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A novel methodology for intrinsic adhesion state sensing in gecko-inspired directional dry adhesives.

Authors :
Chen, Gen
Zhang, Zijian
Wu, Junsong
Zhang, Bolun
Chu, Zhongyi
Cui, Jing
Source :
Sensors & Actuators A: Physical. Aug2024, Vol. 374, pN.PAG-N.PAG. 1p.
Publication Year :
2024

Abstract

This paper introduces an innovative methodology designed for intrinsic sensing of the adhesion state in directional dry adhesives. Rooted in the inherent shear actuation requirements of these adhesives, the sensing framework incorporates an elastic beam model for a single seta and an equivalent spring model for setae arrays during actuation, facilitating the transformation of complex micro-scale contact issues into relatively simple mechanical measurements. Using microwedge adhesives as a representative case study, the methodology is validated by a series of quantitative experiments and an experimental robotic gripper scenario, in which a straightforward and cost-effective commercial strain gauge proves competent for complex contact state sensing. The proposed methodology indicates substantial implications for improving the operational performance and expanding the application range of gecko-inspired adhesive operations. [Display omitted] • A novel methodology for intrinsic adhesion state sensing in directional dry adhesives. • Mechanical models for both single seta and setae arrays during adhesive actuation. • Correlation between adhesion stiffness and contact area is analyzed and revealed. • Experimental validations encompassing quantitative tests and gripping tasks are performed. • Even a simple and cheap strain gauge is competent for complex contact state sensing. [ABSTRACT FROM AUTHOR]

Details

Language :
English
ISSN :
09244247
Volume :
374
Database :
Academic Search Index
Journal :
Sensors & Actuators A: Physical
Publication Type :
Academic Journal
Accession number :
177747505
Full Text :
https://doi.org/10.1016/j.sna.2024.115492