Literature DB >> 15533399

Roughness models for particle adhesion.

Sean Eichenlaub1, Anne Gelb, Steve Beaudoin.   

Abstract

The effects of different surface roughness models on a previously developed van der Waals adhesion model were examined. The van der Waals adhesion model represented surface roughness with a distribution of hemispherical asperities. It was found that the constraints used to define the asperity distribution on the surface, which were determined from AFM scans, varied with scan size and thus were not constant for all surfaces examined. The greatest variation in these parameters occurred with materials that had large asperities or with materials where a large fraction of the surface was covered by asperities. These rough surfaces were modeled with fractals and also with a fast Fourier transform algorithm. When the model surfaces generated using the Fourier transforms are used in the adhesion model, the model accurately predicts the experimentally observed adhesion forces measured with the AFM.

Entities:  

Year:  2004        PMID: 15533399     DOI: 10.1016/j.jcis.2004.08.017

Source DB:  PubMed          Journal:  J Colloid Interface Sci        ISSN: 0021-9797            Impact factor:   8.128


  3 in total

Review 1.  Theoretical models for surface forces and adhesion and their measurement using atomic force microscopy.

Authors:  Fabio L Leite; Carolina C Bueno; Alessandra L Da Róz; Ervino C Ziemath; Osvaldo N Oliveira
Journal:  Int J Mol Sci       Date:  2012-10-08       Impact factor: 5.923

2.  Adhesion force mapping on wood by atomic force microscopy: influence of surface roughness and tip geometry.

Authors:  X Jin; B Kasal
Journal:  R Soc Open Sci       Date:  2016-10-19       Impact factor: 2.963

3.  Heteroaggregation of microparticles with nanoparticles changes the chemical reversibility of the microparticles' attachment to planar surfaces.

Authors:  Chongyang Shen; Lei Wu; Shiwen Zhang; Huichun Ye; Baoguo Li; Yuanfang Huang
Journal:  J Colloid Interface Sci       Date:  2014-01-31       Impact factor: 8.128

  3 in total

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