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Abstract

This paper investigates the combined effects of parameters such as die surface finish, die stoning direction, contact pressure and draw speed on the resulting friction coefficient. The study shows the correlation between the artificial neural network (ANN) and the design of experiments (DOE). The ANN and the DOE have been implemented for minimizing the friction coefficient and for investigating the effect of the parameters in the straight pulling friction test effectively. The experiments were run in random order with at least three replications. It was found that directional stoning orthogonal to the pulling direction lowers the friction more than directional stoning parallel to the pulling direction using die material FCD55 and sheet material SPCEN.

Keywords

friction coefficient stoning directions die surface roughness artificial neural network

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Friction characteristics for surface finish and the stoning direction of stamping dies

Abstract

Abstract

Keywords

References