Study on the Model of Surface Toughness Forecasting in Powder-Mixed Pulse Electrochemical Polishing Based on Neural Network

Xue Song Zhao; Min Fang

doi:10.4028/www.scientific.net/AMM.33.254

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HomeApplied Mechanics and MaterialsApplied Mechanics and Materials Vol. 33Study on the Model of Surface Toughness...

Study on the Model of Surface Toughness Forecasting in Powder-Mixed Pulse Electrochemical Polishing Based on Neural Network

Abstract:

In view of the difficulty in the selection of technological parameter in power-mixed pulse electrochemical polishing, a scheme based on neural network for the selection of technological parameter was put forward. The model of Surface toughness Forecasting was established. After being compared with experiment data, it was found that the experiment results and expected results share much similarity. It indicates that the system is able to predict the roughness of surface accurately under a given condition. Therefore, it can cast some light to practical power-mixed pulse lectrochemical polishing.

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Periodical:

Applied Mechanics and Materials (Volume 33)

Pages:

254-258

DOI:

https://doi.org/10.4028/www.scientific.net/AMM.33.254

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Online since:

October 2010

Authors:

Xue Song Zhao, Min Fang

Keywords:

BP Model, Neural Network (NN), Pulse Electrochemical Polishing, Surface Toughness

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