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Optimization of Predicting Spring-Back When V-Bending for SS400 Steel Plate

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Proceedings of the 2nd Annual International Conference on Material, Machines and Methods for Sustainable Development (MMMS2020) (MMMS 2020)

Part of the book series: Lecture Notes in Mechanical Engineering ((LNME))

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Abstract

In this paper, the Taguchi method and regression analysis used to evaluate the influence of technological parameters: punch radius, temperature and punch stroke to the spring-back angle after V-bending for SS400 steel plate output. The experiments were designing with a mixed orthogonal array and conducted using the L9 (3 × 3) on the bending and heating testing machines modern system. Analysis of variance (ANOVA) was used to determine the effects of input parameters on the output parameters. The analysis results show that the temperature was the biggest factor affecting the springback angle after forming. Nonlinear regression analysis used a quadratic polynomial function to predict experimental results. The predicted values according to construction and experimental mathematical models were vere close to each other, this shows that the built mathematical model has high reliability.

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Authors and Affiliations

  1. Hanoi University of Science and Technology, Ha Noi, Viet Nam

    Vuong Gia Hai, Nguyen Thi Hong Minh, Hoang Van Quy & Nguyen Duc Toan

  2. Hai Phong University, Hai Phong, Viet Nam

    Vuong Gia Hai & Hoang Van Quy

Authors
  1. Vuong Gia Hai
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  2. Nguyen Thi Hong Minh
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  3. Hoang Van Quy
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  4. Nguyen Duc Toan
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Corresponding author

Correspondence to Nguyen Duc Toan .

Editor information

Editors and Affiliations

  1. Vietnam Association for Science Editing, Hanoi University of Science and Technology, Hanoi, Vietnam

    Banh Tien Long

  2. Department of Mechanical Engineering, Korea Maritime and Ocean University, Busan, Korea (Republic of)

    Yun-Hae Kim

  3. School of Mechanical Engineering, Nagaoka University of Technology, Nagaoka, Japan

    Kozo Ishizaki

  4. Hanoi University of Science and Technology, Hanoi, Vietnam

    Nguyen Duc Toan

  5. Vorovitch Research Institute of Mechanics and Applied Mathematics, Southern Federal University, Rostov-on-Don, Russia

    Ivan A. Parinov

  6. Faculty of Mechanical Engineering, Thai Nguyen University of Technology, Thai Nguyen, Vietnam

    Ngoc Pi Vu

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Hai, V.G., Minh, N.T.H., Van Quy, H., Toan, N.D. (2021). Optimization of Predicting Spring-Back When V-Bending for SS400 Steel Plate. In: Long, B.T., Kim, YH., Ishizaki, K., Toan, N.D., Parinov, I.A., Vu, N.P. (eds) Proceedings of the 2nd Annual International Conference on Material, Machines and Methods for Sustainable Development (MMMS2020). MMMS 2020. Lecture Notes in Mechanical Engineering. Springer, Cham. https://doi.org/10.1007/978-3-030-69610-8_16

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  • DOI: https://doi.org/10.1007/978-3-030-69610-8_16

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-030-69609-2

  • Online ISBN: 978-3-030-69610-8

  • eBook Packages: EngineeringEngineering (R0)

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