A study on the analytical modeling for warm hydro-mechanical deep drawing of lightweight materials

Ho Choi, Muammer Koç, Jun Ni

Research output: Contribution to journalArticle

31 Citations (Scopus)

Abstract

The warm hydroforming process has become an emerging technology in recent years to reduce the weight of automotive body structure and minimize the number of process steps. In this study, analytical models were developed to investigate the effects of process conditions such as temperature, hydraulic pressure, blank holder force and forming speed. The analytical model under hydro-mechanical deep drawing (HMD) condition was developed based on experimental results in the literatures. FE models were also developed to validate the analytic models. Then, the analytic model was validated through comparisons with both existing experimental results and FE results. The analytical model provided rapid and reasonably accurate results for the design of warm hydroforming process. Based on this analytic model, several parametric studies were performed regarding to the temperature, hydraulic pressure, blank holder force, and punch speed conditions. It was demonstrated that the process windows for a successful part forming could be rapidly predicted with a reasonable accuracy by the analytic model compared to lengthy and costly thermo-mechanical FEA or experimental trial and error.

Original languageEnglish
Pages (from-to)1752-1766
Number of pages15
JournalInternational Journal of Machine Tools and Manufacture
Volume47
Issue number11
DOIs
Publication statusPublished - Sep 2007
Externally publishedYes

Fingerprint

Deep drawing
Analytical models
Hydraulics
Finite element method
Temperature

Keywords

  • Analytical model
  • Hydro-mechanical deep drawing
  • Lightweight materials
  • Process windows
  • Warm hydroforming

ASJC Scopus subject areas

  • Industrial and Manufacturing Engineering
  • Mechanical Engineering

Cite this

A study on the analytical modeling for warm hydro-mechanical deep drawing of lightweight materials. / Choi, Ho; Koç, Muammer; Ni, Jun.

In: International Journal of Machine Tools and Manufacture, Vol. 47, No. 11, 09.2007, p. 1752-1766.

Research output: Contribution to journalArticle

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