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...
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| Vydáno v: | Applied sciences Ročník 15; číslo 1; s. 122 |
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MDPI AG
01.01.2025
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| ISSN: | 2076-3417, 2076-3417 |
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| 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. |
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| AbstractList | 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. |
| Author | Li, Hua Ma, Yinghao Zhang, Zhirong Lin, Shuting |
| Author_xml | – sequence: 1 givenname: Shuting surname: Lin fullname: Lin, Shuting – sequence: 2 givenname: Zhirong surname: Zhang fullname: Zhang, Zhirong – sequence: 3 givenname: Yinghao surname: Ma fullname: Ma, Yinghao – sequence: 4 givenname: Hua surname: Li fullname: Li, Hua |
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| Cites_doi | 10.12693/APhysPolA.132.728 10.1088/1742-6596/2557/1/012024 10.1080/21642583.2019.1708830 10.30534/ijatcse/2020/191932020 10.1007/s40430-020-02557-2 10.1016/0010-4485(88)90053-X 10.1016/S0094-114X(01)00078-7 10.1016/j.mechmachtheory.2020.104045 10.1177/09544062231196068 10.3390/app132111682 10.1016/S0360-8352(98)00149-1 10.3390/act11020049 10.3390/app11031107 10.3390/app122412543 10.3390/machines11070716 10.3390/app14125165 10.1007/s10462-023-10435-1 10.1016/j.triboint.2016.09.029 |
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| References_xml | – volume: 132 start-page: 728 year: 2017 ident: ref_3 article-title: A Study on Optimization of Planetary Gear Trains publication-title: Acta Phys. Pol. A doi: 10.12693/APhysPolA.132.728 – volume: 2557 start-page: 012024 year: 2023 ident: ref_6 article-title: Equal Strength Optimal Design of Planetary Gear Transmission publication-title: J. Phys. Conf. Ser. doi: 10.1088/1742-6596/2557/1/012024 – volume: 8 start-page: 22 year: 2020 ident: ref_23 article-title: A novel swarm intelligence optimization approach: Sparrow search algorithm publication-title: Syst. Sci. Control Eng. doi: 10.1080/21642583.2019.1708830 – volume: 17 start-page: 462 year: 2011 ident: ref_4 article-title: Optimisation of planetary gear train using multiobjective genetic algorithm publication-title: J. Balk. Tribol. Assoc. – volume: 9 start-page: 3757 year: 2020 ident: ref_7 article-title: Optimize Volume for Planetary Gear Train by using Algorithm Based Artificial Immune System publication-title: Int. J. Adv. Trends Comput. Sci. Eng. doi: 10.30534/ijatcse/2020/191932020 – volume: 42 start-page: 477 year: 2020 ident: ref_13 article-title: Multi-objective optimization of a 2-stage spur gearbox using NSGA-II and decision-making methods publication-title: J. Braz. Soc. Mech. Sci. Eng. doi: 10.1007/s40430-020-02557-2 – volume: 20 start-page: 83 year: 1988 ident: ref_10 article-title: Practical approach to optimum gear train design publication-title: Comput. Aided Des doi: 10.1016/0010-4485(88)90053-X – volume: 37 start-page: 295 year: 2002 ident: ref_12 article-title: A new and generalized methodology to design multi-stage gear drives by integrating the dimensional and the configuration design process publication-title: Mech. Mach. Theory doi: 10.1016/S0094-114X(01)00078-7 – volume: 154 start-page: 104045 year: 2020 ident: ref_8 article-title: Macro geometry multi-objective optimization of planetary gearbox considering scuffing constraint publication-title: Mech. Mach. Theory doi: 10.1016/j.mechmachtheory.2020.104045 – volume: 6 start-page: 823 year: 2020 ident: ref_14 article-title: 3D Optimization of Gear Train Layout Using Particle Swarm Optimization Algorithm publication-title: J. Appl. Comput. Mech. – volume: 238 start-page: 3338 year: 2024 ident: ref_16 article-title: Optimization of planetary gearbox using nature inspired meta-heuristic optimizers publication-title: Proc. Inst. Mech. Eng. Part C J. Mech. Eng. Sci. doi: 10.1177/09544062231196068 – ident: ref_9 doi: 10.3390/app132111682 – volume: 35 start-page: 523 year: 1998 ident: ref_11 article-title: A solution method for optimal weight design problem of the gear using genetic algorithms publication-title: Comput. Ind. Eng. doi: 10.1016/S0360-8352(98)00149-1 – ident: ref_2 doi: 10.3390/act11020049 – ident: ref_5 doi: 10.3390/app11031107 – ident: ref_18 doi: 10.3390/app122412543 – ident: ref_15 doi: 10.3390/machines11070716 – ident: ref_22 – ident: ref_21 – ident: ref_19 doi: 10.3390/app14125165 – ident: ref_20 – volume: 56 start-page: 10867 year: 2023 ident: ref_17 article-title: Review and empirical analysis of sparrow search algorithm publication-title: Artif. Intell. Rev. doi: 10.1007/s10462-023-10435-1 – volume: 105 start-page: 42 year: 2017 ident: ref_1 article-title: Planetary gear sets power loss modeling: Application to wind turbines publication-title: Tribol. Int. doi: 10.1016/j.triboint.2016.09.029 |
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| SubjectTerms | Algorithms Design Efficiency gearbox design Genetic algorithms Light light-weighting Methods multi-strategy optimization Optimization planetary gearbox Ratios |
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| Title | Light-Weighting of Planetary Gearbox Based on Multi-Strategy Optimization Sparrow Search Algorithm |
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