Investigation of Blanking Clearance for IS277GI by Artificial Neural Network (ANN)

An unsuitable clearance value may lead to secondary crack formation in sheet metal forming, especially in sheet metal blanking. Cracks lead to rough edges, resulting in a loss of productivity in terms of surface finish quality and dimensional precision. In the present work, tests are conducted with the uni-punch tool as a cutting tool and IS277GI as material for processing, on the power press. Punch penetration in blanking is varied to find a depth at which crack begins in sheet metal. After punching, shear angle and angle of fracture and punch penetration from the available ranges are considered as input parameters. The optimum clearance value obtained by plotting angles versus per cent clearance is experimentally calculated. The input values are fed to the formulated Neural Network. For various unknown input parameters, this qualified neural network forecasts the clearance. The results of predictions are in line of experimental concepts.