Research on Adaptive Repair Technology of 3D Printing Based on Convolutional Neural Network

As a strategic emerging industry, 3D printing technology will promote the third industrial revolution. Based on convolution neural network technology, an adaptive model of 3D printing is proposed in this paper. By using the latest data and environmental parameter variables obtained in the printing process, and comparing with the layer parameter variable data corresponding to STL 3D model, the corresponding measures are taken to continuously modify the printing strategy in printing. This strategy can solve the problem of 3D printing mass customization products, and has a good effect. The application prospect of this technology is discussed.