Paper Title:
Die-Pressing Parameters Optimization Based on FEA
  Abstract

A method for combining the FEA softwares, I-DEAS and MSC.Marc, with the iSIGHT design platform is presented to optimize die –pressing (DP) process. In the optimization design, two kinds of optimization algorithms, genetic algorithm (GA) and sequential quadratic programming (SQP), are employed. The result reveals that the residual stress is minimum under conditions that die rake angel equals to 48.50, dieing depth1.9, and friction factor 0.065. The above results give preference to design dieing form tools and process parameters.

  Info
Periodical
Advanced Materials Research (Volumes 97-101)
Edited by
Zhengyi Jiang and Chunliang Zhang
Pages
2576-2579
DOI
10.4028/www.scientific.net/AMR.97-101.2576
Citation
H. R. Zhao, Q. Li, S. W. Wang, "Die-Pressing Parameters Optimization Based on FEA ", Advanced Materials Research, Vols. 97-101, pp. 2576-2579, 2010
Online since
March 2010
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Price
$32.00
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