@article {10.3844/ajeassp.2009.381.387,
article_type = {journal},
title = {Geometric Optimization of Three-Phalanx Prosthesis Underactuated Fingers using Particles Swarm Algorithm},
author = {Nacy, Somar M. and Hassan, Shaker S. and Bakhy, Sadeq Hussein},
volume = {2},
number = {2},
year = {2009},
month = {Jun},
pages = {381-387},
doi = {10.3844/ajeassp.2009.381.387},
url = {https://thescipub.com/abstract/ajeassp.2009.381.387},
abstract = {Problem statement: One are now interested to investigate the optimum design procedure for a finger driving mechanism to have a good configuration of the finger for its utilization in hand prosthesis. A Geometric Optimization of Three-Phalanx Prosthesis Underactuated Fingers (TPPUF) based on a Particle Swarm Optimization (PSO) was presented. Approach: Firstly, a numerical evaluation of the human-like motion was obtained by using an anthropomorphic finger mechanism. Secondly, the dimensional design of a finger driving mechanism had been formulated as a multi-objective optimization problem by using evaluation criteria for fundamental characteristics that were associated with finger motion, grasping equilibrium and force transmission. Results: Testing results indicated that the proposed PSO gives high-quality result and shorter computation time compared with genetic algorithm. Conclusion: Using the PSO Algorithm with the Matlab-software, it is possible to identify all the necessary parameters of the mathematical models. },
journal = {American Journal of Engineering and Applied Sciences},
publisher = {Science Publications}
}