Mechanical Sciences
Mechanical Sciences
Mechanical Sciences
Articles | Volume 13, issue 1
Articles | Volume 13, issue 1
https://doi.org/10.5194/ms-13-371-2022
© Author(s) 2022. This work is distributed under
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/ms-13-371-2022
© Author(s) 2022. This work is distributed under
the Creative Commons Attribution 4.0 License.
Articles | Volume 13, issue 1
Research article
 | 
25 Apr 2022
Research article |  | 25 Apr 2022

Novel loop tree for the similarity recognition of kinematic chains

Lei Wang, Liang Sun, Rongjiang Cui, Yadan Xu, Gaohong Yu, and Chuanyu Wu

Viewed

Total article views: 822 (including HTML, PDF, and XML)
HTML PDF XML Total BibTeX EndNote
677 118 27 822 27 26
  • HTML: 677
  • PDF: 118
  • XML: 27
  • Total: 822
  • BibTeX: 27
  • EndNote: 26
Views and downloads (calculated since 25 Apr 2022)
Cumulative views and downloads (calculated since 25 Apr 2022)

Viewed (geographical distribution)

Total article views: 762 (including HTML, PDF, and XML) Thereof 762 with geography defined and 0 with unknown origin.
Country # Views %
  • 1
1
 
 
 
 
Latest update: 20 Nov 2024
Download
Short summary
Similarity recognition of kinematic chains (KCs) is an important part of the mechanism innovation design, which can avoid isomorphism in the synthesis process and reduce the generation of redundant design schemes. In this paper, the new concepts of a loop tree (LT) and a loop tree matrix (LTM) have been proposed, which improve the efficiency of similarity recognition.
Read more