Literature DB >> 28812091

Influence of surface tension in the surfactant-driven fracture of closely-packed particulate monolayers.

Christian Peco1, Wei Chen2, Yingjie Liu1, M M Bandi3, John E Dolbow1, Eliot Fried2.   

Abstract

A phase-field model is used to capture the surfactant-driven formation of fracture patterns in particulate monolayers. The model is intended for the regime of closely-packed systems in which the mechanical response of the monolayer can be approximated as that of a linearly elastic solid. The model approximates the loss in tensile strength of the monolayer with increasing surfactant concentration through the evolution of a damage field. Initial-boundary value problems are constructed and spatially discretized with finite element approximations to the displacement and surfactant damage fields. A comparison between model-based simulations and existing experimental observations indicates a qualitative match in both the fracture patterns and temporal scaling of the fracture process. The importance of surface tension differences is quantified by means of a dimensionless parameter, revealing thresholds that separate different regimes of fracture. These findings are supported by newly performed experiments that validate the model and demonstrate the strong sensitivity of the fracture pattern to differences in surface tension.

Entities:  

Year:  2017        PMID: 28812091     DOI: 10.1039/c7sm01245d

Source DB:  PubMed          Journal:  Soft Matter        ISSN: 1744-683X            Impact factor:   3.679


  2 in total

1.  Phase-field modeling of constrained interactive fungal networks.

Authors:  F Ghanbari; F Costanzo; D P Hughes; C Peco
Journal:  J Mech Phys Solids       Date:  2020-09-19       Impact factor: 5.471

2.  Quantitative imaging of the complexity in liquid bubbles' evolution reveals the dynamics of film retraction.

Authors:  Biagio Mandracchia; Zhe Wang; Vincenzo Ferraro; Massimiliano Maria Villone; Ernesto Di Maio; Pier Luca Maffettone; Pietro Ferraro
Journal:  Light Sci Appl       Date:  2019-01-30       Impact factor: 17.782

  2 in total

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