补偿(心理学)
压电
控制理论(社会学)
计算机科学
运动(物理)
工程类
控制工程
声学
人工智能
物理
精神分析
心理学
控制(管理)
作者
Tilok Kumar Das,Bijan Shirinzadeh,Ammar Al-Jodah,Mohammadali Ghafarian,Joshua Pinskier
标识
DOI:10.1016/j.mechmachtheory.2020.104069
摘要
With the advancement of technology, the demand for high precision micrograsping/releasing task is increasing. This paper presents a compliant piezoelectric actuated microgripper for precise positioning tasks. A parasitic motion minimization approach is adopted by the structural design of the microgripper. The over-constrained leaf flexure-based parallelogram mechanisms are accommodated with the displacement transmission and amplification mechanisms for achieving a linear output motion of the microgripper’s jaws. The microgripper utilizes a two-stage displacement transmission and amplification mechanism. Two lever-type mechanisms are symmetrically connected with the bridge-type mechanism to amplify the output displacement of the piezoelectric actuator. The microgripper design is optimized through the computational method to achieve high performance in terms of the low parasitic motion and large output displacement. The effect of the design parameters on the characteristics of the microgripper is investigated using the computational analysis and the experimental studies are conducted to verify the characteristics of the microgripper. The experimental results show that the microgripper has a low parasitic motion. Further, the microgripper achieves a high precision motion resolution.
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