Wang Min

TL;DR: In this article, a laser metal additive deposition fusion state real-time prediction method and system is described, which comprises the following steps: (1) building a realtime prediction initial model comprising a backGAN network used for converting a process parameter data set into image data, and a plurality of paths of parallel convolutional neuralnetworks connected with the back-GAN network and used for extracting feature data in the image data.