On the Simulations of Thermal Liquid Foams Using Lattice Boltzmann Method

Mobarak MM, Gatternig B, Delgado A (2023)


Publication Language: English

Publication Type: Journal article

Publication year: 2023

Journal

Book Volume: 16

Article Number: 195

Journal Issue: 1

DOI: 10.3390/en16010195

Open Access Link: https://www.mdpi.com/1996-1073/16/1/195

Abstract

Liquid foams exist in a wide variety of chemical and industrial processes, and they can contaminate the end-product and cause time and economical losses. Understanding and simulating foam is not a straightforward task, due to the highly dispersed time and length scales where the physical phenomena occur. Surfactants’ or proteins’ length scales are far beyond the capability of macroscopic and even mesoscopic numerical fluid solvers, yet the macroscales are still required to be resolved. Meanwhile, the lattice Boltzmann method (LBM) has gained much attention and success as a mesoscopic approach which can deal with complex multiphase multicomponent systems. The aim of this study is to implement LBM to simulate liquid foams while considering the accompanying thermal effects. A coupled multiphase multicomponent thermal flow model and its selected add-ons from the literature are tuned and explained, limitations and future suggestions are fairly discussed. Validations and a final study case are shown as an example for the proposed model and its applicability in thermal liquid foams. Finally, a delicate treatment to back couple the effect of temperature on the surface tension is proposed, hence considering one aspect of the Marangoni effect. Initial results show promising behavior, which can be material for future investigations.

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How to cite

APA:

Mobarak, M.M., Gatternig, B., & Delgado, A. (2023). On the Simulations of Thermal Liquid Foams Using Lattice Boltzmann Method. Energies, 16(1). https://dx.doi.org/10.3390/en16010195

MLA:

Mobarak, Mohammad Mobarak, Bernhard Gatternig, and Antonio Delgado. "On the Simulations of Thermal Liquid Foams Using Lattice Boltzmann Method." Energies 16.1 (2023).

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