Surface Roughness Prediction Model Based on AE in Grinding

Based on the theory of roughness during grinding and the theory of fuzzy-neural network, a new intelligent prediction model is developed in this paper. The inputs for the model are the grinding parameters and the AE signals. Beijing Shenghua SAEU2S system was used to collect and analyze the signals...

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Bibliographic Details
Published inApplied Mechanics and Materials Vol. 701-702; no. Industrial Engineering, Computation and Information Technologies; pp. 150 - 153
Main Authors Yu, Wen Ze, Ding, Ning
Format Journal Article
LanguageEnglish
Published Zurich Trans Tech Publications Ltd 01.12.2014
Subjects
Acoustic emission
Artificial neural networks
Feasibility
Fuzzy logic
Mathematical models
Networks
Roughness
Surface roughness
AE
Fuzzy Neural Network
Surface Roughness
Grinding
Prediction
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Summary:Based on the theory of roughness during grinding and the theory of fuzzy-neural network, a new intelligent prediction model is developed in this paper. The inputs for the model are the grinding parameters and the AE signals. Beijing Shenghua SAEU2S system was used to collect and analyze the signals of acoustic emission. The experiment was conducted, and the results verify the feasibility of the proposed model.
Bibliography:Selected, peer reviewed papers from the 2014 2nd International Conference on Mechatronics and Information Technology (ICMIT 2014), October 18-19, 2014, Chongqing, China
ObjectType-Article-1
SourceType-Scholarly Journals-1
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content type line 23
ISBN:9783038353485
3038353485
ISSN:1660-9336
1662-7482
1662-7482
DOI:10.4028/www.scientific.net/AMM.701-702.150