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

  • Furkan Hasan Mesci

    Furkan Hasan Mesci was born in 1996 in Istanbul. He completed his primary, secondary and high school education in Istanbul. He graduated from Doğuş University mechanical engineering department in 2019. He worked as a process design engineer at Altınay Robot Technologies between February 2020 and September 2023. In the same year, he started his master’s degree in the Department of Mechanical Design and Manufacturing at Sakarya University, Department of Mechanical Engineering. He currently works as a method engineer at Parsan Machine.

    und Seçil Eksi

    Associate Prof. Dr. Seçil Eksi was born in 1982 in İstanbul. She works in the Department of Mechanical Engineering at Engineering Faculty, Sakarya University, Sakarya, Turkey. She received a B.Sc. and M.Sc. degree in Mechanical Engineering from Sakarya University, Sakarya, Turkey, in 2004 and 2006, respectively, and a PhD in Mechanical Engineering from Sakarya University, Sakarya, Turkey, in 2014. Her research interests include materials, mechanical behavior of material, composite materials, manufacturing, finite element analyses.

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Veröffentlicht/Copyright: 14. August 2024
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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 %).


Corresponding author: Seçil Eksi, Department of Mechanical Engineering, Sakarya University, Sakarya, Türkiye, E-mail:

About the authors

Furkan Hasan Mesci

Furkan Hasan Mesci was born in 1996 in Istanbul. He completed his primary, secondary and high school education in Istanbul. He graduated from Doğuş University mechanical engineering department in 2019. He worked as a process design engineer at Altınay Robot Technologies between February 2020 and September 2023. In the same year, he started his master’s degree in the Department of Mechanical Design and Manufacturing at Sakarya University, Department of Mechanical Engineering. He currently works as a method engineer at Parsan Machine.

Seçil Eksi

Associate Prof. Dr. Seçil Eksi was born in 1982 in İstanbul. She works in the Department of Mechanical Engineering at Engineering Faculty, Sakarya University, Sakarya, Turkey. She received a B.Sc. and M.Sc. degree in Mechanical Engineering from Sakarya University, Sakarya, Turkey, in 2004 and 2006, respectively, and a PhD in Mechanical Engineering from Sakarya University, Sakarya, Turkey, in 2014. Her research interests include materials, mechanical behavior of material, composite materials, manufacturing, finite element analyses.

  1. Research ethics: Not applicable.

  2. Author contributions: The authors have accepted responsibility for the entire content of this manuscript and approved its submission.

  3. Competing interests: The authors state no conflict of interest.

  4. Research funding: None declared.

  5. Data availability: The raw data can be obtained on request from the corresponding author.

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Published Online: 2024-08-14
Published in Print: 2024-10-28

© 2024 Walter de Gruyter GmbH, Berlin/Boston

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