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Journal Article

Combined methods for the prediction of dynamic instabilities in sheet metal spinning


Kantz,  H.
Max Planck Institute for the Physics of Complex Systems, Max Planck Society;

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Kleiner, M., Gobel, R., Kantz, H., Klimmek, C., & Homberg, W. (2002). Combined methods for the prediction of dynamic instabilities in sheet metal spinning. CIRP Annals-Manufacturing Technology, 51(1), 209-214. Retrieved from http://www.cirp.net/publications/year_by_year.html.

Cite as: http://hdl.handle.net/11858/00-001M-0000-002B-389D-9
A technological and mathematical understanding of the sheet metal spinning process allows to predict dynamic instabilities which lead to wrinkling and other defects in the workpiece depending on the axial feed of the roller tool, the design and the number of the forming passes as well as the angular velocity of the workpiece. The development and combined application of methods of statistical design of experiments, nonlinear time series analysis and finite element analysis yields insight into the dominant effects. The results will allow to predict wrinkling and to design and control the process as to avoid it. Preventing workpiece damage by wrinkling, this methods will help to significantly improve process efficiency.