DocumentCode :
3575843
Title :
Dry adhesion optimization design for a wall-climbing robot based on experiment
Author :
Yanheng Liu ; Myeongseok Shin ; Kyungmin Jeong ; TaeWon Seo
Author_Institution :
Sch. of Mech. Eng., Yeungnam Univ., Gyeongsan, South Korea
fYear :
2014
Firstpage :
216
Lastpage :
219
Abstract :
In this paper, the results of a study on the optimal footpad design for vertical climbing on acrylic surface with various curvatures used Taguchi method is presented. For a climbing robot, the adhesion system plays an important role in the climbing process. Only an appropriate adhesion strength will prevent the robot from falling and allow it to climb normally. Therefore, the footpad is a significant parameter for a climbing robot and should be studied. Taguchi method was used to obtain a robust optimal design, where the design variables were the flat tacky elastomeric shape, area, thickness, and foam thickness of the footpad. Experiments were conducted using acrylic surface with various curvatures. An optimized footpad was selected based on the results of the experiments and analysis, and the stability of the wall-climbing robot was verified.
Keywords :
Taguchi methods; adhesion; design engineering; mobile robots; walls; Taguchi method; acrylic surface; adhesion strength; dry adhesion optimization design; flat tacky elastomeric shape; foam thickness; optimal footpad design; robust optimal design; wall-climbing robot; Adhesives; Arrays; Climbing robots; Optimization; Rough surfaces; Shape; Dry adhesion; optimization design; wall-climbing robot;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Ubiquitous Robots and Ambient Intelligence (URAI), 2014 11th International Conference on
Type :
conf
DOI :
10.1109/URAI.2014.7057435
Filename :
7057435
Link To Document :
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