Issue |
MATEC Web Conf.
Volume 408, 2025
44th Conference of the International Deep Drawing Research Group (IDDRG 2025)
|
|
---|---|---|
Article Number | 02017 | |
Number of page(s) | 2 | |
Section | Technical Notes | |
DOI | https://doi.org/10.1051/matecconf/202540802017 | |
Published online | 07 May 2025 |
An Engineering Approximation on the Transformation of Plastic Work into Heat at Various Strain Rates and Stress States
1
Swiss Federal Institute of Technology (ETH),
Zurich, Switzerland
2
Inspire AG,
Zurich, Switzerland
3
Univ. Bretagne Sud, UMR CNRS 6027, IRDL,
F-56100
Lorient, France
* Corresponding author: xueyang.li@inspire.ch
Accurate estimation of plastic work conversion into heat is crucial for analyzing metals under dynamic deformation. This study investigates DP800 sheet metal specimens across nine strain rates (0.001/s to 150/s) using notched tension (NT) and shear (SH) specimens to explore stress-state effects. Surface strain fields are monitored via digital image correlation (DIC) using a high-speed optical camera, while temperature rise due to plastic dissipation is measured using a high-speed infrared camera. A temperature rise of 170K is observed at 150/s, with minimal rise at 0.001/s. A Hill′48 yield surface combined with a modified Johnson-Cook hardening law accurately predicts force-displacement and strain histories. We compare two methods of treating the conversion of the plastic work into heat: (1) coupled thermo-mechanical simulations, which are accurate but computationally expensive, and (2) treating temperature as an internal state variable, neglecting heat transfer. We then propose a transition function incorporating both strain rate and stress state dependencies, enabling the internal variable method to achieve comparable accuracy to coupled thermo-mechanical simulations with a marginal increase in computational cost over pure mechanical analysis.
Key words: Thermo-mechanical analysis / Stress state dependency / Adiabatic heating / Dynamic behavior of materials
© The Authors, published by EDP Sciences, 2025
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