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https://doi.org/10.15480/882.4055
Publisher DOI: | 10.3389/fmech.2020.00027 | Title: | A simplified theory of electroadhesion for rough interfaces | Language: | English | Authors: | Ciavarella, Michele Papangelo, Antonio |
Keywords: | DMT model; Electroadhesion; JKR model; Roughness models; Soft matter | Issue Date: | 12-Jun-2020 | Publisher: | Frontiers Media | Source: | Frontiers in Mechanical Engineering 6: 27 1-9 (2020) | Abstract (english): | 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. |
URI: | http://hdl.handle.net/11420/10846 | DOI: | 10.15480/882.4055 | ISSN: | 2297-3079 | Journal: | Frontiers in mechanical engineering | Institute: | Strukturdynamik M-14 | Document Type: | Article | Project: | Untersuchung und Anwendung komplexer, nichtlinearer, dynamischer Zustände in reiberregten mechanischen Systemen | Funded by: | Italian Ministry of Education, University and Research Deutsche Forschungsgemeinschaft (DFG) |
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). | License: | ![]() |
Appears in Collections: | Publications with fulltext |
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