论文部分内容阅读
A model is developed for predicting the correlation between processing paramaters and the technical target of double glowby applying artificial neural network (ANN). The input parameters of the neural network (NN) are source voltage, workpiecevoltage, working pressure and distance between source electrode and workpiece. The output of the NN model is three importanttechnical targets, namely the gross element content, the thickness of Surface alloying layer and the absorption rate (the ratioof the mass loss of source materials to the increasing mass of workpiece) in the processing of double glow plasma surface
A model is developed for predicting the correlation between processing paramaters and the technical target of double glow by applying artificial neural network (ANN). The input parameters of the neural network (NN) are source voltage, work volume, working pressure and distance between source electrode and the output of the NN model is three important technical content, the thickness of Surface alloying layer and the absorption rate (the ratio of the mass loss of source materials to the increasing mass of workpiece) in the processing of double glow plasma surface