Numerical analysis of conjugate porous media for increasing heat transfer rate in fixed bed spheres

F. R. Purnadiana, Prabowo, H. Sasongko
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Abstract

Porous media becomes a potential alternative for cooling technology since it has large contact surface area that strongly enhance heat transfer and exchanging energy within pore channel. A computational fluid dynamics of conjugate heat transfer and periodic boundary condition were applied in FLUENT 6.3.26. Simulations of fixed bed spheres as porous media inside pipe flow were carried out in the range of Reynolds number 5000 to 80000. Simulation methodology was validated by analytical prediction. In the range of Reynolds number 100 – 6000 is very good agreement, however in the range of Reynolds number above 6000 - 10000 just fairly agree. This is caused by the fact that in the range of Reynolds number above 6000 analytical model does not use turbulence model. Fluctuation effects are just considered as dispersion. The results shows that the fixed bed spheres for porous structure gives the highest value of the cooling effectiveness than the other porous structures except for ReD ≤ 10000, the cooling effectiveness of the discrete porous structure is higher compared to the analyzed fixed bed porous structures. At ReD = 15,000 the fixed bed spheres gives 28%, 65% and 160% higher effectiveness compared to the discrete porous structure, 60° broken ribs and 90° continuous ribs, respectively.Porous media becomes a potential alternative for cooling technology since it has large contact surface area that strongly enhance heat transfer and exchanging energy within pore channel. A computational fluid dynamics of conjugate heat transfer and periodic boundary condition were applied in FLUENT 6.3.26. Simulations of fixed bed spheres as porous media inside pipe flow were carried out in the range of Reynolds number 5000 to 80000. Simulation methodology was validated by analytical prediction. In the range of Reynolds number 100 – 6000 is very good agreement, however in the range of Reynolds number above 6000 - 10000 just fairly agree. This is caused by the fact that in the range of Reynolds number above 6000 analytical model does not use turbulence model. Fluctuation effects are just considered as dispersion. The results shows that the fixed bed spheres for porous structure gives the highest value of the cooling effectiveness than the other porous structures except for ReD ≤ 10000, the cooling effectiv...
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共轭多孔介质提高固定床球体传热速率的数值分析
多孔介质由于具有较大的接触面积,可以有效地促进孔内的传热和能量交换,因此成为一种潜在的替代冷却技术。在FLUENT 6.3.26中应用了共轭传热和周期边界条件的计算流体力学。在雷诺数5000 ~ 80000范围内,对固定床球作为多孔介质在管内流动进行了模拟。通过分析预测验证了仿真方法的有效性。在雷诺数100 - 6000的范围内是很好的一致性,而在雷诺数6000 - 10000以上的范围内只是比较一致。这是由于在6000以上雷诺数范围内,解析模型不使用湍流模型造成的。波动效应仅仅被认为是色散。结果表明,除ReD≤10000外,多孔结构的固定床球的冷却效率最高,离散多孔结构的冷却效率高于所分析的固定床多孔结构。在ReD = 15,000时,固定床球的效率分别比离散多孔结构、60°断肋和90°连续肋高28%、65%和160%。多孔介质由于具有较大的接触面积,可以有效地促进孔内的传热和能量交换,因此成为一种潜在的替代冷却技术。在FLUENT 6.3.26中应用了共轭传热和周期边界条件的计算流体力学。在雷诺数5000 ~ 80000范围内,对固定床球作为多孔介质在管内流动进行了模拟。通过分析预测验证了仿真方法的有效性。在雷诺数100 - 6000的范围内是很好的一致性,而在雷诺数6000 - 10000以上的范围内只是比较一致。这是由于在6000以上雷诺数范围内,解析模型不使用湍流模型造成的。波动效应仅仅被认为是色散。结果表明:除ReD≤10000外,多孔结构用固定床球的冷却效率高于其他多孔结构。
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