Mechanical Sciences
Mechanical Sciences
Mechanical Sciences
Articles | Volume 13, issue 1
Articles | Volume 13, issue 1
https://doi.org/10.5194/ms-13-577-2022
© Author(s) 2022. This work is distributed under
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/ms-13-577-2022
© Author(s) 2022. This work is distributed under
the Creative Commons Attribution 4.0 License.
Articles | Volume 13, issue 1
Research article
 | 
23 Jun 2022
Research article |  | 23 Jun 2022

Roundness error evaluation in image domain based on an improved bee colony algorithm

Benchi Jiang, Xin Du, Shilei Bian, and Lulu Wu

Viewed

Total article views: 849 (including HTML, PDF, and XML)
HTML PDF XML Total BibTeX EndNote
684 149 16 849 13 16
  • HTML: 684
  • PDF: 149
  • XML: 16
  • Total: 849
  • BibTeX: 13
  • EndNote: 16
Views and downloads (calculated since 23 Jun 2022)
Cumulative views and downloads (calculated since 23 Jun 2022)

Viewed (geographical distribution)

Total article views: 804 (including HTML, PDF, and XML) Thereof 804 with geography defined and 0 with unknown origin.
Country # Views %
  • 1
1
 
 
 
 

Cited

Latest update: 19 Apr 2024
Download
Short summary
In this paper, the traditional bee colony algorithm is improved, and its roundness error evaluation method is improved. For the roundness profile data of the part, the improved bee colony algorithm is used to determine the position and size of the circle. In order to improve the efficiency of the algorithm, the local search region of the population initialization is determined according to the definition of roundness error. The evaluation accuracy of this algorithm is better than common ones.
Read more