New Approach for Process Planning and Optimization in Sheet Metal Spinning
Due to the high complexity and the large number of possible geometries to be formed, a systematic design of the sheet metal spinning process is, up to now, difficult and time consuming. Sustainable models of the spinning process do not exist so far. Due to this, a new approach for the systematic design and optimization of the spinning process has been developed. In a first step of the planning sequence, a prediction of initial parameter settings is given by a case-based-reasoning approach. A first adaptation of the pre-selected parameters is then realized on a fuzzy-based model. In the next step, a model based optimization using statistical design of experiments is performed. For this, a new statistical approach has been developed being optimized regarding the requirements of the spinning process. In this paper, the methods used and the implementation of the approach in a process planning software are described. The approach is verified by the example of setting up a process to manufacture a cylindrical model workpiece.
M. Geiger, J. Duflou, H.J.J. Kals, B. Shirvani and U.P. Singh
R. Göbel et al., "New Approach for Process Planning and Optimization in Sheet Metal Spinning", Advanced Materials Research, Vols. 6-8, pp. 493-500, 2005