Literature DB >> 30478207

Mechanism of memory effect of paste which dominates desiccation crack patterns.

Akio Nakahara1, Tomoki Hiraoka2, Rokuya Hayashi2, Yousuke Matsuo2, So Kitsunezaki3.   

Abstract

When a densely packed colloidal suspension, called a paste, behaves as plastic fluid, it can remember the direction of its motion it has experienced, such as vibrational motion and flow. These memories kept in paste can be visualized as the morphology of crack patterns that appear when the paste is dried. For example, when a paste remembers the direction of vibrational motion, all primary desiccation cracks propagate in the direction perpendicular to the direction of the vibrational motion that the paste has experienced. On the other hand, when a paste remembers the direction of flow motion, all primary cracks propagate along the flow direction. To find out the mechanism of memory effect of vibration, we perform experiments to rewrite memory in paste by applying additional vibration to the paste along a different direction before the paste is dried. By investigating the process of rewriting memory in paste, we find the competitive phenomena between quasi-linear effect and nonlinear effect, which were studied in each theoretical model based on residual tension theories. That is, at the initial stage of the memory-imprinting process of the vibrational motion, the mechanism predicted by the quasi-linear analysis based on residual tension theory holds, but, as the paste is vibrated repeatedly, the mechanism shown by the nonlinear analysis gradually come to play a dominant role in the memory effect.This article is part of the theme issue 'Statistical physics of fracture and earthquakes'.
© 2018 The Author(s).

Entities:  

Keywords:  colloidal suspension; control of crack pattern; desiccationcracks; memory effect; plastic fluid

Year:  2018        PMID: 30478207      PMCID: PMC6282403          DOI: 10.1098/rsta.2017.0395

Source DB:  PubMed          Journal:  Philos Trans A Math Phys Eng Sci        ISSN: 1364-503X            Impact factor:   4.226


  14 in total

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Authors:  Akio Nakahara; Yousuke Matsuo
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Authors:  Ooshida Takeshi
Journal:  Phys Rev E Stat Nonlin Soft Matter Phys       Date:  2008-06-03

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Authors:  Anh Tu Ngo; Johannes Richardi; Marie Paule Pileni
Journal:  J Phys Chem B       Date:  2008-07-30       Impact factor: 2.991

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Authors:  Tajkera Khatun; Tapati Dutta; Sujata Tarafdar
Journal:  Langmuir       Date:  2013-12-05       Impact factor: 3.882

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Authors:  Hiroshi Nakayama; Yousuke Matsuo; Ooshida Takeshi; Akio Nakahara
Journal:  Eur Phys J E Soft Matter       Date:  2013-01-11       Impact factor: 1.890

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Authors:  Hisay Lama; Venkateshwar Rao Dugyala; Madivala G Basavaraj; Dillip K Satapathy
Journal:  Phys Rev E       Date:  2016-07-25       Impact factor: 2.529

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  2 in total

1.  Statistical physics of fracture and earthquakes.

Authors:  Soumyajyoti Biswas; Lucas Goehring; Bikas K Chakrabarti
Journal:  Philos Trans A Math Phys Eng Sci       Date:  2018-11-26       Impact factor: 4.226

2.  Crack formation during solid pyrolysis: evolution, pattern formation and statistical behaviour.

Authors:  Yen T Nguyen; Thomas J Pence; Indrek S Wichman
Journal:  Proc Math Phys Eng Sci       Date:  2019-09-11       Impact factor: 2.704

  2 in total

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