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A Method for Rapid Prediction of Edge Defects in Cold Roll Forming Process

Author

Listed:
  • Zhijuan Meng

    (School of Applied Science, Taiyuan University of Science and Technology, Taiyuan 030024, China)

  • Yanan Fang

    (School of Applied Science, Taiyuan University of Science and Technology, Taiyuan 030024, China)

  • Lidong Ma

    (School of Mechanical Engineering, Taiyuan University of Science and Technology, Taiyuan 030024, China
    Coordinative Innovation Center of Taiyuan Heavy Machinery Equipment, Taiyuan University of Science and Technology, Taiyuan 030024, China)

Abstract

In order to implement rapid prediction of edge defects in the cold roll forming process, a new analytical method based on the mean longitudinal strain of the racks is presented. A cubic spline curve with the parameters of the cumulative chord length is applied to fit the corresponding points and center points of different passes, and fitting curves are obtained. As the cold roll forming is micro-tension forming, the tensions between racks are ignored. Then the mean longitudinal strains between racks are obtained. By comparing the mean longitudinal strain between racks and the yield strain of the material, we can judge whether there are defects at the edges. Finally, the reasonableness of this method is illustrated and validated by an example. With this method, the roll forming effect can be quickly predicted, and the position where a greater longitudinal strain occurred can be determined. In order to prevent the defects, the deformation angles need to be modified when the result is beyond the yield strain. To further prove the correctness of the theory, the results of the analytical method are compared with the ones of the non-linear finite element software ABAQUS. The analytical results have the same trend as the finite element results. This method can provide useful guidance to the actual design process.

Suggested Citation

  • Zhijuan Meng & Yanan Fang & Lidong Ma, 2021. "A Method for Rapid Prediction of Edge Defects in Cold Roll Forming Process," Mathematics, MDPI, vol. 9(16), pages 1-11, August.
    • Handle: RePEc:gam:jmathe:v:9:y:2021:i:16:p:1902-:d:611552
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    References listed on IDEAS

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    1. Cheng, Jing, 2020. "Analyzing the factors influencing the choice of the government on leasing different types of land uses: Evidence from Shanghai of China," Land Use Policy, Elsevier, vol. 90(C).
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    Cited by:

    1. Yumin Cheng, 2022. "Preface to the Special Issue on “Numerical Computation, Data Analysis and Software in Mathematics and Engineering”," Mathematics, MDPI, vol. 10(13), pages 1-5, June.

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