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Lattice-Boltzmann and Eulerian Hybrid for Solid Burning Simulation

Department of Software, Sejong University, Seoul 05006, Korea
Adobe Research, San Jose, CA 95110, USA
Author to whom correspondence should be addressed.
Symmetry 2019, 11(11), 1405;
Received: 22 October 2019 / Revised: 4 November 2019 / Accepted: 11 November 2019 / Published: 14 November 2019
We propose a new hybrid simulation method to model burning solid interactions. Unlike gas fuel, fire and smoke interactions that have been relatively well studied in the past, simulations of solid fuel combustion processes remain largely unaddressed. These include pyrolysis/smoldering, interactions with oxygen and flow inside porous solid. To advance this simulation problem, we designed a new hybrid of the Lattice-Boltzmann method (LBM) and a Eulerian grid based Navier-Stokes equation (NSE). It uses the LBM, which has symmetrical directions of particle velocities in a cell, for inside the solid fuel and the NSE, which has a representative velocity in a cell, for outside the solid. At the interface where the two methods join, we develop a novel method to exchange physical quantities and show a natural transition between the two methods. Since LBM allows us to directly manage the quantity of exchanges from the microscopic perspective, that is, between lattice points, we can easily simulate the burning speed and the shape change of burning an inhomogeneous solid. Also, we derive an LBM version of the previously proposed porous Navier-Stokes equation to simulate gas flow inside the porous solid. In addition, we use the NS solver outside the solid where macroscopic behavior is much more dominant and, hence, LBM is less efficient than NS solver. Our results show us the physical stability and accuracy and visual realism. View Full-Text
Keywords: simulation; fire; heat; solid; combustion; Lattice-Boltzman; porosity simulation; fire; heat; solid; combustion; Lattice-Boltzman; porosity
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Jo, E.; Kim, B.; Song, O.-Y. Lattice-Boltzmann and Eulerian Hybrid for Solid Burning Simulation. Symmetry 2019, 11, 1405.

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