Optimal design of tricept parallel manipulator with particle swarm optimization using performance parameters
Joint Authors
Faruq, Sayyid Sad
Baqai, Amir Ahmad
Shah, Muhammad Faizan
Source
Journal of Engineering Research
Issue
Vol. 9, Issue 2 (30 Jun. 2021), pp.278-295, 18 p.
Publisher
Kuwait University Academic Publication Council
Publication Date
2021-06-30
Country of Publication
Kuwait
No. of Pages
18
Main Subjects
Abstract EN
The parallel manipulators are skilled for their precision manufacturing but need optimized design to get maximum dexterity that will lead towards better industrial production rates.
the 3-DOF tricept is chosen to utilize its maximum capabilities for its functionality.
three performance parameters conditioning index, workspace volume, and global conditioning index are used to obtain optimum design variables of tricept mechanism.
with a view to compare them in terms of processing effort, particle swarm optimization (PSO) is applied here.
Finally, multiobjective optimization with two strategies weighted and epsilon constraint is performed to control the different parameters simultaneously and also to give validation of previously obtained GA based optimum design values of tricept mechanism.
American Psychological Association (APA)
Faruq, Sayyid Sad& Baqai, Amir Ahmad& Shah, Muhammad Faizan. 2021. Optimal design of tricept parallel manipulator with particle swarm optimization using performance parameters. Journal of Engineering Research،Vol. 9, no. 2, pp.278-295.
https://search.emarefa.net/detail/BIM-1494862
Modern Language Association (MLA)
Faruq, Sayyid Sad…[et al.]. Optimal design of tricept parallel manipulator with particle swarm optimization using performance parameters. Journal of Engineering Research Vol. 9, no. 2 (Jun. 2021), pp.278-295.
https://search.emarefa.net/detail/BIM-1494862
American Medical Association (AMA)
Faruq, Sayyid Sad& Baqai, Amir Ahmad& Shah, Muhammad Faizan. Optimal design of tricept parallel manipulator with particle swarm optimization using performance parameters. Journal of Engineering Research. 2021. Vol. 9, no. 2, pp.278-295.
https://search.emarefa.net/detail/BIM-1494862
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references : p. 292-295.
Record ID
BIM-1494862