Prediction of incremental sheet forming process performance by using a neural network approach

Although the incremental sheet forming process results are widely investigated from the literature review, much more efforts are required to increase the industrial applicability of the process; first of all, the material failure for complex shapes need to be clarified. According to this aim, in this work, a preliminary analysis is carried out to detect the factors that deeply affect the process performance when a part having a changing transverse section has to be manufactured. Subsequently, a neural network approach is utilized to implement a "ready to use" procedure to predict failure in complex shapes.