Investigation into the performance of turbulence models for fluid flow and heat transfer phenomena in electronic applications

Dhinsa, K.; Bailey, C.; Pericleous, K.

doi:10.1109/tcapt.2005.859758

Cited by 17 publications

(7 citation statements)

References 21 publications

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“…The reason for the difference may be that the SST model lacks accuracy for high aspect ratio elements [18]. As shown in section 2.7.2, the model's mathematical structure is insensitive to oV velocity gradient.…”

Section: Resultsmentioning

confidence: 99%

“…) and decreases its value. Although the SST model is shown to be capable of managing stabilizing and destabilizing effects, unlike RSM, it is not sensitive to av ax gradients in the flow (height aspect ratio) similar to the situation discussed in [18].…”

Section: Recirculation Regionmentioning

confidence: 96%

“…18 shows the geometry of the problem solved. The origin of the coordinate system is at the lower comer of the channel entrance.…”

mentioning

confidence: 99%

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Turbulence Modeling of Forced Convection Heat Transfer in Two-Dimensional Ribbed Channels

Elsaadawy

Mortazavi

Hamed

2008

Journal of Electronic Packaging

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The progress of technology in the electronic components industry has been rapidly growing. The evolution of various techniques has made it possible for this industry to grow and diversify with the market demand. Thus, the development of electronic component products over a short span of time requires having highly efficient tools for design and manufacturing. Advances in commercial Computational Fluid Dynamics (CFD) softwares and computational power have enabled modeling to a high level of architectural details. Nowadays, computer aided design becomes an essential design tool in the engineering environment. Computer analysis reduces both the time development cycle and the prototyping costs in the early to intermediate design phases. The accuracy of the computational prediction of heat transfer rates depends mostly on the correct choice of turbulent model. Although many turbulent models, rather than a universal turbulent model, have been developed during the last two decades, there is usually one model that performs better than others for certain flow conditions. In the present research, a turbulence model is selected from amongst a few candidates, namely standard k-8, RNG k-8, shear stress transport (SST), and Reynolds Stress Model (RSM), based on comparisons with experimental data and direct numerical simulation (DNS) results from previous work. The SST turbulence model shows excellent agreement with the DNS results and, hence, is considered an appropriate turbulence model for thermal analysis of electronic packages with elements that have almost the same heights. Moreover, the average Nusselt number of array of obstacles is obtained numerically using commercial code ANSYS-CFX 1 0.0. The effects upon the mean Nusselt number arising from parameteric changes in Reynolds number, element height, element width, and element-to-element distance are compared and discussed. Finally, the parametric study has offered a set of correlations for the mean Nusselt number of arrays of mounted obstacles in the channel flow.lll

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Section: Resultsmentioning

confidence: 99%

Section: Recirculation Regionmentioning

confidence: 96%

See 1 more Smart Citation

Turbulence Modeling of Forced Convection Heat Transfer in Two-Dimensional Ribbed Channels

Elsaadawy

Mortazavi

Hamed

2008

Journal of Electronic Packaging

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“…By far the most popular turbulence models utilized today for flow transfer calculations are the two-equation eddy viscosity models: k-ε, k-ω, BSL and SST. In particular, two-equation k-ε model is unarguably the most widely used and validated model employed for turbulent fluid dynamics to date Garg et al [16]; Dhinsa et al [17]. The extensive use of the model has highlighted both its robustness and low computational expense Haque et al [18].…”

Section: Solution Algorithm: Turbulence Modelsmentioning

confidence: 99%

“…Although k-ε turbulent model produces the reasonable results, the model does not perform very well for the flows at the boundary layer separation, sudden changes in swirling and rotating flows and flows over the curved surfaces Guo et al [9][10][11]. Wilcox [20] suggested another model (k-ω) based on the [20]activated in the near-wall region and the standard k-ε model activated in the outer wake region and in free shear layers Dhinsa et al [17]; Bartosiewicz et al [21]; Haque et al [18]. Shear Stress Transport (SST) model accounts for the transport of the turbulent shear stress and gives highly accurate predictions of the onset and the amount of the flow separation under adverse pressure gradients [15].…”

Section: Solution Algorithm: Turbulence Modelsmentioning

confidence: 99%

Experimental and Computational Analysis of Nozzle Structural Parameters of Jetring Spinning System

Usal¹,

Yılmaz²

2017

JTEFT

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The main aim of the work is to analyse the airflow character and fluid variables of the air nozzle of Jetring spinning system computationally. In numerical simulation, ANSYS 12.1 package program and Fluid Flow (CFX) analysis method was used. Our numerical analysis differs from the literature regarding to three contributing causes. One of them is the type of the solution algorithm. Standard and also modified k-ε turbulent models were widely used for the numerical analyses of the nozzle in which pressurized air is fed. In our study, Shear Stress Turbulent (SST) model is preferred regarding to the solution duration and also solution stability. The second contributing cause is the boundary condition and solution validation. Mass flow values of the air in the nozzle were measured by electronic mass flow meter and the values were compared with the calculated values obtained by the numerical analysis. The last cause is the yarn component of the Jetring system. Contrary to assumption of the insignificant effect of the yarn on to the airflow in the literature, the yarn was modeled and the area from where the yarn is passing was included to the numerical analysis. Consequently, we determined the calculated and measured values are almost compatible. It was observed different types of airflow in mainly three different parts of the nozzle with different air velocities and pressure values.

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An experimental and numerical investigation of the use of liquid flow in serpentine microchannels for microelectronics cooling

Al-Neama

Kapur

Summers

et al. 2017

Applied Thermal Engineering

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Investigation into the performance of turbulence models for fluid flow and heat transfer phenomena in electronic applications

Cited by 17 publications

References 21 publications

Turbulence Modeling of Forced Convection Heat Transfer in Two-Dimensional Ribbed Channels

Turbulence Modeling of Forced Convection Heat Transfer in Two-Dimensional Ribbed Channels

Experimental and Computational Analysis of Nozzle Structural Parameters of Jetring Spinning System

An experimental and numerical investigation of the use of liquid flow in serpentine microchannels for microelectronics cooling

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