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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.

Details

1009240
Title
Study on FEM Simulation Algorithm of Local Warm Forming of Advanced High-Strength Steel
Author
Wang, Tao 1   VIAFID ORCID Logo  ; Li, Di 1 ; Xiao-Kun, Wang 1 ; Hong-Pai, Zhu 1 ; Jun-Jie, Liu 1 ; Jiang, Ning 1 ; Xiao-Zhi, Feng 1 ; Shao-Xun, Liu 2 

 School of Transportation and Vehicle Engineering, Shandong University of Technology, Zibo 255000, China; [email protected] (T.W.); [email protected] (X.-K.W.); [email protected] (H.-P.Z.); [email protected] (J.-J.L.); [email protected] (N.J.); [email protected] (X.-Z.F.) 
 Rongcheng Compaks New Energy Automobile Co., Ltd., Rongcheng 264300, China; [email protected] 
Publication title
Materials; Basel
Volume
18
Issue
9
First page
1900
Number of pages
26
Publication year
2025
Publication date
2025
Publisher
MDPI AG
Place of publication
Basel
Country of publication
Switzerland
Publication subject
e-ISSN
19961944
Source type
Scholarly Journal
Language of publication
English
Document type
Journal Article
Publication history
 
 
Online publication date
2025-04-22
Milestone dates
2025-03-13 (Received); 2025-04-19 (Accepted)
Publication history
 
 
   First posting date
22 Apr 2025
ProQuest document ID
3203203776
Document URL
https://www.proquest.com/scholarly-journals/study-on-fem-simulation-algorithm-local-warm/docview/3203203776/se-2?accountid=208611
Copyright
© 2025 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License.
Last updated
2025-11-20
Database
ProQuest One Academic