基于多相流模型的腔体内纳米流体自然对流换热数值模拟

摘要/Abstract

摘要：

摘要：运用多相流混合模型和单相流模型模拟了纳米流体在封闭腔体内的自然对流换热特性，将模拟结果与相应的实验值进行对比，分析了瑞利数、格拉晓夫数和纳米颗粒体积分数等物理量与努塞尔数的关系；同时，对比分析了纳米流体和纯水在水平与垂直中心截面的速度分布，以及封闭腔体内流体的温度场及流场.结果表明：基于NS方程的单相流模型所得努塞尔数变化曲线与水的努塞尔数曲线较吻合，但不能反应纳米流体的换热特性；而基于多相流混合模型所得努塞尔数变化曲线与相应的实验结果较吻合；纳米颗粒的添加能够显著增强封闭腔体内的流体运动，有利于强化封闭腔体内流体的能量传输，起到了对流换热作用.

关键词: 自然对流换热, 纳米流体, 多相流, 数值计算

Abstract:

Abstract： The natural convection heat transfer and flow characteristics of nanofluids in an enclosure were numerically simulated using the multiphaseflow model and single phase model respectively. The simulated results were compared with the experimental results from the published papers to investigate the applicability of these models for nanofluids. The multiphaseflow model is mixture model. The effects of various parameters such as Rayleigh number, Grashof number and volume concentration of nanoparticles on the heat transfer and flow characteristics were investigated and discussed. Comparisons of the central velocity profiles between nanofluid and water for various Gr numbers were studied as well. In addition, streamlines contours and isotherms for different volume concentration were analyzed. The results show that a great deviation exists between the simulated results based on single phase model and experimental data on NuRa heat transfer curve, which indicates that the simulation based on single phase model and NS equations cannot reflect the heat transfer characteristic of nanofluid, while the simulated results using multiphaseflow model have good agreement with the experimental data of nanofluid, which means that the multiphaseflow model is more suitable for the numerical study of nanofluid. Moreover, nanoparticles can significantly enhance the motion of fluid in the enclosure, which is in favor of strengthening the energy transfer in fluid. Besides, nanofluids also show the characteristic of strengthening the convection in the enclosure.

Key words: natural convection heat transfer, nanofluid, multiphase flow, numerical calculation

中图分类号:

TK 124

陈彦君，李元阳，刘振华. 基于多相流模型的腔体内纳米流体自然对流换热数值模拟[J]. 上海交通大学学报（自然版）, 2015, 49(05): 600-607.

CHEN Yanjun,LI Yuanyang,LIU Zhenhua. Numerical Simulation of Natural Convective Heat Transfer Characteristics of Nanofluids in an Enclosure Using Multiphase-Flow Model[J]. Journal of Shanghai Jiaotong University, 2015, 49(05): 600-607.

参考文献

［1］Masuda H, Ebata A, Teramae K, et al. Alteration of thermal conductivity and viscosity of liquid by dispersing ultrafine particles (dispersions of γAl2O3, SiO2, and TiO2 ultrafine particles) ［J］. Netsu Bussei, 1993, 4(4): 227233.

［2］Choi S U S, Eastman J A. Enhancing thermal conductivity of fluids with nanoparticles［R］. USA：Argonne National Lab, IL, 1995.

［3］刘振华, 廖亮. 纳米流体池内沸腾时传热面上的吸附和烧结现象［J］. 上海交通大学学报, 2007, 41(3): 352356.

LIU Zhenhua, LIAO Liang. The sorption and agglutination phenomenon on a plain heated surface during pool boiling of nanofluids［J］. Journal of Shanghai Jiaotong University, 2007, 41 (3): 352356.

［4］刘振华, 杨雪飞. 纳米流体在回路型重力热管中的沸腾传热特性［J］. 上海交通大学学报, 2011, 45(6): 890894.

LIU Zhenhua, YANG Xuefei. Boiling heat transfer characteristics of nanofluids in a thermosyphon loop［J］. Journal of Shanghai Jiaotong University, 2011, 45 (6): 890894.

［5］姜未汀, 丁国良, 王凯建. 基于颗粒团聚理论的纳米制冷剂导热系数计算［J］. 上海交通大学学报, 2006, 40(8): 12721277.

JIANG Weiting, DING Guoliang, WANG Kaijian. Calculation of the conductivity of nanorefrigerant based on particles aggregation theory［J］. Journal of Shanghai Jiaotong University, 2006, 40(8): 12721277.

［6］Ho C J, Liu W K, Chang Y S, et al. Natural convection heat transfer of aluminawater nanofluid in vertical square enclosures: An experimental study［J］. International Journal of Thermal Sciences, 2010, 49(8): 13451353.

［7］Putra N, Roetzel W, Das S K. Natural convection of nanofluids［J］. Heat and Mass Transfer, 2003, 39(89): 775784.

［8］Wen D, Ding Y. Formulation of nanofluids for natural convective heat transfer applications［J］. International Journal of Heat and Fluid Flow, 2005, 26(6): 855864.

［9］Khanafer K, Vafai K, Lightstone M. Buoyancydriven heat transfer enhancement in a twodimensional enclosure utilizing nanofluids［J］. International Journal of Heat and Mass Transfer, 2003, 46(19): 36393653.

［10］AbuNada E, Oztop H F. Effects of inclination angle on natural convection in enclosures filled with Cuwater nanofluid［J］. International Journal of Heat and Fluid Flow, 2009, 30(4): 669678.

［11］AbuNada E. Effects of variable viscosity and thermal conductivity of Al2O3water nanofluid on heat transfer enhancement in natural convection［J］. International Journal of Heat and Fluid Flow, 2009, 30(4): 679690.

［12］Ho C J, Chen M W, Li Z W. Numerical simulation of natural convection of nanofluid in a square enclosure: Effects due to uncertainties of viscosity and thermal conductivity［J］. International Journal of Heat and Mass Transfer, 2008, 51(17): 45064516.

［13］AbuNada E, Masoud Z, Hijazi A. Natural convection heat transfer enhancement in horizontal concentric annuli using nanofluids［J］. International Communications in Heat and Mass Transfer, 2008, 35(5): 657665.

［14］Aminossadati S M, Ghasemi B. Natural convection cooling of a localised heat source at the bottom of a nanofluidfilled enclosure［J］. European Journal of Mechanics B/Fluids, 2009, 28(5): 630640.

［15］AbuNada E, Masoud Z, Oztop H F, et al. Effect of nanofluid variable properties on natural convection in enclosures［J］. International Journal of Thermal Sciences, 2010, 49(3): 479491.

［16］Oztop H F, AbuNada E. Numerical study of natural convection in partially heated rectangular enclosures filled with nanofluids［J］. International Journal of Heat and Fluid Flow, 2008, 29(5): 13261336.

［17］江帆，黄鹏. Fluent高级应用与实例分析［M］. 北京: 清华大学出版社, 2008.

［18］Wen C Y, Yu Y H. Mechanics of Fluidization［J］. Chem Eng Prog Symp Series, 1966, 62:100111.

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