Direct numerical simulation of turbulent heat transfer in plane impinging jet

Hattori, Hirofumi; Nagano, Yasutaka

doi:10.1016/j.ijheatfluidflow.2004.05.004

Cited by 117 publications

(52 citation statements)

References 13 publications

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“…Under the state of the art, we found the effectiveness of the active control of a round jet for the mixing enhancement (Tsujimoto, et al, 2008). Also DNS of impinging jets are conducted so far (Tsubokura, et al, 2003;Hattori and Nagano, 2004) and highly resolved LES ( large eddy simulation ) (Hadžiabdić, and Hanjalić, 2007) has demonstrated the flow structure and the statistical properties of heat transfer. Hence at present it is capable of investigating systematically the effect of control parameter.…”

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confidence: 89%

DNS analysis of multiple impinging jets

Koide

Tsujimoto

Shakouchi

et al. 2014

JFST

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] IntroductionImpinging jet is widely used for cooling of industrial applications such as electric device, blades of gas turbine, hot steel and so on, since it possesses high performance of heat transfer rate and is easier to implement into various system. Their characteristics are reviewed by a few notable literatures (Kataoka, 1990 ;Viskanta, 1993). So far, a few or several ten thousand Reynolds number, defined with inlet nozzle diameter, are mainly targeted in laboratory research. However, according to the downsizing of electronic equipments, several one hundred of Re numbers are going to be dealt with (Lee, et al., 2008). Impinging jets are subdivided into three regions, such as free jet region, stagnation region and wall jet region (Viskanta,1993). Their performance of heat transfer on the impinging wall is depending on the Re number, the shape of nozzle, the number of nozzle, the distance between the nozzle and the impinging wall and so on (Viskanta,1993). In particular, although a single impinging jet produces high heat transfer rate around an impinging position on an impinging wall, however the heat transfer performance decays with increasing the distance from the impinging position. Thus in order to overcome the shortcoming of single impinging jet (SIJ), i.e., the occurrence of both inhomogeneous heat distribution on the wall and the narrow heating area, multiple impinging jets (MIJ) are generally introduced in industrial applications. Thus far it is well-known that each jet of MIJ interacts with each other, producing the complex flow field (Geers, Hanjalić, and Tummers, 2006;Weigand and Spring, 2011). In addition, the heat transfer performance is significantly influenced with their interaction. Therefore to realize an optimum heat transfer performance, the influence of geometrical arrangement of jets, i.e., the separation length between jets, the arrangement pattern, should be investigated.Recently significant advances of computer power lead to the realization of fluid phenomena including miniature vortices through the direct numerical simulation (DNS). Under the state of the art, we found the effectiveness of the active control of a round jet for the mixing enhancement (Tsujimoto, et al., 2008). Also DNS of impinging jets are conducted so far (Tsubokura, et al., 2003;Hattori and Nagano, 2004) and highly resolved LES ( large eddy simulation ) (Hadžiabdić, and Hanjalić, 2007) has demonstrated the flow structure and the statistical properties of heat transfer. Hence at present it is capable of investigating systematically the effect of control parameter. AbstractIn order to elucidate the heat and flow characteristics of multiple impinging jet (MIJ), we conduct the DNS (direct numerical simulation) of four round impinging jet arranged at an inflow of flow field. To realize the high accurate computation, the discretization in space is performed with hybrid scheme in which sine or cosine series and 6th order compact scheme are used. For the surrounding boundary condition, in order to reduce the artificial n...

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confidence: 89%

DNS analysis of multiple impinging jets

Koide

Tsujimoto

Shakouchi

et al. 2014

JFST

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“…Hattori and Nagano [65] carried out DNS and observed the effects of nozzle to plate spacing. They observed a secondary peak in the local Nu in the wall jet developing region for low H/B value and showed larger wall normal turbulence intensity close to the wall in the wall jet region and hence a secondary peak in Nu occurred.…”

Section: Dns and Hybrid Approachesmentioning

confidence: 99%

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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“…In our detailed investigation of the SGS model, we performed an a priori test using the DNS data of a channel flow at Re τ = 180 that were originally obtained by Hattori and Nagano (2004). Note that the Reynolds number Re τ is based on the friction velocity u τ and the half channel height δ, i.e., Re τ = u τ δ/ν.…”

Section: Test Cases and Computational Conditionsmentioning

confidence: 99%

“…In this study, to obtain a statistical value for the a priori test, a variable was averaged in homogeneous planes (i.e., the x-and z-directions) at a fixed wall distance ("plane-averaged", hereafter). On the other hand, the statistics used for comparison in the a posteriori test were the values ensemble-averaged in time and over homogeneous planes that were originally provided by Hattori and Nagano (2004). A supplementary discussion on the statistics used in this study is given in the Appendix.…”

Section: Evaluation Of True Values Of the Sgs Stresses Using The Dns mentioning

confidence: 99%

Toward the development of an anisotropy-resolving subgrid-scale model for large eddy simulation

Ohtsuka

Abe

2014

JFST

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To improve the prediction accuracy of large eddy simulation, an anisotropy-resolving subgrid-scale (SGS) model is a promising strategy. Although an anisotropic term in this type of SGS model is known to effectively enhance unsteady motions of vortex structures particularly in the near-wall region, it has not been made clear how well this term reproduces the real SGS-stress components. Therefore, we performed a detailed investigation of the model performance by an a priori test using the direct numerical simulation (DNS) data of a plane channel flow. The anisotropic SGS model is constructed by combining an isotropic linear eddy-viscosity model with an extra anisotropic term that does not produce undesirable energy transfer between the grid-scale and SGS components. This modeling concept contributes to a reasonable prediction, while maintaining computational stability. Comparison of the SGS stresses evaluated by the model expressions with those obtained directly from the DNS data provided several insights useful for further development of this type of SGS models. From the present investigation, this anisotropic SGS model was found generally to produce a reasonable trend for the SGS-stress anisotropy.

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Direct numerical simulation of turbulent heat transfer in plane impinging jet

Cited by 117 publications

References 13 publications

DNS analysis of multiple impinging jets

DNS analysis of multiple impinging jets

Flow and thermal characteristics of jet impingement: comprehensive review

Toward the development of an anisotropy-resolving subgrid-scale model for large eddy simulation

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