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A simplified theory of electroadhesion for rough interfaces
Citation Link: https://doi.org/10.15480/882.4055
Publikationstyp
Journal Article
Date Issued
2020-06-12
Sprache
English
Author(s)
Papangelo, Antonio
Institut
TORE-DOI
Volume
6
Start Page
1
End Page
9
Article Number
27
Citation
Frontiers in Mechanical Engineering 6: 27 1-9 (2020)
Publisher DOI
Scopus ID
Publisher
Frontiers Media
Electroadhesion is a very hot topic in tribology due to its implications for the science of surface haptics. Building on theories of Persson, we develop a simpler theory for electroadhesion between rough surfaces using the bearing area model of Ciavarella. The theory is derived for the cases of conducting and insulating bodies and shows that pull-off forces depend mostly on the applied voltage, the surface root mean square (RMS) height, and the longest wavelength in the surface representation. However, the real contact area and friction additionally depend on rms slopes and hence on truncation of the roughness spectrum. Two stickiness criteria are derived based on the present theory and on the energy balance proposed by Persson and Tosatti. The coefficient of friction decays with the normal pressure, tending to a plateau in a manner consistent with existing experiments.
Subjects
DMT model
Electroadhesion
JKR model
Roughness models
Soft matter
DDC Class
600: Technik
620: Ingenieurwissenschaften
Funding Organisations
Italian Ministry of Education, University and Research
More Funding Information
MC and AP acknowledge support from the Italian Ministry of Education, University and Research under the Programme Department of Excellence Legge 232/2016 (grant no. CUPD94I18000260001).
AP is thankful to the DFG (German Research Foundation) for funding the project PA 3303/1-1, and acknowledges support from PON Ricerca e Innovazione 2014-2020-Azione I.2 - D.D. n. 407, 27/02/2018, bando AIM(grant no. AIM1895471).
AP is thankful to the DFG (German Research Foundation) for funding the project PA 3303/1-1, and acknowledges support from PON Ricerca e Innovazione 2014-2020-Azione I.2 - D.D. n. 407, 27/02/2018, bando AIM(grant no. AIM1895471).
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