Optimizing laser welding parameters of powder metallurgical material based on artificial neural network

The model for optimizing laser welding parameters of powder metallurgical material on back propagation(BP) artificial neural network was presented for laser welding application of thin-wall diamond core driller.The effects of laser welding parameters on porosity and welding strength were investigated with the model on the basis of one-side laser welding experiment by LSM240 auto-welding system.Laser welding parameters of thin-wall diamond core driller were optimized with the model,high quality laser welding seam with porosity defect are obtained.The results showed that the mathematic relation of the porosity with laser power and welding speed was power function and the mathematic relation of the welding strength with laser power and welding speed was Gaussian function.