Light-Weighting of Planetary Gearbox Based on Multi-Strategy Optimization Sparrow Search Algorithm

During the planetary gearbox design process, the issue of light-weighting has been studied using various methods. To get better results from light-weighting, it is necessary for new methods to be considered to deal with this problem. This study proposes the multi-strategy optimized sparrow search algorithm (MSOSSA) that employs five strategies to improve the ability to generate high-quality initial solutions, convergence ability and speed, and the quality of the solution. In the application, the volume of the gearbox is reduced by 6.39%, and the difference in ratio from the previous application is no more than 1.5%. The light-weighting problem of the gearbox is effectively solved. Compared to the other two algorithms, the MSOSSA is six times more likely to produce a high-quality initial solution in a set of 30 runs. The speed of convergence and the ability to converge and generate global optima are the best of the three.

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Publication Details

Journal
Applied Sciences
Published
2024-12-27
DOI
https://doi.org/10.3390/app15010122
Citations
1
Primary Topic
Gear and Bearing Dynamics Analysis
Type
article
Field-Weighted Citation Impact
0.21
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article

Light-Weighting of Planetary Gearbox Based on Multi-Strategy Optimization Sparrow Search Algorithm

Yinghao Ma, S. T. Lin, Zhirong Zhang, Hua Li
1 citations
Applied Sciences
Gear and Bearing Dynamics Analysis
0.21
article

Light-Weighting of Planetary Gearbox Based on Multi-Strategy Optimization Sparrow Search Algorithm

Yinghao Ma, S. T. Lin, Zhirong Zhang, Hua Li
article en
1 citations

Abstract

During the planetary gearbox design process, the issue of light-weighting has been studied using various methods. To get better results from light-weighting, it is necessary for new methods to be considered to deal with this problem. This study proposes the multi-strategy optimized sparrow search algorithm (MSOSSA) that employs five strategies to improve the ability to generate high-quality initial solutions, convergence ability and speed, and the quality of the solution. In the application, the volume of the gearbox is reduced by 6.39%, and the difference in ratio from the previous application is no more than 1.5%. The light-weighting problem of the gearbox is effectively solved. Compared to the other two algorithms, the MSOSSA is six times more likely to produce a high-quality initial solution in a set of 30 runs. The speed of convergence and the ability to converge and generate global optima are the best of the three.

Applied SciencesVol. 15(1)
Sichuan University (CN)
Openalex Percentile: Top 48%
Gear and Bearing Dynamics Analysis
0.21
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