scholarly journals Phase separation of incompressible binary fluids with lattice Boltzmann methods

2004 ◽  
Vol 331 (1-2) ◽  
pp. 10-22 ◽  
Author(s):  
Aiguo Xu ◽  
G. Gonnella ◽  
A. Lamura
Keyword(s):  
Phase Separation ◽  
Lattice Boltzmann ◽  
Binary Fluids ◽  
Lattice Boltzmann Methods ◽  
Incompressible Binary Fluids

Lattice Boltzmann Method for Simulating Phase Separation of Sheared Binary Fluids with Reversible Chemical Reaction

2017 ◽  
Vol 10 (3) ◽  
pp. 656-670 ◽  
Author(s):  
Xiaoyu Wang ◽  
Jie Ouyang ◽  
Heng Yang ◽  
Jianwei Liu
Keyword(s):  
Phase Separation ◽  
Lattice Boltzmann Method ◽  
Chemical Reaction ◽  
Lattice Boltzmann ◽  
Finite Size ◽  
Reaction Rates ◽  
Growth Exponent ◽  
Binary Fluids ◽  
Reversible Chemical Reaction ◽  
Boltzmann Method

AbstractA lattice Boltzmann method is utilized for governing equations which control phase separation of binary fluids with reversible chemical reaction in presence of a shear flow in this paper. We first present the morphology modeling of sheared binary fluids with reversible chemical reaction. We then validate the model by taking the unsheared binary fluids as an example. It is found that the results fit well with the references. The paper shows structures of the sheared system and gives the detailed analysis for the morphology of sheared binary fluids with reversible chemical reaction. The phase separation of the domain structures with different chemical reaction rates is discussed. Through simulations of the sheared binary fluids, two interesting phenomena are observed, which do not exist in a binary mixture without reversible chemical reaction. One is that the same results appear in both low and high viscosity, and the other is that the domain growth exponent with both low and high viscosities presents wave due to the competition of the viscosity and phase separation. In addition, we find that the finite size effects resulting in the growth exponent decreasing appear faster than that of the unsheared blend at a large time when the size of domains is comparable with the lattice size.

Towards shape optimisation of fluid flows using lattice Boltzmann methods and automatic differentiation

2021 ◽  
Vol 90 ◽  
pp. 46-54
Author(s):  
Asher Zarth ◽  
Fabian Klemens ◽  
Gudrun Thäter ◽  
Mathias J. Krause
Keyword(s):  
Lattice Boltzmann ◽  
Automatic Differentiation ◽  
Fluid Flows ◽  
Shape Optimisation ◽  
Lattice Boltzmann Methods

scholarly journals Kinetics of phase separation in thermally isolated critical binary fluids

2021 ◽  
Vol 103 (6) ◽  
Author(s):  
James P. Donley
Keyword(s):  
Phase Separation ◽  
Binary Fluids ◽  
Kinetics Of

Indoor air flow analysis based on lattice Boltzmann methods

2002 ◽  
Vol 34 (9) ◽  
pp. 941-949 ◽  
Author(s):  
B Crouse ◽  
M Krafczyk ◽  
S Kühner ◽  
E Rank ◽  
C van Treeck
Keyword(s):  
Indoor Air ◽  
Lattice Boltzmann ◽  
Air Flow ◽  
Flow Analysis ◽  
Lattice Boltzmann Methods ◽  
Indoor Air Flow

Simulations of Synaptic Transmission Using Lattice Boltzmann Methods

2002 ◽  
Author(s):  
Mehrak Mahmoudi ◽  
Piroz Zamankhan ◽  
William Polashenski
Keyword(s):  
Central Nervous System ◽  
Nervous System ◽  
Theoretical Model ◽  
Lattice Boltzmann ◽  
Chemical Substance ◽  
Human Central Nervous System ◽  
Lattice Boltzmann Methods ◽  
Nerve Impulses ◽  
System A ◽  
The Central Nervous System

The nervous system remains one of the least understood biological structures due in large part to the enormous complexity of this organ. A theoretical model for the transfer of nerve impulses would be valuable for the analysis of various phenomena in the nervous system, which are difficult to study by experiments. The central nervous system is composed of more than 100 billion neurons, through which information is transmitted via nerve impulses. Nerve impulses are not immediately apparent since each impulse may be blocked during transmission, changed from a single impulse into repetitive impulse, or integrated with impulses from other neurons to form highly intricate patterns. In the human central nervous system, a neuron secretes a chemical substance called a neurotransmitter at the synapse, and this transmitter in turn acts on another neuron to cause excitation, inhibition, or some other modification of its sensitivity.

scholarly journals Towards a hybrid parallelization of lattice Boltzmann methods

2009 ◽  
Vol 58 (5) ◽  
pp. 1071-1080 ◽  
Author(s):  
Vincent Heuveline ◽  
Mathias J. Krause ◽  
Jonas Latt
Keyword(s):  
Lattice Boltzmann ◽  
Lattice Boltzmann Methods ◽  
Hybrid Parallelization
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