Articles | Volume 12, issue 1
https://doi.org/10.5194/ms-12-333-2021
https://doi.org/10.5194/ms-12-333-2021
Research article
 | 
26 Mar 2021
Research article |  | 26 Mar 2021

Structural optimization of a new type of lever-assisted gear reducer based on a genetic algorithm

Lei Guo, Zeyu Wang, Yuan Song, Xianjie Shan, and Dongming Gan

Viewed

Total article views: 1,826 (including HTML, PDF, and XML)
HTML PDF XML Total BibTeX EndNote
1,293 499 34 1,826 30 31
  • HTML: 1,293
  • PDF: 499
  • XML: 34
  • Total: 1,826
  • BibTeX: 30
  • EndNote: 31
Views and downloads (calculated since 26 Mar 2021)
Cumulative views and downloads (calculated since 26 Mar 2021)

Viewed (geographical distribution)

Total article views: 1,701 (including HTML, PDF, and XML) Thereof 1,701 with geography defined and 0 with unknown origin.
Country # Views %
  • 1
1
 
 
 
 

Cited

Latest update: 03 Nov 2024
Download
Short summary
In industrial production, the reducer often determines the accuracy of the machine. Designing a reducer with high strength and good accuracy plays an important role in industrial development. In this paper, combined with previous studies, a new type of reducer based on the lever structure is designed, and the performance of the reducer is optimized. Finally, the most appropriate geometric parameters are obtained to ensure the high efficiency of the reducer. It is effective and stable.