Wrinkling detection in tube bending simulations

H. Orban*, G. Lin, S. J. Hu, M. Koç

*Corresponding author for this work

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

2 Citations (Scopus)

Abstract

Tube bending deforms straight tubes into curved ones. Excessive thinning in tube bending (typically at bend extrados) is not desirable since it may lead to tearing in bending or premature bursting in the subsequent hydroforming stage. To compensate for the thinning during tube bending a boosting force is typically applied to one tube end, which introduces a net compression in the tube section. The amount of boosting is limited by the tendency of tube material to wrinkle. In this paper a finite element model is developed to simulate rotary draw tube bending and the 2nd-order normal velocity difference among neighboring points is used for wrinkling detection. The evolution of the developed wrinkling Indicator is correlated with the initiation and growth of wrinkles in simulations. Two wrinkling modes, before the material enters the bending die and at the bending zone, are identified under different pad pressures and boosting conditions. The algorithm provides a basis for determining an optimal adaptive loading scheme to prevent wrinkling failure in tube bending.

Original languageEnglish
Title of host publicationTransactions of the North American Manufacturing Research Institution of SME 2007 - Papers Presented at NAMRC 35
Pages105-112
Number of pages8
Publication statusPublished - 2007
Externally publishedYes
Event35th North American Manufacturing Research Conference, NAMRC 35 - Ann Arbor, MI, United States
Duration: 22 May 200725 May 2007

Publication series

NameTransactions of the North American Manufacturing Research Institution of SME
Volume35
ISSN (Print)1047-3025

Conference

Conference35th North American Manufacturing Research Conference, NAMRC 35
Country/TerritoryUnited States
CityAnn Arbor, MI
Period22/05/0725/05/07

Keywords

  • 2-order normal velocity difference
  • Bending
  • Finite element simulation
  • Tube
  • Wrinkling detection

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