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Abstract

Springback is still one of the most challenging issues in sheet metal forming, especially in the automotive industry, where hundreds of pressings made of different types of materials are joined together by various methods. In this study, springback evaluation was conducted on three types of steel that are commonly used in the automotive industry. Transformation induced plasticity (TRIP), micro-alloyed and deep-drawing steel sheets were used in compression bending, which is largely used in bending hollow tubes. The impact of die diameter and anisotropy on the springback was studied and evaluated. A numerical prediction of springback was conducted using Simufact Forming 2022 software. Based on the experimental results, it was found that steels with higher yield and tensile strength experience more springback than steels with lower strength properties. Additionally, the use of larger die diameters (30 mm and 25.4 mm) in compression bending results in higher springback compared to smaller ones (10 mm and 15 mm). The impact of anisotropy on the springback was mostly evident in pressings made of deep-drawing steel.

Details

1009240
Business indexing term
Title
Springback Analysis and Prediction of Automotive Steel Sheets Used in Compression Bending
Author
Spišák, Emil 1   VIAFID ORCID Logo  ; Janka Majerníková 1   VIAFID ORCID Logo  ; Mulidrán, Peter 1   VIAFID ORCID Logo  ; Hajduk, Július 1 ; Ruda, František 2 

 Institute of Technology and Materials Engineering, Faculty of Mechanical Engineering, Technical University of Košice, Mäsiarska 74, 040 01 Kosice, Slovakia; [email protected] (J.M.); [email protected] (P.M.); [email protected] (J.H.) 
 U. S. Steel Košice, s. r. o., Vstupný Areál U. S. Steel, 044 54 Kosice, Slovakia; [email protected] 
Publication title
Materials; Basel
Volume
18
Issue
4
First page
774
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
2025-02-10
Milestone dates
2025-01-10 (Received); 2025-02-06 (Accepted)
Publication history
 
 
   First posting date
10 Feb 2025
ProQuest document ID
3171126459
Document URL
https://www.proquest.com/scholarly-journals/springback-analysis-prediction-automotive-steel/docview/3171126459/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
2025-02-26
Database
ProQuest One Academic