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 al...

Ausführliche Beschreibung

Gespeichert in:
Bibliographische Detailangaben
Veröffentlicht in:Applied sciences Jg. 15; H. 1; S. 122
Hauptverfasser: Lin, Shuting, Zhang, Zhirong, Ma, Yinghao, Li, Hua
Format: Journal Article
Sprache:Englisch
Veröffentlicht: Basel MDPI AG 01.01.2025
Schlagworte:
Algorithms
Design
Efficiency
gearbox design
Genetic algorithms
Light
light-weighting
Methods
multi-strategy optimization
Optimization
planetary gearbox
Ratios
ISSN:2076-3417, 2076-3417
Online-Zugang:Volltext
Tags: Tag hinzufügen
Keine Tags, Fügen Sie den ersten Tag hinzu!
Beschreibung
Zusammenfassung: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.
Bibliographie:ObjectType-Article-1
SourceType-Scholarly Journals-1
ObjectType-Feature-2
content type line 14
ISSN:2076-3417
2076-3417
DOI:10.3390/app15010122