BP Neural Network Predicting Model for Aluminium Alloy Keyhole Plasma Arc Welding in Vertical Position

In this paper, based on MATLAB6.1 neural network toolbox, a BP neural network modal for vertical position PAW input-output is established.According to each value of input nodes,the output can be predicted by testing this network.When welding parameters of input nodes are given,the parameters of welding formation can be predicted.The experimental results made with the combination of each parameters show that the error between parameters of real welds and its predicting results is within 8 percent. The results of simulation experiments show that this way is practical.