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Prediction and Compensation Algorithm of Variable Curved Surface in Multi-point Forming

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Big Data Analytics for Cyber-Physical System in Smart City (BDCPS 2020)

Part of the book series: Advances in Intelligent Systems and Computing ((AISC,volume 1303))

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Abstract

Based on the power hardening model, using the relationship between bending moment and curvature and the formula of springback ratio, the curvature calculation formula after springback compensation of single curvature surface stamping is derived. Based on this, the springback compensation calculation method of complex single curvature surface is constructed. The springback compensation amount of micro plate element after surface discretization is calculated by discretization thought, and then the springback is obtained by interpolation method and difference method Front shape. The finite element analysis and experimental comparison between the interpolation method and the difference method for calculating the springback correction shape are carried out. The simulation results show that the final surface obtained by the two methods is more close to the target surface, which is in good agreement with the target shape, and the error is small. Therefore, compared with the difference method, the interpolation method has better forming accuracy.

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References

  1. Aysha, A., Hafsa, R., Meera, A.: Experimental investigation of springback in air bending process. Mater. Sci. Eng. 323(1), 12–21 (2018)

    Google Scholar 

  2. Erhu, Q., Ming, Z.L., Rui, L.: Deformation behavior in multi-point forming using a strip steel pad. Proc. Inst. Mech. Eng. 234(9), 1775–1785 (2020)

    Google Scholar 

  3. Wang, J.L., Fu, M.W., Shi, S.Q., et al.: Influence of size effect and plastic strain gradient on the springback behaviour of metallic materials in microbending process. Int. J. Mech. Sci. 146, 105–115 (2018). (In Chinese)

    Article  Google Scholar 

  4. Birkert, A., Hartmann, B., Straub, M.: New method for springback compensation for the stamping of sheet metal components. J. Phys: Conf. Ser. 896(1), 12–67 (2017)

    Google Scholar 

  5. Xing, J., Cheng, Y.Y., Yi, Z.: Stress-strain and form accuracy of carbon steel components produced by a multi-point stretch forming technique. Strength Mater. 51(4), 667–677 (2019). (In Chinese)

    Article  Google Scholar 

  6. Hiramoto, J., Masaki, U., Akinobu, I., Fusahito, Y.: Simple Springback cause analysis using measured shapes of dies and pressed part. Key Eng. Mater. 725, 683–688 (2017)

    Article  Google Scholar 

  7. Choi, H.S., Yoon, J.W., Lee, J.S., Kim, G.H.: A Springback prediction of 1.5 GPa grade steel in roll forming process for automotive sill-side inner component. Key Eng. Mater. 794, 267–274 (2019)

    Article  Google Scholar 

  8. Richter, K., Reuther, F., Muller, R.: Simulation-based approach to predict the springback behavior of ultra-high strength spring strips. Mater. Sci. Forum 949, 48–56 (2019)

    Article  Google Scholar 

  9. Su, S., Jiang, Y., Xiong, Y.: Multi-point forming springback compensation control oftwo-dimensional hull plate. Adv. Mech. Eng. 12(4), 21–29 (2020). (In Chinese)

    Article  Google Scholar 

  10. Wu, J., Zhang, Z., Shang, Q., et al.: A method for investigating the springback behavior of 3D tubes. Int. J. Mech. Sci. 131, 191–204 (2017). (In Chinese)

    Article  Google Scholar 

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Acknowledgements

This work was supported by Program for Innovative Research Team of Jilin Engineering Normal University (IRTJLENU).

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Correspondence to Hongfen Wang .

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Zhang, Q., Wang, H. (2021). Prediction and Compensation Algorithm of Variable Curved Surface in Multi-point Forming. In: Atiquzzaman, M., Yen, N., Xu, Z. (eds) Big Data Analytics for Cyber-Physical System in Smart City. BDCPS 2020. Advances in Intelligent Systems and Computing, vol 1303. Springer, Singapore. https://doi.org/10.1007/978-981-33-4572-0_127

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  • DOI: https://doi.org/10.1007/978-981-33-4572-0_127

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  • Publisher Name: Springer, Singapore

  • Print ISBN: 978-981-33-4573-7

  • Online ISBN: 978-981-33-4572-0

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