Abstract

The forming of sheet metal requires an understanding of a wide range of technical knowledge, the manufacturing application criterion and the interaction of processing and the material's properties. One of the major causes of inconsistent parts is springback, which Hu, Marciniack and Duncan define as the elastic strain recovery in the material after the tooling is removed (2002). This paper delineates an experiment carried out by Vikram Viswanathan (Northwestern University), Brad Kinsey (University of New Hampshire) and Jian Cao (Northwestern University) titled "Experimental Implementation of Neural Network Springback Control for Sheet Metal Forming." This experiment used punch trajectory as the primary factor in the experiment and examined the resulting variations of material properties, thickness and friction coefficients as responses. Once this particular approach to springback control is illustrated, this paper will divulge on a few techniques used to control...