4.7 Article

Improvement of the accuracy and the computational efficiency of the springback prediction model for the rotary-draw bending of rectangular H96 tube

期刊

出版社

PERGAMON-ELSEVIER SCIENCE LTD
DOI: 10.1016/j.ijmecsci.2012.11.012

关键词

Thin-walled rectangular H96 tube; Rotary-draw bending; Springback; Finite element simulation; Accuracy; Computational efficiency

资金

  1. National Natural Science Foundation of China [50975235]
  2. 111 Project [B08040]

向作者/读者索取更多资源

The finite element simulation is an effective way for the springback study of thin-walled rectangular H96 tube in the rotary-draw bending process. To improve the accuracy and the computational efficiency of the finite element model, the key modeling techniques, such as the introduction of loading boundary conditions for the clamp die and the pressure die, the reasonable modification of the flexible cores, etc., are resolved. Based on the resolved key problems, two finite element models of the whole-tube and the half-tube are established respectively for the springback perdition of rectangular H96 tube. Comparisons of springback perdition results between the experimental values and simulative ones based on two models show that, the half-tube model has greater advantage on the computational efficiency, while its accuracy on the springback angle and springback radius prediction is still in the acceptable range, so the half-tube model is recommended. A further improvement on the accuracy and computational efficiency of the half-tube model is studied. It is obtained that: (1) the improvement for the springback angle prediction can be 9.82% when the Bauschinger effect is considered. (2) The influence of material constitutive model on the springback prediction precision is greater than that caused by simplifying FE model or using different mass scaling factors. (3) In the precondition of meeting the accuracy requirement, a high computational efficiency can be achieved when the mass scaling factor 4800 and the element size 1 x 1 mm(2) are used. (c) 2012 Elsevier Ltd. All rights reserved.

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