Paper Title:
New Approach for Process Planning and Optimization in Sheet Metal Spinning
  Abstract

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.

  Info
Periodical
Main Theme
Edited by
M. Geiger, J. Duflou, H.J.J. Kals, B. Shirvani and U.P. Singh
Pages
493-500
DOI
10.4028/www.scientific.net/AMR.6-8.493
Citation
R. Göbel, M. Kleiner, N. Henkenjohann, "New Approach for Process Planning and Optimization in Sheet Metal Spinning", Advanced Materials Research, Vols. 6-8, pp. 493-500, 2005
Online since
May 2005
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Price
$32.00
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