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Title: Optimization and experimental verification of coplanar interdigital electroadhesives
Authors: Guo, Jianglong
Bamber, Tom
Chamberlain, Matthew R.
Justham, Laura M.
Jackson, Michael R.
Keywords: Electroadhesion
Experimental validation
Interdigital electroadhesive
Optimization modelling
Issue Date: 2016
Publisher: IOP Publishing © the authors
Citation: GUO, J. ... et al., 2016. Optimization and experimental verification of coplanar interdigital electroadhesives. Journal of Physics D: Applied Physics, 49 (41), 18pp.
Abstract: A simplified and novel theoretical model for coplanar interdigital electroadhesives has been presented in this paper. The model has been verified based on a mechatronic and reconfigurable testing platform, and a repeatable testing procedure. The theoretical results have shown that, for interdigital electroadhesive pads to achieve the maximum electroadhesive forces on non-conductive substrates, there is an optimum electrode width/space between electrodes (width/space) ratio, approximately 1.8. On conductive substrates, however, the width/space ratio should be as large as possible. The 2D electrostatic simulation results have shown that, the optimum ratio is significantly affected by the existence of the air gap and substrate thickness variation. A novel analysis of the force between the electroadhesive pad and the substrate has highlighted the inappropriateness to derive the normal forces by the division of the measured shear forces and the friction coefficients. In addition, the electroadhesive forces obtained in a 5 d period in an ambient environment have highlighted the importance of controlling the environment when testing the pads to validate the models. Based on the confident experimental platform and procedure, the results obtained have validated the theoretical results. The results are useful insights for the investigation into environmentally stable and optimized electroadhesives.
Description: Original content from this work may be used under the terms of the Creative Commons Attribution 3.0 licence. Any further distribution of this work must maintain attribution to the author(s) and the title of the work, journal citation and DOI.
Sponsor: The authors acknowledge support from the EPSRC Centre for Innovative Manufacturing in Intelligent Automation, in undertaking this research work under grant reference number EP/IO33467/1.
Version: Published
DOI: 10.1088/0022-3727/49/41/415304
URI: https://dspace.lboro.ac.uk/2134/22556
Publisher Link: http://dx.doi.org/10.1088/0022-3727/49/41/415304
ISSN: 1361-6463
Appears in Collections:Published Articles (Mechanical, Electrical and Manufacturing Engineering)

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