Optimization of springback parameters of an aluminum 1050 alloy by V-bending

Abstract Springback, one of the fundamental properties of parts formed by V bending, is the dimensional deviation caused by elastic recovery. Numerical estimation and compensation of springback is essential because it affects the workpiece’s dimensional accuracy and geometry and will cause serious errors, especially during the assembly process. This study investigated the effects of process parameters such as sheet thickness and die angle on springback behavior on 1,050 aluminum experimentally and numerically. Experiments were planned according to Taguchi’s L9 orthogonal array. Sheet thickness (1 mm, 1.5 mm, and 2.5 mm) and die angle (90, 135 and 150°), were selected as forming parameters. Springback was calculated after the tests. Optimization of the parameters was evaluated using the signal/noise ratio approach. The effectiveness of parameters on results was determined by analysis of variance (ANOVA). It has been observed that the springback angle decreases with increasing sheet thickness, but springback angle decreases with increasing die angles. It has been seen that the experimental and numerical study results confirm each other. The variance analysis determined that the die angle was the most dominant springback parameter (90.9 %). Second is the sheet thickness (5.79 %).

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Publication Details

Journal
Materials Testing
Published
2024-08-13
DOI
https://doi.org/10.1515/mt-2024-0146
Citations
1
Primary Topic
Metal Forming Simulation Techniques
Type
article
Field-Weighted Citation Impact
0.21
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article

Optimization of springback parameters of an aluminum 1050 alloy by V-bending

Seçil Ekşi, Furkan Hasan Mesci
1 citations
Materials Testing
Metal Forming Simulation Techniques
0.21
article

Optimization of springback parameters of an aluminum 1050 alloy by V-bending

Seçil Ekşi, Furkan Hasan Mesci
article en
1 citations

Abstract

Abstract Springback, one of the fundamental properties of parts formed by V bending, is the dimensional deviation caused by elastic recovery. Numerical estimation and compensation of springback is essential because it affects the workpiece’s dimensional accuracy and geometry and will cause serious errors, especially during the assembly process. This study investigated the effects of process parameters such as sheet thickness and die angle on springback behavior on 1,050 aluminum experimentally and numerically. Experiments were planned according to Taguchi’s L9 orthogonal array. Sheet thickness (1 mm, 1.5 mm, and 2.5 mm) and die angle (90, 135 and 150°), were selected as forming parameters. Springback was calculated after the tests. Optimization of the parameters was evaluated using the signal/noise ratio approach. The effectiveness of parameters on results was determined by analysis of variance (ANOVA). It has been observed that the springback angle decreases with increasing sheet thickness, but springback angle decreases with increasing die angles. It has been seen that the experimental and numerical study results confirm each other. The variance analysis determined that the die angle was the most dominant springback parameter (90.9 %). Second is the sheet thickness (5.79 %).

Materials TestingVol. 66(10)
Sakarya University (TR), Institute of Natural Science (KP)
Openalex Percentile: Top 53%
Metal Forming Simulation Techniques
0.21
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