Simultaneous effects of temperature, holding time and thickness on bending springback of DP1000 steel: experiments and statistical analysis

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Veröffentlicht in:Scientific Reports (Nature Publisher Group) vol. 15, no. 1 (2025), p. 37192-37210
1. Verfasser: Karalar, Mert
Weitere Verfasser: Bayramoglu, Melih
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Nature Publishing Group
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022 |a 2045-2322 
024 7 |a 10.1038/s41598-025-18308-z  |2 doi 
035 |a 3264793442 
045 2 |b d20250101  |b d20251231 
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100 1 |a Karalar, Mert  |u Department of Mechanical Engineering, University of Cukurova, 01330, Saricam-Adana, Türkiye (ROR: https://ror.org/05wxkj555) (GRID: grid.98622.37) (ISNI: 0000 0001 2271 3229) 
245 1 |a Simultaneous effects of temperature, holding time and thickness on bending springback of DP1000 steel: experiments and statistical analysis 
260 |b Nature Publishing Group  |c 2025 
513 |a Journal Article 
520 3 |a The world is facing a critical global warming problem that requires a severe reduction in carbon emissions. Hence, reducing vehicle weight is crucial to lowering fuel use. Consequently, high-strength dual-phase steels, which produce lighter parts, are increasingly utilized in various industries. However, higher strength causes higher v-bending springback, which increases material waste. Therefore, various studies have been executed recently to minimize this complication. In these studies, the factors affecting springback were examined individually, which cannot reveal precise results because each factor affects another. This research aims to reveal a more realistic springback analysis by simultaneously examining the factors. In Design Expert, temperature, holding time and thickness factors were analyzed. ANOVA and Regression Analyses were executed. Each factor’s influence was statistically compared for the first time. Based on experimental studies, an empirical formula was derived in which factors can vary simultaneously. The model’s correlation coefficient was 0.99999, which indicated a perfect correlation between factors and springback. The temperature has the most significant influence, with the highest F-value, followed by holding time and thickness. For the first time, the interaction effects of the factors are statistically proven. Springback decreased by 94.75% compared to its initial value, which is remarkably promising. 
653 |a Variance analysis 
653 |a Global warming 
653 |a Investigations 
653 |a Statistical analysis 
653 |a Temperature effects 
653 |a Metal forming 
653 |a Aluminum alloys 
653 |a Regression analysis 
653 |a Climate change 
653 |a High strength steel 
653 |a Literature reviews 
653 |a Energy consumption 
653 |a Correlation coefficient 
653 |a Environmental 
700 1 |a Bayramoglu, Melih  |u Department of Mechanical Engineering, University of Cukurova, 01330, Saricam-Adana, Türkiye (ROR: https://ror.org/05wxkj555) (GRID: grid.98622.37) (ISNI: 0000 0001 2271 3229) 
773 0 |t Scientific Reports (Nature Publisher Group)  |g vol. 15, no. 1 (2025), p. 37192-37210 
786 0 |d ProQuest  |t Science Database 
856 4 1 |3 Citation/Abstract  |u https://www.proquest.com/docview/3264793442/abstract/embedded/7BTGNMKEMPT1V9Z2?source=fedsrch 
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