Influence of Prandtl number, height and lateral cooling condition on laminar natural convection in a rectangular enclosure

Moon, Je-Young; Chung, Bum-Jin

doi:10.1007/s00231-018-02540-7

Cited by 8 publications

(3 citation statements)

References 25 publications

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“…(10) and the characteristics of the entropy generation are computed using Eqs. (12) to (14) and (16). Finally, it should be mentioned that all the integrals Eqs.…”

Section: Bejan Numbermentioning

confidence: 99%

“…The length L varies between two limits. The lower limit is fixed at 5.10 −3 m, as suggested by Moon and Chung [16], while the upper limit will depend on getting the suitable stable and stationary flow regime for each Prandtl number. This one is supposed to be achieved once the average Nusselt number becomes constant and independent of time.…”

Section: Validationmentioning

confidence: 99%

“…In the last decade, significant numerical investigations [13][14][15][16] have been performed to include the effect of the Prandtl number during laminar natural or mixed convection in confined spaces. However, the literature review has revealed that few contributions have been made to the effect of the Prandtl number on entropy generation, whether in natural convection or mixed convection.…”

Section: Introductionmentioning

confidence: 99%

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Prandtl Number Effects on the Entropy Generation During the Transient Mixed Convection in a Square Cavity Heated from Below

Ferroudj¹,

Köten

Kachi

et al. 2021

Period. Polytech. Mech. Eng.

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This numerical study considers the mixed convection, heat transfer and the entropy generation within a square cavity partially heated from below with moving cooled vertical sidewalls. All the other horizontal sides of the cavity are assumed adiabatic. The governing equations, in stream function–vorticity form, are discretized and solved using the finite difference method. Numerical simulations are carried out, by varying the Richardson number, to show the impact of the Prandtl number on the thermal, flow fields, and more particularly on the entropy generation. Three working fluid, generally used in practice, namely mercury (Pr = 0.0251), air (Pr = 0.7296) and water (Pr = 6.263) are investigated and compared. Predicted streamlines, isotherms, entropy generation, as well as average Nusselt numbers are presented. The obtained results reveal that the impact of the Prandtl number is relatively significant both on the heat transfer performance and on the entropy generation. The average Nusselt number increase with increasing Prandtl number. Its value varies thereabouts from 3.7 to 3.8 for mercury, from 5.5 to 13 for air and, from 12.5 to 15 for water. In addition, it is found that the total average entropy generation is significantly higher in the case of mercury (Pr«1) and water (Pr»1) than in the case of air (Pr~1). Its value varies approximately from 700 to 1100 W/m3 K for mercury, from 200 to 500 W/m3 K for water and, from 0.03 to 5 W/m3 K for air.

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“…(10) and the characteristics of the entropy generation are computed using Eqs. (12) to (14) and (16). Finally, it should be mentioned that all the integrals Eqs.…”

Section: Bejan Numbermentioning

confidence: 99%

Section: Validationmentioning

confidence: 99%