ シンドウ ヨソク
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Abstract
The purpose of this paper is to introduce a new approach for predicting chatter in high-speed end milling by using a fuzzy neural network. First, a milling experimental setup is built and a set of the valuable experimental data are acquired under different tool wear states and carefully selected cutting parameters. Second, the experimental system is simplified into a fuzzy neural network model which is trained in the experimental data. Third, some simulation results are obtained on the basis of the trained model. Finally, the calculated results are compared with the experimental ones in order to check the effectiveness of the method described.
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 66 (641), 332-338, 2000
The Japan Society of Mechanical Engineers
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Details 詳細情報について
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- CRID
- 1390001206328660224
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- NII Article ID
- 110002382920
- 10011200047
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- NII Book ID
- AN00187463
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- ISSN
- 18848354
- 03875024
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- NDL BIB ID
- 4971408
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- Text Lang
- ja
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- Data Source
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- JaLC
- NDL
- Crossref
- CiNii Articles
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- Abstract License Flag
- Disallowed