Modeling polyvinyl chloride Plasma Modification by Neural Networks
Neural networks model were constructed to analyze the connection between dielectric barrier discharge parameters and surface properties of material.The experiment data were generated from polyvinyl chloride plasma modification by using uniform design.Discharge voltage,discharge gas gap and treatment time were as neural network input layer parameters.The measured values of contact angle were as the output layer parameters.A nonlinear mathematical model of the surface modification for polyvinyl chloride was developed based upon the neural networks.The optimum model parameters were obtained by the simulation evaluation and error analysis.The results of the optimal model show that the predicted value is very close to the actual test value.The prediction model obtained here are useful for discharge plasma surface modification analysis.
Changquan Wang
Department of Mechanical and Electrical Engineering,Beijing Vocational College of Labour and Social Security,Beijing 100029,China
国际会议
上海
英文
1-5
2017-12-28（万方平台首次上网日期，不代表论文的发表时间）