Comparison of the rheological behavior of particulate suspensions in power-law and Newtonian fluids by combined improved smoothed profile-lattice Boltzmann methods

2021 ◽  
Vol 33 (3) ◽  
pp. 293-306
Author(s):  
Hamideh Rouhani Tazangi ◽  
Ataallah Soltani Goharrizi ◽  
Ebrahim Jahanshahi Javaran
Keyword(s):  
Power Law ◽  
Rheological Behavior ◽  
Lattice Boltzmann ◽  
Newtonian Fluids ◽  
Lattice Boltzmann Methods ◽  
Particulate Suspensions

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 Coating Flows of Power-Law Non-Newtonian Fluids in Slot Coating

2010 ◽  
Vol 38 (4/5) ◽  
pp. 223-230 ◽  
Author(s):  
Takeaki Tsuda
Keyword(s):  
Power Law ◽  
Newtonian Fluids ◽  
Coating Flows ◽  
Slot Coating

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

scholarly journals Analyzing Impacts of Interfacial Instabilities on the Sweeping Power of Newtonian Fluids to Immiscibly Displace Power-Law Materials

Processes ◽  
2021 ◽  
Vol 9 (5) ◽  
pp. 742
Author(s):  
Morteza Esmaeilpour ◽  
Maziar Gholami Korzani
Keyword(s):  
Power Law ◽  
Computational Cost ◽  
Initial Section ◽  
Wall Layer ◽  
Newtonian Fluids ◽  
Displacement Efficiency ◽  
Interfacial Instabilities ◽  
Compatibility Factor ◽  
Boltzmann Method ◽  
Power Law Index

Injection of Newtonian fluids to displace pseudoplastic and dilatant fluids, governed by the power-law viscosity relationship, is common in many industrial processes. In these applications, changing the viscosity of the displaced fluid through velocity alteration can regulate interfacial instabilities, displacement efficiency, the thickness of the static wall layer, and the injected fluid’s tendency to move toward particular parts of the channel. The dynamic behavior of the fluid–fluid interface in the case of immiscibility is highly complicated and complex. In this study, a code was developed that utilizes a multi-component model of the lattice Boltzmann method to decrease the computational cost and accurately model these problems. Accordingly, a 2D inclined channel, filled with a stagnant incompressible Newtonian fluid in the initial section followed by a power-law material, was modeled for numerous scenarios. In conclusion, the results indicate that reducing the power-law index can regulate interfacial instabilities leading to dynamic deformation of static wall layers at the top and the bottom of the channel. However, it does not guarantee a reduction in the thickness of these layers, which is crucial to improve displacement efficiency. The impacts of the compatibility factor and power-law index variations on the filling pattern and finger structure were intensively evaluated.

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