Tackling Turbulent Flows in Engineering

Dewan, Anupam

doi:10.1007/978-3-642-14767-8

Cited by 51 publications

(37 citation statements)

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“…A typical value of the turbulent Prandtl number used in engineering computations is approximately equal to 1 [83]. Readers are referred to any book or paper for details on turbulence model used in the literatures, such as [30,83,84].…”

Section: Reynolds-averaged Navier-stokes (Rans) Equationsmentioning

confidence: 99%

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Flow and thermal characteristics of jet impingement: comprehensive review

Shukla¹,

Dewan²

2017

IJHT

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A comprehensive review on jet impingement heat transfer is presented to consider the state-of the art in this field. Among all the single-phase heat transfer arrangements possible, it has the maximum heat transfer rate. A number of arrangements are possible to represent a practical or physical situation, such as, jet impingement on a solid flat surface or surface fitted with different kinds of turbulent promoters, inclined plane surface and cylindrical convex/concave surface, etc. A significant number of papers dealing with experimental and computational studies on different physical and computational aspects of jet impinging flows are reviewed. Several parameters were found to influence the characteristics, such as, flow confinement, nozzle shape, jet to plate spacing and Reynolds number. An extremely small number of studies dealing with application based jet impingement heat transfer configurations (e.g., ribs fitted impingement plate, moving impingement plate, etc) experimentally and numerically have been reported in the literature. Various computational approaches, such as, RANS, LES, DNS and hybrid models, that are used to study the jet impingement heat transfer, with their complexities and boundary conditions, have been reviewed. It was observed that majority of RANS based turbulence models did not predict impinging flows accurately and its complexities except a few. Many authors have reported that LES is capable of predicting the flow field and heat transfer data within the accepted accuracy limits. DNS can be applied to simple geometry with low Reynolds number. Recently some authors have employed hybrid models, such as, PANS, DES, etc., and concluded that these models provide reasonably accurate results and were found to be computationally less expensive than LES and DNS.

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Section: Reynolds-averaged Navier-stokes (Rans) Equationsmentioning

confidence: 99%

“…Readers are referred to any book or paper for details on turbulence model used in the literatures, such as [30,83,84].…”

Section: Reynolds-averaged Navier-stokes (Rans) Equationsmentioning

confidence: 99%

Flow and thermal characteristics of jet impingement: comprehensive review

Shukla¹,

Dewan²

2017

IJHT

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“…The mathematical formulation used for modeling the flow of the liquid steel inside the tundish includes [21].…”

Section: Governing Equationsmentioning

confidence: 99%

“…One of the challenges in the simulation of the flow in a steel tundish is an accurate modelling of the fluid turbulence and for this purpose we have used the standard k-ε model [21], which is a two equation turbulence model. In the k-ε model, two transport equations, one for the turbulent kinetic energy (k) and other for its dissipation rate (ε) are employed to calculate the eddy viscosity.…”

Section: Governing Equationsmentioning

confidence: 99%

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Performance Optimization of a Six-Strand Tundish

Gupta¹,

Dewan²

2013

WJM

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The aims of the present study are to predict and improve inclusion separation capacity of a six strand tundish by employing flow modifiers (dams and weirs) and to assess the influence of inclusion properties (diameter and density) together with velocity of liquid steel at the inlet gate on the inclusion removal efficiency of a six-strand tundish. Computational solutions of the Reynolds-Averaged Navier-Strokes (RANS) equations together with the energy equation are performed to obtain the steady, three-dimensional velocity and temperature fields using the standard k-ε model of turbulence. These flow fields are then used to predict the inclusion sepapration by numerically solving the inclusion transport equation. To account for the effects of turbulence on particle paths a discrete random walk model is employed. It was observed that with the employment of flow modifiers, the inclusion separation capacity of tundish increases without any large variation in the outlet temperatures. It is shown that inclusion properties and velocity are important parameters in defining the operating conditions of a six-strand tundish.

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Thermal‐hydraulic Analysis of Reactor Systems

2020

Nuclear Reactor Physics and Engineering

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Tackling Turbulent Flows in Engineering

Abstract: The use of general descriptive names, registered names, trademarks, etc. in this publication does not imply, even in the absence of a specific statement, that such names are exempt from the relevant protective laws and regulations and therefore free for general use.

Cited by 51 publications

References 0 publications

Flow and thermal characteristics of jet impingement: comprehensive review

Flow and thermal characteristics of jet impingement: comprehensive review

Performance Optimization of a Six-Strand Tundish

Thermal‐hydraulic Analysis of Reactor Systems

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