Slide-bending formation of metallic sheet using neural network

This paper describes slide-bending formation of metallic sheet by using a neural network. The formation of parts made of very thin metallic sheets has become increasingly important miniaturizing industrial products, including electrical and mechanical devices. One of the authors proposed a new method called a slide-bending formation method for the bending of the metallic sheet. In this method, the shape of a metallic sheet after forming can be decided depending on various parameters. However, it is difficult to select optimal parameters. In order to solve this problem, we propose to use a neural network to determine parameters. From the results of the experiment, it is shown that both the bending angle and the curvature radius of the metallic foil can be controlled by the proposed method.