Results 81 to 90 of about 67,930 (246)

Prandtl number of lattice Bhatnagar-Gross-Krook fluid

open access: yes, 1995
The lattice Bhatnagar-Gross-Krook modeled fluid has an unchangeable unit Prandtl number. A simple method is introduced in this letter to formulate a flexible Prandtl number for the modeled fluid.
Akiyama, M., Chen, Y., Ohashi, H.
core   +1 more source

Effects of Concentrations of Water‐Based MgO Nanofluid on Heat Transfer Performance in Shell‐and‐Tube Heat Exchanger

open access: yesEnergy Science &Engineering, EarlyView.
This figure shows the variation of the total heat transfer coefficient of a shell and tube heat exchanger with different concentrations of water‐based MgO nanofluids at different inlet flow rates. The results indicate that the total heat transfer coefficient increases with increasing flow velocity, and at different volume fraction settings, the ...
Li Zhang   +4 more
wiley   +1 more source

Design of HAWT Rotor for Non‐Uniform Inflow Conditions: A Theoretical and Experimental Approach for Shear Flow

open access: yesEnergy Science &Engineering, EarlyView.
This paper aims to provide a robust design approach for HAWTs operating in shear flow. This study fills a critical research gap by integrating BEM and vortex theories for blade design in non‐homogeneous inflow conditions. The authors of the paper made an effort to develop and test an experimentally unsophisticated model of a turbine working in shear ...
Agnieszka Dorota Woźniak   +2 more
wiley   +1 more source

The Turbulent Magnetic Prandtl Number of MHD Turbulence in Disks

open access: yes, 2009
The magnetic Prandtl number Pr_M is the ratio of viscosity to resistivity. In astrophysical disks the diffusion of angular momentum (viscosity) and magnetic fields (resistivity) are controlled by turbulence.
Balbus   +25 more
core   +1 more source

Wind Resource Evaluation With Atmospheric Stability Across Different Surface Types

open access: yesEnergy Science &Engineering, EarlyView.
Wind resource evaluation with atmospheric stability across different surface types. ABSTRACT This study investigates the influence of atmospheric stability on wind resource assessment across various surface conditions, focusing on wind shear and prevailing wind direction as key analytical parameters.
Zejia Hua, Wei Tao, Guanjun Wang
wiley   +1 more source

Investigation of Turbulence and Turbulent Prandtl Number Models for He-Xe Thermal Hydraulics in Quasi-Triangular Channel

open access: yesEnergies
Compact nuclear reactor systems usually use helium–xenon (He-Xe) mixtures as coolants. Tight-lattice rod-bundled channels, serving as primary core configurations in compact nuclear reactor designs, exhibit quasi-triangular cross-sections where fluid ...
Yue Xie   +4 more
doaj   +1 more source

Modeling of MHD natural convection in a square enclosure having an adiabatic square shaped body using Lattice Boltzmann Method

open access: yesAlexandria Engineering Journal, 2016
A steady laminar two-dimensional magneto-hydrodynamics (MHD) natural convection flow in a square enclosure filled with an electrically conducting fluid is numerically investigated using Lattice Boltzmann Method (LBM).
Ahmed Kadhim Hussein   +5 more
doaj   +1 more source

Forced Draught Impact on Externally Venting Flames: An Experimental and Numerical Investigation

open access: yesFire and Materials, EarlyView.
ABSTRACT Wind can significantly influence fire development and spread in urban and forest environments causing fatal consequences for the public, the first responders, and the environment. Wind‐driven fires can have a significant impact on structural fires as wind can increase the fire's intensity, development, and flame spread.
Anoop Subramania Warrier   +5 more
wiley   +1 more source

Direct Numerical Simulation of Magnetohydrodynamic Slip‐Flow Past a Stretching Surface Using Physics‐Informed Neural Network

open access: yesHeat Transfer, EarlyView.
ABSTRACT Traditional numerical methods, such as finite difference methods (FDM), finite element methods (FEM), and spectral methods, often face meshing challenges and high computational cost for solving nonlinear coupled differential equations. Machine learning techniques, specifically Physics‐informed machine learning, address these obstacles by ...
Ahmad, Feroz Soomro, Husna Zafar
wiley   +1 more source

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