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Title: Investigation of relationship between interfacial electroadhesive force and surface texture
Authors: Guo, Jianglong
Tailor, Mitul
Bamber, Thomas
Chamberlain, Matthew R.
Justham, Laura M.
Jackson, Michael R.
Keywords: Electroadhesion
Surface texture
Issue Date: 2016
Publisher: © IOP Publishing Ltd
Citation: GUO, J. ...et al., 2016. Investigation of relationship between interfacial electroadhesive force and surface texture. Journal of Physics D: Applied Physics, 49, 035303.
Abstract: A novel investigation into the relationship between the obtainable interfacial electroadhesive forces and different surface textures is presented in this paper. Different surface textures were generated then characterized based on a recognized areal-based non-contact surface texture measurement platform and procedure. An advanced electroadhesive force measurement platform and procedure were then implemented to measure the obtainable electroadhesive forces on those different surface textures. The results show that the obtained interfacial electroadhesive forces increase with decreasing Sq (root mean square height) value of the substrate surface provided that the difference in Sq between the different substrates is over 5 μm. Also, the higher the applied voltage, the larger the relative increase in electroadhesive forces observed. However, when the difference of Sq value between different substrate surfaces is below 2 μm, the obtained interfacial electroadhesive forces do not necessarily increase with decreasing Sq. Furthermore, the obtainable electroadhesive forces are not necessarily the same when the Sq value of two substrate surfaces are the same due to the fact that the direction of the surface texture plays an important role in achieving electroadhesive forces.
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: 10.1088/0022-3727/49/3/035303
URI: https://dspace.lboro.ac.uk/2134/19574
Publisher Link: http://dx.doi.org/10.1088/0022-3727/49/3/035303
ISSN: 0022-3727
Appears in Collections:Published Articles (Mechanical, Electrical and Manufacturing Engineering)

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