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A weak-inertia mathematical model of bubble growth in a polymer foam

Barlow, Euan and Bradley, Aoibhinn M. and Mulholland, Anthony J. and Torres-Sanchez, Carmen (2017) A weak-inertia mathematical model of bubble growth in a polymer foam. Journal of Non-Newtonian Fluid Mechanics, 244. pp. 1-14. ISSN 0377-0257

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Abstract

One possible manufacturing method for bone scaffolds used in regenerative medicine involves the acoustic irradiation of a reacting polymer foam to generate a graded porosity. This paper derives a mathematical model of a non-reacting process in order to develop theoretical confirmation of the influence of the acoustic signal on the polymer foam. The model describes single bubble growth in a free rising, non-reacting polymer foam irradiated by an acoustic standing wave and incorporates the effects of inertia. Leading and first order asymptotic inner solutions in the temporal domain (early growth) are presented for the case of instantaneous diffusion when the fluid volume surrounding the bubble is large compared to the bubble volume. The leading order asymptotic outer solution (late growth), for the case of instantaneous diffusion, is described analytically using the Picard iteration method. Initial conditions for this outer solution are identified through matching with the asymptotic inner solution. A numerical solution for the leading order outer equation is also presented. Investigations are carried out to explore the influence of inertia on the bubble volume, fluid pressure and the stress tensors of the foam, and to explore the effect of fluid viscosity and acoustic pressure amplitude on the final bubble volume, and the curing time. A key result is that increasing the applied acoustic pressure is shown to result in a reduced steady state bubble volume, indicating that ultrasonic irradiation has the potential to produce tailored porosity profiles in bioengineering scaffolds.

Item type: Article
ID code: 60390
Keywords: bubble growth, polymeric foam, oldroyd-B fluid, analytic solution, inertia, Mechanical engineering and machinery, Probabilities. Mathematical statistics, Mathematical Physics, Polymers and Plastics, Applied Mathematics, Mechanical Engineering
Subjects: Technology > Mechanical engineering and machinery
Science > Mathematics > Probabilities. Mathematical statistics
Department: Faculty of Science > Mathematics and Statistics
Strathclyde Business School > Management Science
Depositing user: Pure Administrator
Date deposited: 04 Apr 2017 09:03
Last modified: 05 Nov 2018 00:28
Related URLs:
URI: https://strathprints.strath.ac.uk/id/eprint/60390
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