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

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Gepubliceerd in:Materials vol. 18, no. 9 (2025), p. 1900-1925
Hoofdauteur: Wang, Tao
Andere auteurs: Li, Di, Xiao-Kun, Wang, Hong-Pai, Zhu, Jun-Jie, Liu, Jiang, Ning, Xiao-Zhi, Feng, Shao-Xun, Liu
Gepubliceerd in:
MDPI AG
Onderwerpen:
Mechanical properties
Software
Simulation
Tensile tests
Accuracy
Investigations
Titanium alloys
Dual phase steels
Temperature dependence
Sensitivity analysis
Temperature
Constitutive models
Response surface methodology
Aluminum
Heating
Algorithms
Anisotropy
High strength steel
High strength steels
Steel
Computer simulation
Process parameters
Springback
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Samenvatting: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.
ISSN:1996-1944
DOI:10.3390/ma18091900
Bron:Materials Science Database