Size optimization method of the Watt-II six-bar mechanism based on particle swarm optimization

Abstract. Aiming at the difficult problem of comprehensive scale design of the six-bar mechanism in engineering practice, kinematic and dynamic analysis and modeling of the Watt-II six-bar mechanism were carried out and combined with the particle swarm optimization (PSO) algorithm, the size optimization model of the Watt-II six-bar mechanism was established, and the size optimization of the Watt-II six-bar mechanism was completed. The results show that the optimized mechanism can improve the output capacity of the mechanism and reduce the force of the parts while ensuring the motion stability, which has certain practical significance in engineering.

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Publication Details

Journal
Mechanical sciences
Published
2025-05-26
DOI
https://doi.org/10.5194/ms-16-237-2025
Citations
2
Primary Topic
Robotic Mechanisms and Dynamics
Type
article
Field-Weighted Citation Impact
2.43
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article

Size optimization method of the Watt-II six-bar mechanism based on particle swarm optimization

Zhongke Niu, Wanyi Chen, T. J. Zhu, Hang Ye et al.
2 citations
Mechanical sciences
Robotic Mechanisms and Dynamics
2.43
article

Size optimization method of the Watt-II six-bar mechanism based on particle swarm optimization

Zhongke Niu, Wanyi Chen, T. J. Zhu, Hang Ye, Dawei Han, Xu Su, Gan Feng Tu
article en
2 citations

Abstract

Abstract. Aiming at the difficult problem of comprehensive scale design of the six-bar mechanism in engineering practice, kinematic and dynamic analysis and modeling of the Watt-II six-bar mechanism were carried out and combined with the particle swarm optimization (PSO) algorithm, the size optimization model of the Watt-II six-bar mechanism was established, and the size optimization of the Watt-II six-bar mechanism was completed. The results show that the optimized mechanism can improve the output capacity of the mechanism and reduce the force of the parts while ensuring the motion stability, which has certain practical significance in engineering.

Mechanical sciencesVol. 16(1)
Openalex Percentile: Top 11%
Robotic Mechanisms and Dynamics
2.43
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