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An improved white shark optimizer algorithm used to optimize the structural parameters of the oil pad in the hydrostatic bearing

  • Yanan Feng

    Yanan Feng received a master’s degree from Harbin University of Science and Technology in 2020 and is currently studying for a PhD in Mechanical Engineering at Harbin University of Science and Technology. The main research directions are hydrostatic bearings, fluid mechanics, tribological properties, and structural optimization.

         , Xiaodong Yu

    Professor Dr. Xiaodong Yu received the BSc degree and MSc degree in the Mechanical Design and Theory from Yan Shan University in 1992 and Harbin University of Science and Technology in 2003, respectively, and the PhD degree in the Mechanical Design and Theory from Northeast Forestry University in 2007. Now he is a professor and has published over 50 technical articles on hydrostatic thrust bearing, lubrication theory and numerical research of lubrication performance. His current research interests include lubrication theory and bearing manufacturing.

     EMAIL logo     , Weicheng Gao

    Weicheng Gao received a master’s degree from Harbin University of Science and Technology in 2021 and is currently studying for a doctorate in Mechanical Engineering at Harbin University of Science and Technology. The main research directions are hydrostatic guide rails, fluid mechanics, and tribological properties.

         , Junfeng Wang

    Junfeng Wang, Han nationality, born in November 1971, a master’s degree in engineering, a researcher-level senior engineer, is currently the chairman of Qizhong CNC Equipment Co., Ltd.

         , Wentao Jia

    Wentao Jia graduated from Changchun University with a bachelor’s degree, and then studied for an on-the-job master’s degree in Harbin University of Science and Technology. He is currently the deputy general manager of Qizhong CNC Equipment Co., Ltd.

         and Jianhua Jiao

    Jianhua Jiao is a senior engineer. He is the head of the Outstanding Youth Program of the Natural Science Foundation of Heilongjiang Province, and a member of the “Touyan” team of Heilongjiang Province. He has won five China Machinery Industry Science and Technology Progress Awards, nine Heilongjiang Science and Technology Progress Awards, two Heilongjiang Machinery Industry Science and Technology Progress Awards, and 12 Qiqihar Science and Technology Progress Awards.
Published/Copyright: June 5, 2024
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Materials Testing
From the journal Materials Testing Volume 66 Issue 8

Abstract

An improved white shark optimizer (MWSO) algorithm has been proposed. The algorithm adopts an improved tent chaotic mapping strategy to enhance the diversity of the initial population of white sharks, introduces the balance pool strategy of the EO algorithm to improve the convergence speed and accuracy of the algorithm, applies adaptive t-distribution dynamic selection probability perturbation to the global optimal solution, and adjusts the exploration and development ability of the algorithm at different iteration periods. MWSO, WSO, and seven excellent metaheuristic algorithms are tested and compared on 23 classic test functions and the CEC2017 test suite, and two non-parametric tests, a Wilcoxon rank sum test with a significance level of 0.05 and Friedman test, are conducted. The statistical results indicate that the proposed MWSO is significantly superior to other algorithms. In addition, nine algorithms are applied for the first time to optimize the structural parameters of the oil sealing edge of oil pads in response to the issue of the bearing capacity of hydrostatic bearings. This not only further verified the superiority of MWSO, but also provided new ideas for the optimization of hydrostatic bearings.

Keywords: white shark optimizer (WSO); metaheuristics; improve tent chaos mapping; balance pool; adaptive t-distribution dynamic selection probability disturbance; hydrostatic bearing
Corresponding author: Xiaodong Yu, Harbin University of Science and Technology, Harbin 150080, Heilongjiang, China, E-mail:

Funding source: National Key Research and Development Project

Award Identifier / Grant number: 2022YFB3404902

About the authors

Yanan Feng

Yanan Feng received a master’s degree from Harbin University of Science and Technology in 2020 and is currently studying for a PhD in Mechanical Engineering at Harbin University of Science and Technology. The main research directions are hydrostatic bearings, fluid mechanics, tribological properties, and structural optimization.

Xiaodong Yu

Professor Dr. Xiaodong Yu received the BSc degree and MSc degree in the Mechanical Design and Theory from Yan Shan University in 1992 and Harbin University of Science and Technology in 2003, respectively, and the PhD degree in the Mechanical Design and Theory from Northeast Forestry University in 2007. Now he is a professor and has published over 50 technical articles on hydrostatic thrust bearing, lubrication theory and numerical research of lubrication performance. His current research interests include lubrication theory and bearing manufacturing.

Weicheng Gao

Weicheng Gao received a master’s degree from Harbin University of Science and Technology in 2021 and is currently studying for a doctorate in Mechanical Engineering at Harbin University of Science and Technology. The main research directions are hydrostatic guide rails, fluid mechanics, and tribological properties.

Junfeng Wang

Junfeng Wang, Han nationality, born in November 1971, a master’s degree in engineering, a researcher-level senior engineer, is currently the chairman of Qizhong CNC Equipment Co., Ltd.

Wentao Jia

Wentao Jia graduated from Changchun University with a bachelor’s degree, and then studied for an on-the-job master’s degree in Harbin University of Science and Technology. He is currently the deputy general manager of Qizhong CNC Equipment Co., Ltd.

Jianhua Jiao

Jianhua Jiao is a senior engineer. He is the head of the Outstanding Youth Program of the Natural Science Foundation of Heilongjiang Province, and a member of the “Touyan” team of Heilongjiang Province. He has won five China Machinery Industry Science and Technology Progress Awards, nine Heilongjiang Science and Technology Progress Awards, two Heilongjiang Machinery Industry Science and Technology Progress Awards, and 12 Qiqihar Science and Technology Progress Awards.

  1. Research ethics: Not applicable.

  2. Author contributions: Yanan Feng: conceptualization, methodology, writing-original draft. Xiaodong Yu: funding acquisition, supervision, formal analysis, writing-review and editing. Weicheng Gao: writing-review and editing. Junfeng Wang: validation, investigation. Wentao Jia: validation, investigation and equipment. Jianhua Jiao: validation.

  3. Competing interests: All authors have no financial or proprietary interests in any material discussed in this article.

  4. Research funding: This financial support for this work was provided by National Key Research and Development Project (2022YFB3404902).

  5. Data availability: Inquiries about data availability should be directly addressed to the author.

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Published Online: 2024-06-05
Published in Print: 2024-08-27

© 2024 Walter de Gruyter GmbH, Berlin/Boston

Articles in the same Issue

  1. Frontmatter
  2. An improved white shark optimizer algorithm used to optimize the structural parameters of the oil pad in the hydrostatic bearing
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https://doi.org/10.1515/mt-2023-0319
Keywords for this article
white shark optimizer (WSO); metaheuristics; improve tent chaos mapping; balance pool; adaptive t-distribution dynamic selection probability disturbance; hydrostatic bearing

Articles in the same Issue

  1. Frontmatter
  2. An improved white shark optimizer algorithm used to optimize the structural parameters of the oil pad in the hydrostatic bearing
  3. Microstructure and oxidation of a Ni–Al based intermetallic coating formation on a Monel-400 alloy
  4. Friction, wear, and hardness properties of hybrid vehicle brake pads and effects on brake disc roughness
  5. Development of sinter linings for high-speed trains
  6. Wear resistance optimized by heat treatment of an in-situ TiC strengthened AlCoCrFeNi laser cladding coating
  7. Mechanical analysis of hybrid structured aircraft wing ribs with different geometric gaps
  8. Thermo-mechanical characteristics of spent coffee grounds reinforced bio-composites
  9. Compositional zoning and evolution of symplectite coronas in jadeitite
  10. Effect of niobium addition on the microstructure and wear properties of mechanical alloyed Cu–Al–Ni shape memory alloy
  11. Optimization of electric vehicle design problems using improved electric eel foraging optimization algorithm
  12. Effects of infill pattern and compression axis on the compressive strength of the 3D-printed cubic samples
  13. Microstructure and tribological properties of aluminum matrix composites reinforced with ZnO–hBN nanocomposite particles
  14. Marathon runner algorithm: theory and application in mathematical, mechanical and structural optimization problems
  15. Parameter identification of Yoshida–Uemori combined hardening model by using a variable step size firefly algorithm
  16. Identification of the tip mass parameters in a beam-tip mass system using response surface methodology
  17. Production and characterization of waste walnut shell powder that can be used as a sustainable eco-friendly reinforcement in biocomposites
  18. Anticorrosion performance of a zinc-rich cycloaliphatic epoxy resin coating containing CeO2 nanoparticle
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