Study on FEM Simulation Algorithm of Local Warm Forming of Advanced High-Strength Steel

Advanced high-strength steels (AHSSs) are prone to process defects such as fracture and springback during forming operations. Local warm forming technology represents an innovative forming process that applies targeted heating to specific stamping features of high-strength steel blanks. This study focuses on dual-phase steel DP780 as the research material, obtaining mechanical property parameters at various temperatures through uniaxial tensile tests. Based on investigations into temperature-dependent constitutive models and heat-transfer analysis methods, Abaqus VUMAT and UMAT subroutines were developed using Fortran language to establish a local warm forming simulation algorithm that incorporates predictions of fracture failure and springback. A U-shaped component was designed for local warm forming bend-stretch tests, with experimental data compared against results from the developed algorithm. This validation confirmed the algorithm's capability to accurately predict local warm forming behaviors of U-shaped components. Leveraging the validated algorithm, sensitivity analyses were conducted to examine the influence of local warm forming process parameters on springback, with the response surface methodology employed to quantitatively assess the effects of heating temperature and localized heating zones on springback characteristics.

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Publication Details

Journal
Materials
Published
2025-04-22
DOI
https://doi.org/10.3390/ma18091900
Citations
1
Primary Topic
Metal Forming Simulation Techniques
Type
article
Field-Weighted Citation Impact
0.71
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article

Study on FEM Simulation Algorithm of Local Warm Forming of Advanced High-Strength Steel

Hongfei Zhu, Xin Feng, Junjie Liu, Shijie Liu et al.
1 citations
Materials
Metal Forming Simulation Techniques
0.71
article

Study on FEM Simulation Algorithm of Local Warm Forming of Advanced High-Strength Steel

Hongfei Zhu, Xin Feng, Junjie Liu, Shijie Liu, Di Li, Tao Wang, Xiaokun Wang, Ning Jiang
article en
1 citations

Abstract

Advanced high-strength steels (AHSSs) are prone to process defects such as fracture and springback during forming operations. Local warm forming technology represents an innovative forming process that applies targeted heating to specific stamping features of high-strength steel blanks. This study focuses on dual-phase steel DP780 as the research material, obtaining mechanical property parameters at various temperatures through uniaxial tensile tests. Based on investigations into temperature-dependent constitutive models and heat-transfer analysis methods, Abaqus VUMAT and UMAT subroutines were developed using Fortran language to establish a local warm forming simulation algorithm that incorporates predictions of fracture failure and springback. A U-shaped component was designed for local warm forming bend-stretch tests, with experimental data compared against results from the developed algorithm. This validation confirmed the algorithm's capability to accurately predict local warm forming behaviors of U-shaped components. Leveraging the validated algorithm, sensitivity analyses were conducted to examine the influence of local warm forming process parameters on springback, with the response surface methodology employed to quantitatively assess the effects of heating temperature and localized heating zones on springback characteristics.

MaterialsVol. 18(9)
Shandong University of Technology (CN), Rongcheng City People's Hospital (CN)
Openalex Percentile: Top 34%
Metal Forming Simulation Techniques
0.71
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Study on FEM Simulation Algorithm of Local Warm Forming of Advanced High-Strength Steel — Hongfei Zhu, Xin Feng, et al. · Materials (2025) | TGRS Research Map | TGRS