Surface Roughness Prediction Model Based on AE in Grinding


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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.



Edited by:

Prasad Yarlagadda




N. Ding and W. Z. Yu, "Surface Roughness Prediction Model Based on AE in Grinding", Applied Mechanics and Materials, Vols. 701-702, pp. 150-153, 2015

Online since:

December 2014





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