Research on optimizing WEDM process model and processing parameters

In view of the choice of electrical parameters during high-speed wire cut electrical discharge machining (WEDM),the electrical processing parameters and process index parameters were taken as the input and output of neural network.Neural network was used to establish WEDM process model and the weights and thresholds of neural network model were optimized by genetic algorithm,which speeded up the network training velocity and kept the network from sinking into a local minimum.In combination with the trained process model and taking the error transfer function of neural network as fitness function,the WEDM processing parameters were multi-objectively optimized with genetic algorithm,so as to optimize and select processing parameters.