Lattice-Gas Automata Methods for Engineering

Biggs, Mark J.; Humby, S.

doi:10.1205/026387698524730

Cited by 16 publications

(7 citation statements)

References 102 publications

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“…Sub-volumes are grouped as micro blocks in to various sizes. The following for sub-volume sizes, (4,4,4), (6,4,4), (12,4,4) and (29,4,4), were used in the simulations. The nodes in the sub-volume is defined as Keeping the ∆T at 0.015, 0.0165, 0.0175 and 0.0185, various sub-volume sizes were analysed.…”

Section: Effect Of Sub-volume Sizementioning

confidence: 99%

“…This will also enable us to verify the accuracy of previous simulation results. For each of the sub-volume size (4, 4, 4), (6,4,4), (12,4,4), (29, 4, 4) simulations were carried out with different ∆T values. Viscosity fluctuation as a function of temperature difference (∆T) range is plotted in figure 6.…”

Section: Effect Of Temperature Difference (∆T)mentioning

confidence: 99%

“…Many different models of fluid transport in porous media have been described in the literature [1][2]. Lattice-gas automata based explicit numerical simulation (ENS) tool has been used to simulate many different flow situations [3][4][5][6] and this technique solve microscopic equations for moving and interacting fluid particles on a discrete lattice. A range of applications where higher speed flows through porous system and transitions between the different flow regimes and identifying the heat and mass transfer characteristics are important in the above mentioned industrial process.…”

Section: Introductionmentioning

confidence: 99%

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Study of fluid flow simulation and the influence of model control parameters using ENS method

Lakshmanan¹,

Easson²

2015

IJBAS

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Flow in porous media is of considerable interest in many areas of engineering and science including water and pollutant flow in soils, water flow in geothermal reservoirs and flows through packed bed reactors. A three-speed Galileaninvariant LGA (GI-LGA) method has been applied to accurately describe the hydrodynamic behaviour. Influence of sub-volume size and temperature difference on viscosity is investigated in this present study. Fluid dynamics experiments such as flow between parallel plates and flow past a circular cylinder is studied; flow between two flat plates demonstrated the expected fluid dynamic behaviour and flow around a cylinder compared well with literature results in measurement of the drag coefficient.

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Section: Effect Of Sub-volume Sizementioning

confidence: 99%

Section: Effect Of Temperature Difference (∆T)mentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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Study of fluid flow simulation and the influence of model control parameters using ENS method

Lakshmanan¹,

Easson²

2015

IJBAS

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“…Despite the success of the LGM (Biggs and Humby, 1998;Rivet and Boon, 2001), there are a number of difficulties in applying the LGM and this has lead to the development of the LBM. Below a number of these problems and their solution in the LBM are briefly considered, with particular attention to the simulations presented here and the work of Horiguchi et al (2003) (HTY).…”

Section: Numerical Modelmentioning

confidence: 99%

Numerical simulation of the flow field in the mixing section of a screw extruder by the lattice Boltzmann model

Buick

Cosgrove

2006

Chemical Engineering Science

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The single-screw extruder is commonly used in polymer processing where the performance of the mixing section is significant in determining the quality of the final product. It is therefore of great interest to simulate the flow field in a single-screw extruder. In this paper the simulation is performed using the lattice Botlzmann model giving a fast and efficient numerical technique. The solution is compared to a finite difference and lattice gas simulation and found to give more accurate results. ᭧

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“…2) Lattice gas automaton is known as having advantage to complex fluids modeling capability, treatment of flexible boundary condition, and high parallelism in calculation for which usual CFD code mostly fails. But as for the applications of LGA to engineering, it was demonstrated by the survey of Biggs et al 3) that far more work is required before it is suitable for general use. Nevertheless, recently, there has been studied a number of engineering applications of LGA concerned with immiscible lattice-gas (ILG) model proposed by Rothman and Keller.…”

Section: Introductionmentioning

confidence: 99%

Lattice Gas Automaton Scheme with Stochastic Particle Movement for a Rotated Fluid Flow

Ishiguro

2002

Journal of Nuclear Science and Technology

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Lattice gas automaton (LGA) models developed so far are just for Cartesian geometries, and no direct approach to rotated fluid flows is found. In this paper, LGA method is applied to model a two-dimensional rotated flow. Several problems specific to the rotated flow are to be solved: hexagonal lattice geometry to effectively identify the neighbors, boundary condition for irregular walls, multi-speed scheme to represent angular-oriented fluid velocity v θ ∼ =rω, shape of macroscopic domain for statistics, formula to obtain macroscopic quantities such as density and mean fluid velocities, application method of Fermi-Dirac function to the initial particle arrangement. For this purpose, FHP-I type hexagonal lattice model is revised and a new LGA model with stochastic particle movement is proposed. The results of the trial calculation are shown. It is also investigated whether or not the underlying microscopic Boolean equations newly introduced leads to Navier-Stokes equation.

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Lattice-Gas Automata Methods for Engineering

Cited by 16 publications

References 102 publications

Study of fluid flow simulation and the influence of model control parameters using ENS method

Study of fluid flow simulation and the influence of model control parameters using ENS method

Numerical simulation of the flow field in the mixing section of a screw extruder by the lattice Boltzmann model

Lattice Gas Automaton Scheme with Stochastic Particle Movement for a Rotated Fluid Flow

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