Articles | Volume 16, issue 1
https://doi.org/10.5194/ms-16-237-2025
https://doi.org/10.5194/ms-16-237-2025
Research article
 | 
26 May 2025
Research article |  | 26 May 2025

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

Hang Ye, Zhongke Niu, Dawei Han, Xu Su, Weidi Chen, Guojun Tu, and Tianchi Zhu

Related subject area

Subject: Mechanisms and Robotics | Techniques and Approaches: Optimization
Interactive trajectory prediction for autonomous driving based on Transformer
Rui Xu, Jun Li, Shiyi Zhang, Lei Li, Hulin Li, Guiying Ren, and Xinglong Tang
Mech. Sci., 16, 87–97, https://doi.org/10.5194/ms-16-87-2025,https://doi.org/10.5194/ms-16-87-2025, 2025
Short summary
Thermomechanical coupled topology optimization of parameterized lattice structures
Hongyi Zhang, Yang Wang, Shuyou Zhang, Xiaojian Liu, and Xuewei Zhang
Mech. Sci., 15, 555–566, https://doi.org/10.5194/ms-15-555-2024,https://doi.org/10.5194/ms-15-555-2024, 2024
Short summary
Kinematic analysis and bearing capacity optimization of fully decoupled two-rotation mechanisms
Sen Wang, Xueyan Han, Haoran Li, Hongyu Xu, and Shihua Li
Mech. Sci., 15, 111–121, https://doi.org/10.5194/ms-15-111-2024,https://doi.org/10.5194/ms-15-111-2024, 2024
Short summary
Multi-objective optimization design of parallel manipulators using a neural network and principal component analysis
Chao Yang, Peijiao Li, Yang Wang, Wei Ye, Tianze Sun, Fengli Huang, and Hui Zhang
Mech. Sci., 14, 361–370, https://doi.org/10.5194/ms-14-361-2023,https://doi.org/10.5194/ms-14-361-2023, 2023
Short summary
Topology optimization for thermal structures considering design-dependent convection boundaries based on the bidirectional evolutionary structural optimization method
Yanding Guo, Dong Wei, Tieqiang Gang, Xining Lai, Xiaofeng Yang, Guangming Xiao, and Lijie Chen
Mech. Sci., 14, 223–235, https://doi.org/10.5194/ms-14-223-2023,https://doi.org/10.5194/ms-14-223-2023, 2023
Short summary

Cited articles

Chen, Y.-S.: Optimal Design of crank and Rocker Mechanism based on DFM [J], Mechanical design and manufacturing, 2012, 2, https://doi.org/10.3969/j.issn.1001-3997.2012.10.014, 2012. 
Dong, E., Xu, M., Li, Y., and Yang, J.: Optimization of synchronization performance of single crank and double rocker mechanism [J], J. Mech. Eng., 2010, 5, https://doi.org/10.3901/JME.2010.07.022, 2010. 
Fang, D., Zhang, C., and Cao, X.: Application of Planar Linkage Mechanism in Automatic Flat Press [J], Mech. Res. Appl., 2004, 28–29, 2004. 
Kennedy, J. and Eberhart, R.: Particle swarm optimization [C], IEEE International Conference on Neural Networks, 1995, Proceedings, 1995, 1942–1948, 1995. 
Li, J. and Xiong, H.: Improved Genetic Algorithm for Scaling Optimization of Six-Bar Mechanism with Dead Center Position [J], Modular Mach. Tool Auto. Mach. Technol., 2022, 5, https://doi.org/10.13462/j.cnki.mmtamt.2022.03.008, 2022. 
Download
Short summary
We establish a size optimization model of the Watt-II six-bar mechanism combined with the particle swarm algorithm and then complete the size optimization of the Watt-II six-bar mechanism. After analyzing the optimization effect, the results show that the mechanism after size optimization could effectively improve the output efficiency and capacity.
Share