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Numerical Investigations of Tribological Characteristics of Biomimetic-Textured Surfaces

Author

Listed:
  • Cheng Wang

    (College of Mechanical and Vehicle Engineering, Chongqing University, Chongqing 400044, China)

  • Jianlin Cai

    (College of Mechanical and Vehicle Engineering, Chongqing University, Chongqing 400044, China)

  • Gong Cheng

    (School of Mechanical Engineering and Automation, Chongqing Industry Polytechnic College, Chongqing 401120, China)

  • Jiaxu Wang

    (College of Mechanical and Vehicle Engineering, Chongqing University, Chongqing 400044, China
    School of Mechanical and Power Engineering, Chongqing University of Science and Technology, Chongqing 401331, China)

  • Dongxing Tang

    (College of Mechanical and Vehicle Engineering, Chongqing University, Chongqing 400044, China)

Abstract

Rail transportation has dramatically improved travel convenience, but it has also led to environmental pollution and energy consumption issues. These challenges can be partially addressed by reducing friction loss in the mechanical transmission of rail systems. This paper examines the tribological properties of bionic-textured surfaces inspired by snake- and sharkskin. This study focuses on generating bionic textured surfaces with randomly distributed peaks through numerical simulation and connecting them to a transient Reynolds equation and friction fatigue model. The bionic surface wear lubrication model considers the lubricating film’s thickness and contact pressure obtained from the GT model. The results reveal that the existence of a bionic texture can reduce the friction coefficient and wear amount on the contact surface. The findings of this study not only offer a potential solution for reducing energy consumption and emissions in intelligent rail transit systems but also hold promise for providing further insights into the numerical simulation of bionic weaving and the investigation of tribological characteristics.

Suggested Citation

  • Cheng Wang & Jianlin Cai & Gong Cheng & Jiaxu Wang & Dongxing Tang, 2023. "Numerical Investigations of Tribological Characteristics of Biomimetic-Textured Surfaces," Sustainability, MDPI, vol. 15(17), pages 1-16, August.
    • Handle: RePEc:gam:jsusta:v:15:y:2023:i:17:p:13054-:d:1228656
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    References listed on IDEAS

    as
    1. Jing Sun & Muhammad Safdar Sial & Dasong Deng & Darina Saxunova & Ahsanuddin Haider & Mohammed Arshad Khan, 2022. "The Significance of Urban Rail Transit Systems in Mitigating Air Pollution Effects: The Case of China," Sustainability, MDPI, vol. 14(21), pages 1-10, October.
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