Loughborough University
Leicestershire, UK
LE11 3TU
+44 (0)1509 263171
Loughborough University

Loughborough University Institutional Repository

Please use this identifier to cite or link to this item: https://dspace.lboro.ac.uk/2134/25055

Title: Visualization methods for understanding the dynamic electroadhesion phenomenon
Authors: Bamber, Tom
Guo, Jianglong
Singh, Jagpal
Bigharaz, M.
Petzing, Jon N.
Bingham, P.A.
Justham, Laura
Penders, J.
Jackson, Michael R.
Keywords: Electroadhesion
Field visualization
Surface potential measurement
Dynamic electrostatic field distribution
Issue Date: 2017
Publisher: IOP Publishing
Citation: BAMBER, T. ... et al, 2017. Visualization methods for understanding the dynamic electroadhesion phenomenon. Journal of Physics D: Applied Physics, 50 (20), 205304 (8pp).
Abstract: 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.
Description: 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/
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. Also, the authors acknowledge support from the Innovate UK for this work under project reference 101549.
Version: Published
DOI: 10.1088/1361-6463/aa6be4
URI: https://dspace.lboro.ac.uk/2134/25055
Publisher Link: http://dx.doi.org/10.1088/1361-6463/aa6be4
ISSN: 0022-3727
Appears in Collections:Published Articles (Mechanical, Electrical and Manufacturing Engineering)

Files associated with this item:

File Description SizeFormat
IoP.pdfPublished version11.52 MBAdobe PDFView/Open

 

SFX Query

Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.