Numerical Stabilization of Three-Dimensional Turbulent Natural Convection Around Isothermal Cylinder

Alinejad, Javad; Esfahani, Javad Abolfazli

doi:10.2514/1.t4563

Cited by 16 publications

(5 citation statements)

References 32 publications

(40 reference statements)

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“…Javad Alinejad et al investigated the effect of different spaces and objects on the heat transfer with different types of fluid. These studies clarified the importance of calculation space and objects [ [14] , [15] , [16] , [17] ]. Thus, considering the impact of debris flow on the pipeline, not only focusing on the pipeline failure with the consideration of unique impact scenario but also focusing on more scenarios of different pipeline alignments is needed based on the practice of engineering.…”

Section: Introductionmentioning

confidence: 99%

Methodology for assessing pipeline failure probability due to a debris flow in the near field

SONG

Hua

Luo

et al. 2023

Heliyon

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Section: Introductionmentioning

confidence: 99%

Methodology for assessing pipeline failure probability due to a debris flow in the near field

SONG

Hua

Luo

et al. 2023

Heliyon

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“…In particular, the study problem of flow past a cylinder is widely used in the field of fluid dynamics, with applications including towers, bridges, heat exchangers and cables [5][6][7]. Previous numerical and experimental investigations have examined turbulent natural convective flow past a horizontal cylinder using various turbulence models [8][9][10][11][12]. Hence, the authors aim to extend these investigations by focusing on the turbulent flow regime near a heated vertical cylinder, utilizing flow visualization techniques.…”

Section: Introductionmentioning

confidence: 99%

Turbulent heat and mass lines in finite difference regime

S P,

Reddy,

Basha

2023

Z Angew Math Mech

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Finite difference modelling of turbulent heat and mass flow visualization finds numerous applications in atmospheric flows/oceanic currents, wind turbines, thermal transfer in nuclear reactors, drag in oil pipelines, cooling of industrial machineries, and to investigate the complexity, dynamic and chaotic nature of the physical system. A turbulent phenomenon is effectively implemented in engineering, physics, earth sciences, bio‐engineering and medicine. Hence, motivated by the advantages of turbulence in various engineering fields, in the current article, a finite difference analysis is performed to demonstrate the k‐ε turbulence model‐based heat and mass lines visualization in boundary layer regime under turbulent buoyancy‐driven convective conditions along a cylinder. Turbulent flow characteristics are accurately explored by deploying the classical Newtonian flow model. Further, to accomplish a more sophisticated finite difference simulation, the effects of extra kinetic energy and its dissipation rate equations are considered. The produced Navier‐Stokes equations for time‐dependent turbulent heat and mass transmission are rendered to non‐dimensional by deploying suitable dimensionless numbers. The advanced coupled nonlinear turbulent unsteady buoyancy‐motivated vertical convection problem is then solved with a well‐sophisticated finite difference scheme such as Crank‐Nicolson technique using computational software. Authentication of current results with former solutions over a range of buoyancy number, Schmidt, and Prandtl parameters are presented. An extensive tabular and graphical discussion along with contours, heat and masslines visualization is included to enumerate the hydro‐dynamic, thermal and mass diffusion behaviour for the impact of emerged regulating numbers in the Prandtl regime. It is confirmed that, the accelerating turbulent buoyancy‐ratio number, maximizes the velocity, kinetic energy and dissipation rate at . Further, the numerical values of laminar thermal and mass diffusion rates are monotonically enhanced when compared to the turbulent values. Also, to verify the current findings, the authors compared the LRN k‐ε model turbulent results with the existing solutions and found good agreement. Further, the uniqueness and novelty of the current investigation is the exploration of heat and masslines in unsteady buoyancy‐driven convection regime under the influence of k‐ε turbulence model which extends the former studies and offers a more precise appraisal of the thermal and mass diffusion lines via the Crank‐Nicolson analysis.

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“…The lattice Bhatnagar-Gross-Krook (LBGK) model which is the most popular LBM is known for its remarkable abilities to solve complex fluid flow problems [6] such as natural convection flow, multiphase fluids and suspensions in fluids. Moreover, it is shown a strong potential in simulating nonlinear mathematical-physical equations [7]. It should be noted that these models always deal with stability issues and therefore in the last few years, several researches have been done to solve this problem [8] such as TRT models and multi-relaxation-time (MRT) model.…”

Section: Introductionmentioning

confidence: 99%

Control temperature fluctuations in two-phase CuO-water nanofluid by transfiguration of the enclosures

2021

Self Cite

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The innovation of this paper is to simulate two-phase nanofluid natural convection inside the transformable enclosure to control the heat transfer rate under different heat flux. Heat transfer of a two-phase CuO-water nanofluid in an enclosure under different heat flux has many industrial applications including energy storage systems, thermal control of electronic devices and cooling of radioactive waste containers. The Lattice Boltzmann Method based on the D2Q9 method has been utilized for modeling velocity and temperature fields. Streamlines, isotherms and nanoparticle volume fraction, have been investigated for control the heat transfer rate for several cases. The purpose of this feasibility study is to achieve uniform temperature profiles and Tmax < 50?C under different heat flux. Natural convection heat transfer in the rectangular and parallelogram enclosures with positive and negative angular adiabatic walls were simulated. The average wall temperature under heat flux boundary condition has been studied to predict optimal levels of effective factors to control the maximum wall temperature. The results illustrated parallelogram enclosures with positive angle of case 1 and case 3 and 4 with rectangular enclosures were best cases for considering physical conditions. Average of temperature for these cases were 37.9, 29.7 and 38.2, respectively.

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Numerical Stabilization of Three-Dimensional Turbulent Natural Convection Around Isothermal Cylinder

Cited by 16 publications

References 32 publications

Methodology for assessing pipeline failure probability due to a debris flow in the near field

Methodology for assessing pipeline failure probability due to a debris flow in the near field

Turbulent heat and mass lines in finite difference regime

Control temperature fluctuations in two-phase CuO-water nanofluid by transfiguration of the enclosures

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