scholarly journals Warm Forming Simulation of a ZEK100 Magnesium Door Panel

2019 ◽  
Vol 651 ◽  
pp. 012035
Author(s):  
Kaab Omer ◽  
Clifford Butcher ◽  
Michael Worswick ◽  
Tim Skszek
Keyword(s):  
Warm Forming ◽  
Forming Simulation ◽  
Door Panel

Warm forming simulation of Al–Mg sheet

2009 ◽  
Vol 209 (15-16) ◽  
pp. 5636-5645 ◽  
Author(s):  
S. Kurukuri ◽  
A.H. van den Boogaard ◽  
A. Miroux ◽  
B. Holmedal
Keyword(s):  
Warm Forming ◽  
Forming Simulation

Warm Forming Simulation of Dual-Phase Steel Tailor-Welded Blanks Based on Thermo-Mechanical Coupled Method

2011 ◽  
Vol 291-294 ◽  
pp. 494-498 ◽  
Author(s):  
Yi Ding ◽  
Xiang Jun Liu ◽  
Yu Qin Guo ◽  
Wei Chen
Keyword(s):  
Deep Drawing ◽  
Dual Phase Steel ◽  
Elevated Temperatures ◽  
Element Model ◽  
Warm Forming ◽  
Dual Phase ◽  
Forming Simulation ◽  
Tailor Welded Blanks ◽  
Forming Temperature ◽  
Abaqus Software

A thermo-mechanical coupled finite element model for warm forming of dual-phase steel (DP) laser tailor-welded blanks (TWBs) was established based on ABAQUS software. The isothermal deep drawing of rectangular cups at elevated temperatures and the non-isothermal deep drawing at the temperature of 400°C were simulated. The distributions of temperature and differences between the isothermal and non-isothermal conditions were discussed. The results show that the temperature has great effect on the warm forming of DP-TWBs, and it achieves the best formability at the forming temperature of 400°C, and the non-isothermal deep drawing can further improve the warm formability.

scholarly journals A dislocation based material model for warm forming simulation

2008 ◽  
Vol 1 (3) ◽  
pp. 135-141 ◽  
Author(s):  
Bekim Berisha ◽  
Pavel Hora ◽  
Arne Wahlen ◽  
Longchang Tong
Keyword(s):  
Material Model ◽  
Warm Forming ◽  
Forming Simulation

Collaborative Agent Based Optimization of Draw Die Design

2008 ◽  
Author(s):  
Y. Ding ◽  
T. J. Nye
Keyword(s):  
Optimization Technique ◽  
Computational Effort ◽  
Simulation Software ◽  
Optimization Techniques ◽  
Die Design ◽  
Agent Based ◽  
Forming Simulation ◽  
Door Panel ◽  
Collaborative Agent ◽  
Single Technique

In this paper we consider the problem of automatically determining optimal drawbead sizes and blankholder forces when designing draw dies for stamped parts. A network of software agents, each implementing a different numerical optimization technique, was used in combination with metal forming simulation software to optimize process variables. Three test cases were used of varying complexity from a rectangular cup to the NUMISHEET’99 automobile front door panel simulation benchmark. It was found that the performance of each agent (and optimization technique) depended strongly on the complexity of the problem. More interestingly, for a given amount of computational effort, a network of collaborating agents using different optimization techniques always outperformed agents using a single technique in terms of both the best solution found and in the variance of the collection of best solutions.

Numerical investigation on the blast resistance of a door panel

2020 ◽  
Author(s):  
T. Thimmesh ◽  
P.A. Shirbhate ◽  
J. Mandal ◽  
I.S. Sandhu ◽  
M.D. Goel
Keyword(s):  
Numerical Investigation ◽  
Blast Resistance ◽  
Door Panel

Prediction of a Billet Shape for Axisymmetric Warm Forming Using Variational Analysis

2004 ◽  
Vol 274-276 ◽  
pp. 733-738 ◽  
Author(s):  
Ting Fai Kong ◽  
Luen Chow Chan ◽  
Tai Chiu Lee
Keyword(s):  
Variational Analysis ◽  
Warm Forming ◽  
Billet Shape
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