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Multi-strategy Gaussian Harris hawks optimization for fatigue life of tapered roller bearings

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Abstract

Bearing is one of the most fundamental components of rotary machinery, and its fatigue life is a crucial factor in designing. The design optimization of tapered roller bearing (TRB) is a complex design problem because various arrays of designing parameters and functional requirements should be fulfilled. Since there are many design variables and nonlinear constraints, presenting an optimal design of TRBs poses some challenges for metaheuristic algorithms. The Harris hawks optimization (HHO) algorithm is a robust nature-inspired method with unique exploitation and exploration phases due to its time-varying structure. However, this metaheuristic algorithm may still converge to local optima for more challenging problems such as the design of TRBs. Therefore, this study aims to improve the accuracy and efficiency of the shortcomings of this algorithm. The performance of the proposed algorithm is first evaluated for the TRB optimization problem. The TRB optimization design has nine design variables and 26 constraints because of geometrical dimensions and strength conditions. The productivity of the proposed method is compared with diverse metaheuristic algorithms in the literature. The results demonstrate the significant development of dynamic load capacity in comparison to the standard value. Furthermore, the enhanced version of the HHO algorithm presented in this study is benchmarked with various well-known engineering problems. For supplementary materials regarding algorithms in this research, readers can refer to https://aliasgharheidari.com.

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Notes

  1. https://aliasgharheidari.com/SMA.html.

  2. https://aliasgharheidari.com/HGS.html.

  3. https://aliasgharheidari.com/RUN.html.

  4. https://aliasgharheidari.com/HHO.html.

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Acknowledgements

This paper results from the MSc thesis of the first name that defended his thesis successfully within the revision of this research. We acknowledge the supports of Ozyegin University. We also acknowledge reviewers’ comments and the editor’s efforts, which significantly enhanced this research’s excellence.

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Authors and Affiliations

  1. Vibrations and Acoustics Laboratory (VAL), Mechanical Engineering Department, Ozyegin University, Istanbul, Turkey

    Ahmad Abbasi, Behnam Firouzi & Polat Sendur

  2. School of Surveying and Geospatial Engineering, College of Engineering, University of Tehran, 1417466191, Tehran, Iran

    Ali Asghar Heidari

  3. Department of Computer Science and Artificial Intelligence, Wenzhou University, Wenzhou, 325035, China

    Huiling Chen

  4. Department of Mechanical Engineering, Indian Institute of Technology Guwahati, Guwahati, 781 039, India

    Rajiv Tiwari

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Abbasi, A., Firouzi, B., Sendur, P. et al. Multi-strategy Gaussian Harris hawks optimization for fatigue life of tapered roller bearings. Engineering with Computers 38 (Suppl 5), 4387–4413 (2022). https://doi.org/10.1007/s00366-021-01442-3

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