Abstract:Spring back compensation is essential for accurate geometry of sheet metal components. In this paper the effect of process parameters namely sheet thickness, bend angle and tool travel rate on spring back in SS304 and C80 material sheets under V-bending is predicted by using finite element method and artificial neural network approaches. Total nine experiments were designed considering three process parameters, each with three levels, by using Taguchi`s L9 orthogonal array. The results obtained by ANN model ar… Show more
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