1998
DOI: 10.1137/s0036139996311060
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Skinning During Desorption of Polymers: An Asymptotic Analysis

Abstract: Abstract. Desorption of saturated polymers can be inhibited if a nearly dry (glassy) skin with a low diffusion coefficient forms at the exposed surface. In addition, trapping skinning can occur, where an increase in the force driving the desorption decreases the accumulated flux desorbed. The dynamics of such systems cannot be described by the simple Fickian diffusion equation. The mathematical model presented is a moving boundary-value problem with a set of two coupled partial differential equations. Most pre… Show more

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Cited by 5 publications
(11 citation statements)
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“…Because of the relationship between σ and C, we also need layers for the pseudostress. The solutions for σ exhibit maxima for x near but less than s(t), which is consistent with a buildup in stress as the polymer changes states [44][45][46][47]. At x = s(t), a Stefan-like condition was derived to couple the two operators.…”
Section: Discussionsupporting
confidence: 52%
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“…Because of the relationship between σ and C, we also need layers for the pseudostress. The solutions for σ exhibit maxima for x near but less than s(t), which is consistent with a buildup in stress as the polymer changes states [44][45][46][47]. At x = s(t), a Stefan-like condition was derived to couple the two operators.…”
Section: Discussionsupporting
confidence: 52%
“…Note there is an internal maximum in the pseudostress associated with the change of state from rubber to glass. This maximum has been seen in other theoretical [44][45][46] and experimental [47] studies of these types of systems.…”
Section: Since (33) Does Not Satisfy (212a) There Must Also Be An supporting
confidence: 60%
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“…Our equations are the same, to leading order, as those for general polymer-penetrant systems derived in detail by Edwards and Cohen [24], [25], Edwards [26], Cairncross and Durning [8], Durning [27], and Durning and Tabor [28]. These models, which are presented in section 2, consist of a set of coupled PDEs for the concentration and stress.…”
Section: Introductionmentioning
confidence: 96%