A simple lattice Boltzmann scheme for combustion simulation

Chen, Sheng; Liu, Zhaohui; Tian, Zhilong; Shi, Baochang; Chen, Zheng

doi:10.1016/j.camwa.2007.08.020

Cited by 39 publications

(34 citation statements)

References 21 publications

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“…With this method it is possible to incorporate complex spatial structures in the simulation domain. The features of the method range from single phase, single component flow [16,17] to multi component [18,19,20,21] and/or multi phase configurations [18,22,23,24]. Sophisticated data structures and algorithms can be included [25,26] as well as extended boundary conditions [27,22,28].…”

Section: Introductionmentioning

confidence: 99%

3D analysis, modeling and simulation of transport processes in compressed fibrous microstructures, using the Lattice Boltzmann method

Froning

Brinkmann

Reimer

et al. 2013

Electrochimica Acta

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In this paper we combine a stochastic 3D microstructure model of a fiber based gas diffusion layer of polymer electrolyte fuel cells with a Lattice Boltzmann model for fluid transport. We focus on a simple approach of compressing the planar oriented virtual geometry of paper-type gas diffusion layer from Toray. Material parameters -permeability and tortuosity -are calculated from simulation of one phase, one component gas flow in stochastic geometries. We analyze the statistical spread of simulation results on ensembles of the virtual geometry, both uncompressed and compressed. The influence of the compression is discussed with regard to the Kozeny-Carman equation. The effective transport properties calculated from transport simulations in compressed gas diffusion layers agree well with a trend based on the Kozeny-Carman equation.

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Section: Introductionmentioning

confidence: 99%

3D analysis, modeling and simulation of transport processes in compressed fibrous microstructures, using the Lattice Boltzmann method

Froning

Brinkmann

Reimer

et al. 2013

Electrochimica Acta

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“…Due to the importance of combustion phenomena, one can find a number of LB papers in literature [50][51][52][53][54][55][56][57][58][59][60][61][62][63][64][65][66][67]. The pioneering LB model for combustion systems was given by Succi et al [50] in 1997.…”

Section: Introductionmentioning

confidence: 99%

“…Lee et al [58] presented a DoubleDistribution Function LB model to solve the laminar diffusion flames within the context of Burke-Schumann flame sheet model. In recent years Chen et al [60,61] developed a coupled LB method for the low Mach number combustion and presented some meaningful results [62][63][64][65][66][67].…”

Section: Introductionmentioning

confidence: 99%

Multiple-relaxation-time lattice Boltzmann kinetic model for combustion

et al. 2015

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To probe both the Hydrodynamic Non-Equilibrium (HNE) and Thermodynamic NonEquilibrium (TNE) in the combustion process, a two-dimensional Multiple-Relaxation-Time (MRT) version of Lattice Boltzmann Kinetic Model(LBKM) for combustion phenomena is presented. The chemical energy released in the progress of combustion is dynamically coupled into the system by adding a chemical term to the LB kinetic equation. Beside describing the evolutions of the conserved quantities, the density, momentum and energy, which are what the Navier-Stokes model describes, the MRT-LBKM presents also a coarse-grained description on the evolutions of some non-conserved quantities. The current model works for both subsonic and supersonic flows with or without chemical reaction. In this model both the specific-heat ratio and the Prandtl number are flexible, the TNE effects are naturally presented in each simulation step. The model is verified and validated via well-known benchmark tests. As an initial application, various non-equilibrium behaviours, including the complex interplays between various HNEs, between various TNEs and between the HNE and TNE, around the detonation wave in the unsteady and steady one-dimensional detonation processes are preliminarily probed. It is found that the system viscosity (or heat conductivity) decreases the local TNE, but increase the global TNE around the detonation wave, that even locally, the system viscosity (or heat conductivity) results in two kinds of competing trends, to increase and to decrease the TNE effects. The physical reason is that the viscosity (or heat conductivity) takes part in both the thermodynamic and hydrodynamic responses.

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“…A vast range of important systems involves the coupled dynamics of reactions, heat transfer and convection (e.g., Andres and Cardoso [100], Rogers and Morris [101]). One of the most common applications of thermal RLBMs (TRLBMs) has been for problems of combustion [28][29][30][77][78][79]. This section will present a simple approach to relaxing the isothermal assumption of the RLBM, beginning with thermal rate constants and moving on to enthalpy changes.…”

Section: Thermal Reactive Lbmmentioning

confidence: 99%

“…This allows multi-phase and multi-component fluids to be simulated [19][20][21][22]. Versions in recent years have developed yet further and incorporated a range of interactions between these additional components, advancing the LBM into the realm of chemistry [23][24][25][26][27], including thermal chemical problems such as combustion [28][29][30][31].…”

Section: Introductionmentioning

confidence: 99%

A Non-Isothermal Chemical Lattice Boltzmann Model Incorporating Thermal Reaction Kinetics and Enthalpy Changes

Bartlett

2017

Computation

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Abstract:The lattice Boltzmann method is an efficient computational fluid dynamics technique that can accurately model a broad range of complex systems. As well as single-phase fluids, it can simulate thermohydrodynamic systems and passive scalar advection. In recent years, it also gained attention as a means of simulating chemical phenomena, as interest in self-organization processes increased. This paper will present a widely-used and versatile lattice Boltzmann model that can simultaneously incorporate fluid dynamics, heat transfer, buoyancy-driven convection, passive scalar advection, chemical reactions and enthalpy changes. All of these effects interact in a physically accurate framework that is simple to code and readily parallelizable. As well as a complete description of the model equations, several example systems will be presented in order to demonstrate the accuracy and versatility of the method. New simulations, which analyzed the effect of a reversible reaction on the transport properties of a convecting fluid, will also be described in detail. This extra chemical degree of freedom was utilized by the system to augment its net heat flux. The numerical method outlined in this paper can be readily deployed for a vast range of complex flow problems, spanning a variety of scientific disciplines.

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A simple lattice Boltzmann scheme for combustion simulation

Cited by 39 publications

References 21 publications

3D analysis, modeling and simulation of transport processes in compressed fibrous microstructures, using the Lattice Boltzmann method

3D analysis, modeling and simulation of transport processes in compressed fibrous microstructures, using the Lattice Boltzmann method

Multiple-relaxation-time lattice Boltzmann kinetic model for combustion

A Non-Isothermal Chemical Lattice Boltzmann Model Incorporating Thermal Reaction Kinetics and Enthalpy Changes

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