Akademik Veri Yönetim Sistemi
Scientific Reports, cilt.15, sa.1, 2025 (SCI-Expanded, Scopus)
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.