Comparison of low Reynolds number turbulence and conjugate heat transfer modelling for pin-fin roughness elements

Bauer, J.; Tyacke, James

doi:10.1016/j.apm.2021.10.044

Cited by 10 publications

(2 citation statements)

References 31 publications

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“…In this paper, the boundary value problem was simulated numerically by the finite volume method in the Ansys Fluent software product. The k − ω turbulence model was used as the most versatile model [43,48,[53][54][55][56].…”

Section: Numerical Analysismentioning

confidence: 99%

Modeling of Flow Heat Transfer Processes and Aerodynamics in the Cabins of Vehicles

Beskopylny

Panfilov

Meskhi

2022

Fluids

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Ensuring comfortable climatic conditions for operators in the cabin of technological machines is an important scientific and technical task affecting operator health. This article implements numerical and analytical modeling of the thermal state of the vehicle cabin, considering external airflow and internal ventilation. A method for calculating the heat transfer coefficients of a multilayer cabin wall for internal and external air under conditions of forced convective heat exchange is proposed. The cabin is located in the external aerodynamic flow to consider the speed and direction of the wind, as well as the speed of traffic. Inside the cabin, the operation of the climate system is modeled as an incoming flow of a given temperature and flow rate. The fields of velocities, pressures, and temperatures are calculated by the method of computer hydrodynamics for the averaged Navier–Stokes equations and the energy equation using the turbulence model. To verify the model, the values of the obtained heat transfer coefficients were compared with three applied theories obtained from experimental data based on dimensionless complexes for averaged velocities and calculated by a numerical method. It is shown that the use of numerical simulation considering the external air domain makes it possible to obtain more accurate results from 5% to 75% compared to applied theories, particularly in areas with large velocity gradients. This method makes it possible to get more accurate values of the heat transfer coefficients than for averaged velocities.

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Section: Numerical Analysismentioning

confidence: 99%

Modeling of Flow Heat Transfer Processes and Aerodynamics in the Cabins of Vehicles

Beskopylny

Panfilov

Meskhi

2022

Fluids

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“…Thus, in [26][27][28][29][30][31] the results of numerical studies and the values of heat transfer coefficients for various tubular heat exchangers, in evaporators, coolers, and other surfaces are presented. In papers [32][33][34][35][36], different models of turbulence are considered depending on the viscosity and flow parameters, as well as the roughness of the domain walls. New numerical approaches for flow and engineering problems are discussed in [37,38].…”

Section: Introductionmentioning

confidence: 99%

Numerical Simulation of Heat Transfer and Spread of Virus Particles in the Car Interior

2023

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The epidemic caused by the coronavirus infection SARS-CoV-2 at the beginning of 2022 affected approximately 500 million people in all countries. The source of infection is the particles of the virus, which, when breathing, talking, and coughing, are released with the respiratory droplets and aerosol dust of an infected person. Actions aimed at combating and minimizing the consequences of coronavirus infection led to taking measures in scientific areas to investigate the processes of the spread of viral particles in the air, in ventilation, and air conditioning systems of premises and transport, filtration through masks, the effect of partitions, face shields, etc. The article presents a mathematical model of the spread of viral particles in technological transport. Air intake diverters and the operator’s respiratory tract are the sources of the virus. The Euler–Lagrange approach was used to simulate liquid droplets in a flow. Here, the liquid phase is considered as a continuous medium using Navier–Stokes equations, the continuity equation, the energy equation, and the diffusion equation. Accounting for diffusion makes it possible to explicitly model air humidity and is necessary to consider the evaporation of droplets (changes in the mass and size of particles containing the virus). Liquid droplets are modeled using the discrete-phase model (DPM), in which each particle is tracked in a Lagrange coordinate system. The DPM method is effective, since the volume fraction of particles is small relative to the total volume of the medium, and the interaction of particles with each other can be neglected. In this case, the discrete and continuous phases are interconnected through the source terms in the equations. The averaged RANS equations are solved numerically using the k-ω turbulence model in the Ansys Fluent package. The task was solved in a static form and in the time domain. For a non-stationary problem, the stabilization time of the variables is found. The simulation results are obtained in the form of fields of pressures, velocities, temperatures and air densities, and the field of propagation of particles containing the virus. Various regimes were studied at various free flow rates and initial velocities of droplets with viral particles. The results of trajectories and velocities of particles, and particle concentrations depending on time, size, and on the evaporability of particles are obtained.

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Numerical Simulation of Relative Humidity in a Vehicle Cabin

Soloviev

Panfilov

Lesnyak

et al. 2023

Springer Proceedings in Materials

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Comparison of low Reynolds number turbulence and conjugate heat transfer modelling for pin-fin roughness elements

Cited by 10 publications

References 31 publications

Modeling of Flow Heat Transfer Processes and Aerodynamics in the Cabins of Vehicles

Modeling of Flow Heat Transfer Processes and Aerodynamics in the Cabins of Vehicles

Numerical Simulation of Heat Transfer and Spread of Virus Particles in the Car Interior

Numerical Simulation of Relative Humidity in a Vehicle Cabin

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