Model of post welding shift compensation and prediction for butterfly LD module packaging

Post welding shift (PWS) is a kind of welding deformation caused by residual stress, which will induce the coupled fiber out of the original position. How to minimize and compensate the PWS is always a bottleneck for the automatic laser diode (LD) packaging. In accordance with the experimental results and the previous researches, this paper analyzes the influence of different welding parameters. There are four parameters that can be controlled during the whole welding process, namely the pre-welding shift, position of welding spots, laser power, and position of the ferrule. Using these adjustable parameters as the input, a neural network based PWS prediction model is constructed. By neural network training, the predicted PWS shows good results in accordance with the experiments. The research achievement of this paper will help to minimize and compensate the PWS and improve the efficiency of automatic laser diode packaging.