Mechanical Sciences
Mechanical Sciences
Mechanical Sciences
Articles | Volume 13, issue 2
Articles | Volume 13, issue 2
https://doi.org/10.5194/ms-13-771-2022
© Author(s) 2022. This work is distributed under
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/ms-13-771-2022
© Author(s) 2022. This work is distributed under
the Creative Commons Attribution 4.0 License.
Articles | Volume 13, issue 2
Research article
 | 
28 Sep 2022
Research article |  | 28 Sep 2022

TGA-based solutions map method for four-position synthesis of planar 4R linkage

Yehui Zhao, Lijun Xue, Guangming Wang, Fanglei Zou, Yue Song, and Hongjian Zhang

Viewed

Total article views: 866 (including HTML, PDF, and XML)
HTML PDF XML Total BibTeX EndNote
693 147 26 866 22 25
  • HTML: 693
  • PDF: 147
  • XML: 26
  • Total: 866
  • BibTeX: 22
  • EndNote: 25
Views and downloads (calculated since 28 Sep 2022)
Cumulative views and downloads (calculated since 28 Sep 2022)

Viewed (geographical distribution)

Total article views: 830 (including HTML, PDF, and XML) Thereof 830 with geography defined and 0 with unknown origin.
Country # Views %
  • 1
1
 
 
 
 
Latest update: 03 Nov 2024
Download
Short summary
In this study, we want to design a 4R linkage so that a point on its coupler can pass through the four specified positions. However, for most synthesis problems, the number of feasible solutions in the solution domain is seriously insufficient. Therefore, a solutions map method was proposed to realize the visualization of the solution domain and a telomere genetic algorithm (TGA) was proposed to optimize solutions map, so as to improve the number and proportion of feasible solutions.
Read more