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Vol. 161, Issue 12, December 2013, pp. 421-428

 

Bullet

 

Surface Quality Prediction and Processing Parameters Determination on Atmospheric Pressure Plasma Arc Cleaning
 
Xiaojuan DONG, Jianbing MENG, Xiuting WEI, Zhanmin YIN

School of Mechanical and Engineering, Shandong University of Technology, Zibo, 255049, China
Tel.: 0533-2786909, fax: 0533-2786910
E-mail: jianbingmeng@sdut.edu.cn

 

Received: 16 September 2013   /Accepted: 22 November 2013   /Published: 30 December 2013

Digital Sensors and Sensor Sysstems

 

Abstract: The theory of Least Squares Support Vector Machines was applied to metal surfaces cleaning by atmospheric pressure plasma arc. An intelligent predictive model of the non-linear relationship between cleaning quality and process parameters was established with the k-fold cross training of sample data. An orthogonal experiment was conducted to assess the effect of processing parameters on surface quality. The experimental results and predicted values show that the atmospheric pressure plasma arc (APPA) cleaning is effective in reducing considerably the amount of lubricant. Furthermore, it is feasible to apply LS-SVM in forecasting the cleaning quality and determining processing parameters, and the mean absolute percent error eMAPE between predictive value and experimental value of water contact angle is 6.09 %. Otherwise, the eMAPE of working current is 4.46 %. Other parameters can also be selected by using this method, and the maximum of eMAPE is 4.458 %.

 

Keywords: Atmospheric pressure, Plasma arc cleaning, Surface quality, Water contact angle.

 

 

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