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Visualization methods for understanding the dynamic electroadhesion phenomenon

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journal contribution
posted on 19.05.2017, 08:23 by Thomas Bamber, Jianglong Guo, Jagpal Singh, M. Bigharaz, Jon Petzing, Paul A. Bingham, Laura Justham, Jacques Penders, Michael Jackson
Experimental investigation into the surface potential and electric field visualization of an electroadhesion system is presented for understanding the dynamic electroadhesion phenomenon. The indirect experimental approach has been based on measuring surface potentials on the surface of an electroadhesive pad by an electrostatic voltmeter. The direct approach has been based on charging and discharging the electroadhesive pad in a viscous oil mixed with lightweight particles. The visualization of the dynamic field distribution of electroadhesive pads can be a useful method to understand the dynamic electroadhesion phenomenon. In addition, indication of different field distributions of different pad geometries can be obtained through the method demonstrated here. Furthermore, the method is useful for instructors or lecturers to showcase or teach the dynamic electroadhesion phenomenon.

Funding

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. Also, the authors acknowledge support from the Innovate UK for this work under project reference 101549.

History

School

  • Mechanical, Electrical and Manufacturing Engineering

Published in

Journal of Physics D: Applied Physics

Volume

50

Issue

20

Pages

205304 - 205304

Citation

BAMBER, T. ... et al, 2017. Visualization methods for understanding the dynamic electroadhesion phenomenon. Journal of Physics D: Applied Physics, 50 (20), 205304 (8pp).

Publisher

IOP Publishing

Version

VoR (Version of Record)

Publisher statement

This work is made available according to the conditions of the Creative Commons Attribution 3.0 Unported (CC BY 3.0) licence. Full details of this licence are available at: http://creativecommons.org/licenses/by/3.0/

Publication date

2017

Notes

This is an Open Access Article. It is published by IOP Publishing under the Creative Commons Attribution 3.0 Unported Licence (CC BY). Full details of this licence are available at: http://creativecommons.org/licenses/by/3.0/

ISSN

0022-3727

eISSN

1361-6463

Language

en

Licence

Exports