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A bottleneck in the real-time simulation of belt grinding processes is the calculation of the force distribution between the workpiece and the grinding wheel, which can be simplified by the Signorini contact problem. The Finite Element Method (FEM) is the conventional way of solving such a contact problem, but too computationally expensive to meet the real-time requirement. This paper demonstrates a new approach to model the Signorini contact problem based on learning. This new model approximates the FEM model so that it is not necessary to execute optimization for each contact in run time; hence the calculation time is dramatically reduced.

An Intelligent Model for the Signorini Contact Problem in Belt Grinding Processes