Mass and Heat Transfer Coefficients in Automotive Exhaust Catalytic Converter Channels

Templis, Chrysovalantis C.; Papayannakos, N.

doi:10.3390/catal9060507

Cited by 3 publications

(2 citation statements)

References 27 publications

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“…In many energy systems, such as internal combustion engines, gas turbines, heat exchangers and many more, like converter monolith channels in after-treatment devices, conjugate heat transfer features a thermal energy transfer process that involves the interaction of conduction within a solid body and convection from the solid surface by fluid motion [2]. Note that catalytic converters, which are usually multiple-channel reactors with a honeycomb structure, are additionally characterized by relatively low pressure drop, enhanced mass transfer and large geometric surface area and thickness of the catalyst film on the substrate wall in which heterogeneous chemical reactions take place [3]. The structural field of a solid wall in terms of structural stresses and deformation as well as chemical reactions is not considered in the present paper.…”

Section: Introductionmentioning

confidence: 99%

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Predictions of Conjugate Heat Transfer in Turbulent Channel Flow Using Advanced Wall-Modeled Large Eddy Simulation Techniques

Ries

Nishad

et al. 2021

Entropy

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In this paper, advanced wall-modeled large eddy simulation (LES) techniques are used to predict conjugate heat transfer processes in turbulent channel flow. Thereby, the thermal energy transfer process involves an interaction of conduction within a solid body and convection from the solid surface by fluid motion. The approaches comprise a two-layer RANS–LES approach (zonal LES), a hybrid RANS–LES representative, the so-called improved delayed detached eddy simulation method (IDDES) and a non-equilibrium wall function model (WFLES), respectively. The results obtained are evaluated in comparison with direct numerical simulation (DNS) data and wall-resolved LES including thermal cases of large Reynolds numbers where DNS data are not available in the literature. It turns out that zonal LES, IDDES and WFLES are able to predict heat and fluid flow statistics along with wall shear stresses and Nusselt numbers accurately and that are physically consistent. Furthermore, it is found that IDDES, WFLES and zonal LES exhibit significantly lower computational costs than wall-resolved LES. Since IDDES and especially zonal LES require considerable extra work to generate numerical grids, this study indicates in particular that WFLES offers a promising near-wall modeling strategy for LES of conjugated heat transfer problems. Finally, an entropy generation analysis using the various models showed that the viscous entropy production is zero inside the solid region, peaks at the solid–fluid interface and decreases rapidly with increasing wall distance within the fluid region. Except inside the solid region, where steep temperature gradients lead to high (thermal) entropy generation rates, a similar behavior is monitored for the entropy generation by heat transfer process.

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Section: Introductionmentioning

confidence: 99%

“…Dimensionless mean velocity U + and turbulent kinetic energy k + with respect to nondimensional wall distance y + in turbulent heated channel flow at Re τ = 395, 640, 1020. Comparison of wall-modeled and wall-resolved LES (cases 1,3,6,9,11,13,16,19,21,23,26,29 of Table1) with DNS data of[40]. : WFLES; : IDDES; : zonal LES; : WRLES; : DNS.…”

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confidence: 99%