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A Theoretical Rigid Body Model of Vibrating Screen for Spring Failure Diagnosis

Author

Listed:
  • Yue Liu

    (Department of Mechanical Engineering, State Key Laboratory of Tribology, Tsinghua University, Beijing 100084, China)

  • Shuangfu Suo

    (Department of Mechanical Engineering, State Key Laboratory of Tribology, Tsinghua University, Beijing 100084, China)

  • Guoying Meng

    (School of Mechanical Electronic & Information Engineering, China University of Mining & Technology-Beijing, Beijing 10083, China)

  • Deyong Shang

    (School of Mechanical Electronic & Information Engineering, China University of Mining & Technology-Beijing, Beijing 10083, China)

  • Long Bai

    (Mechanical & Electrical Engineering School, Beijing Information Science & Technology University, Beijing 100192, China)

  • Jianwen Shi

    (Department of Mechanical Engineering, State Key Laboratory of Tribology, Tsinghua University, Beijing 100084, China)

Abstract

Springs are critical components in mining vibrating screen elastic supports. However, long-term alternating loads are likely to lead to spring failures, likely resulting in structural damages to the vibrating screen and resulting in a lower separation efficiency. Proper dynamic models provide a basis for spring failure diagnosis. In this paper, a six-degree-of-freedom theoretical rigid body model of a mining vibrating screen is proposed, and a dynamic equation is established in order to explore the dynamic characteristics. Numerical simulations, based on the Newmark-β algorithm, are carried out, and the results indicate that the model proposed is suitable for revealing the dynamic characteristics of the mining vibrating screen. Meanwhile, the mining vibrating screen amplitudes change with the spring failures. Therefore, six types of spring failure are selected for simulations, and the results indicate that the spring failures lead to an amplitude change for the four elastic support points in the x , y , and z directions, where the changes depend on certain spring failures. Hence, the key to spring failure diagnosis lies in obtaining the amplitude change rules, which can reveal particular spring failures. The conclusions provide a theoretical basis for further study and experiments in spring failure diagnosis for a mining vibrating screen.

Suggested Citation

  • Yue Liu & Shuangfu Suo & Guoying Meng & Deyong Shang & Long Bai & Jianwen Shi, 2019. "A Theoretical Rigid Body Model of Vibrating Screen for Spring Failure Diagnosis," Mathematics, MDPI, vol. 7(3), pages 1-16, March.
  • Handle: RePEc:gam:jmathe:v:7:y:2019:i:3:p:246-:d:212504
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    References listed on IDEAS

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    1. Long Bai & Lu-han Ma & Zhifeng Dong & Xinsheng Ge, 2017. "Kinematics, Dynamics, and Optimal Control of Pneumatic Hexapod Robot," Mathematical Problems in Engineering, Hindawi, vol. 2017, pages 1-16, March.
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