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Updated: Oct 20, 2025

Knowledge Based Cloud FE Simulation of Sheet Metal Forming Processes
Published on: December 13, 2016
A Generalized Stress State and Temperature Dependent Damage Indicator Framework for Ductile Failure Prediction in
Alan A Camberg1, Tobias Erhart2, Thomas Tröster1
1Chair of Automotive Lightweight Design, Faculty of Mechanical Engineering, Paderborn University, Mersinweg 7, 33100 Paderborn, Germany.
A new temperature-dependent damage model, Generalized Incremental Stress State Dependent Damage Model (GISSMO), accurately predicts sheet metal forming limits under varying temperatures. This advanced model enhances prediction accuracy by up to 20% compared to traditional methods.
Area of Science:
- Materials Science
- Mechanical Engineering
- Manufacturing Processes
Background:
- Heat-assisted forming is crucial for automotive body-in-white applications.
- Non-isothermal conditions complicate the assessment of forming limits using traditional methods like Forming Limit Curves (FLCs).
Purpose of the Study:
- To develop and investigate a temperature-dependent extension of the Generalized Incremental Stress State Dependent Damage Model (GISSMO).
- To predict forming failures in sheet metal under non-isothermal conditions by integrating multiple isothermal FLCs into a temperature-dependent forming limit surface.
Main Methods:
- A temperature-extended GISSMO fracture indicator framework was developed.
- The model was tested using coupled thermo-mechanical Finite Element Analysis (FEA).
- Simulations focused on the warm forming of an AA5182-O sheet metal cross-die cup.
Main Results:
- The temperature-extended GISSMO model accurately predicts forming limits under non-isothermal conditions.
- The model showed improved prediction accuracy, achieving up to 20% greater drawing depths than established methods.
- Failure risk and location were visualized directly on the part geometry via contour plots.
Conclusions:
- The developed GISSMO model offers a robust approach for evaluating forming limits in heat-assisted processes.
- It enables fuller exploitation of sheet metal forming potential and lightweight design.
- The model accurately predicts material behavior beyond necking, up to ductile fracture, even at low triaxialities.
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