纳米流体强化传热研究分析

文中综述了目前国内外对于纳米流体强化传热技术的研究情况,分析了纳米流体的强化传热机理及添加纳米粒子后对液体的物性参数--粘度、比热、密度、流体流动的影响;说明了石墨/水纳米流体及Fe3O4/水纳米流体导热系数和对流换热系数测量实验的原理及结果,并对结果进行了分析,实验结果表明纳米流体强化了传热.     

石墨烯量子点GQDs纳米流体导热系数模型

本文综合考虑布朗运动、纳米液膜层、粒子簇、微尺寸效应等多种因素的影响，建立了石墨烯量子点（GQDs）强化基液导热系数计算模型，使用Hot Disk热常数分析仪测量去离子水和质量分数分别为0.002%、0.004%、0.006%、0.008%、0.01%的GQDs纳米流体的热导率进行验证，并且用预测模型对更高温度和更高质量分数GQDs纳米流体的导热系数进行了预测。研究表明，模型预测误差不超过2.5%，准确度较高，可以很好地预测不同质量分数GQDs纳米流体在不同温度下的导热系数；GQDs纳米流体由于布朗运动引起的类似对流换热的作用提升了导热系数；而GQDs的添加比例并非越大越好，添加比例过高反而会产生沉降效果，抑制导热系数的提升。     

新型传热工质纳米流体的研究与应用

介绍了一种在强化传热领域具有广阔应用前景的新型传热（冷却）工质——纳米流体，分析了纳米流体的导热机理、导热性能以及影响其导热系数的各种因素，阐述了纳米流体对流换热性能的研究、纳米流体的制备及其稳定性和应用前景。     

内燃机冷却系统中应用纳米流体强化传热研究综述

内燃机工作时依赖冷却系统将多余热量及时带走以保证燃烧室核心部件及润滑油膜的正常工作温度。常规内燃机冷却介质导热系数偏低,而新一代强化传热工质纳米流体具有明显提升的传热性能,应用于内燃机冷却系统有利于强化内燃机传热及提高热管理性能。且由于纳米流体的传热性能受纳米粒子的种类、大小、浓度、形状等因素影响,可以通过改变这些因素控制内燃机冷却水腔的传热量。综述了国内外研究者针对纳米流体导热系数与对流换热性能开展的试验测试、理论分析和计算机模拟研究工作,以及纳米流体应用于内燃机冷却系统中强化传热的进展,最后指出当前研究工作的不足及未来工作方向。     

纳米流体传热强化技术

主要汇总了国内外纳米流体传热强化技术的研究成果,对纳米流体传热强化技术的国内外研究发展状况进行了综述;针对纳米流体的物性参数及流动情况,分析了纳米流体的强化传热机理;并具体阐述了纳米流体的主要物性参数——导热系数和粘度的影响因素;叙述了纳米流体的在各个领域中的应用并对其未来进行了展望。     

纳米流体导热系数的影响因素分析

采用"两步法"制备质量分数为0.5%、1.0%、2.0%和4.0%的Cu-乙二醇纳米流体,添加了聚乙烯吡咯烷酮(PVP)和十二烷基苯磺酸钠(SDS)作为表明活性剂。利用Hot Disk 2500s热常数分析仪测试Cu-乙二醇纳米流体导热系数,在分析温度和颗粒浓度对其导热系数的影响基础上,重点研究了两种不同表面活性剂及添加量对纳米流体导热系数的影响。结果表明:Cu-乙二醇纳米流体的导热系数随质量分数的增大而增大,随温度的升高而增大。添加了PVP的纳米流体导热系数随PVP的添加量增加呈先增加后减小的趋势,但添加了SDS的纳米流体的导热系数小于无表明活性剂时纳米流体导热系数。适当的纳米颗粒浓度与PVP表面活性剂浓度比例,对提高Cu-乙二醇纳米流体的导热系数有帮助。     

RT6/纳米铝相变蓄冷材料的热物性研究

石蜡类相变材料RT6相变潜热高,相变温度低,化学性质稳定,但其具有导热系数低,蓄能时间长的缺点,固采用纳米粒子强化换热。通过粒度观测法选取分散稳定性较好的纳米Al粒子制备纳米相变材料,实验分析强化后的相变过程、纳米流体石蜡/纳米铝的导热性和相变特性。实验结果表明,复合材料稳定性好,相变温度基本不变为4～8℃,相变焓值略有下降,但导热系数明显提高,可以作为蓄冷系统的新型蓄冷材料广泛应用。     

CuO-ZnO混合纳米流体导热系数影响分析

采用"两步法"制备了质量分数分别为1.0%,2.0%,3.0%,5.0%的CuO-ZnO混合纳米流体,制备过程中不添加分散剂。混合纳米流体选用乙二醇与去离子水作为基液,二者质量比(φv=EG:DW)分别为20:80,40:60,50:50,60:40和80:20,CuO与ZnO的质量比为温度范围从25℃到60℃,研究了不同比例基液、温度和质量分数对纳米流体导热系数的影响。结果表明:导热系数随混合纳米流体质量分数和温度的升高而增大。在温度为60℃时,质量分数为5.0%,基液比例φv为20:80的混合纳米流体导热系数增幅最大为26.1%。混合纳米流体的导热系数随乙二醇比例的增加而降低。实验还发现混合纳米流体导热系数与基液比例呈线性关系。     

建立余热回收中纳米工质的导热系数预测模型

采用两步法制备质量分数为1%的Cu/Al2O3-H2O/EG混合纳米流体。首先,研究其导热系数随温度和基液混合比的变化情况。然后,根据多项式回归理论建立Cu/Al2O3-H2O/EG混合纳米流体的导热系数预测模型。实验结果表明,纳米流体的稳定性随乙二醇含量的增大而增强,由于不同种类粒子间的分子吸附力不同,导致相同种类粒子容易结合形成团聚体,而Cu粒子与Al2O3粒子的团聚体则较少。导热系数随着温度的升高非线性升高,随基液中水含量的增大而下降。根据实验数据,拟合了导热系数与温度及基液混合比的多项式预测模型,回归系数R2达0. 998,精度较高可以很好地预测Cu/Al2O3-H2O/EG混合纳米流体的导热系数。该模型可以指导工程应用。     

纳米流体在车用机油冷却器中的强化换热试验研究

为了探求新型冷却介质--纳米流体的换热效果,制备了不同粒子体积分数的氧化铝有机纳米流体,并在车用机油冷却器中进行了换热性能的试验研究.研究结果表明:添加纳米粒子能够有效提高纳米流体基础液体的换热能力,且换热能力随着粒子体积分数的增加 而增高.在不同温度和温差条件下,粒子体积分数为5%的纳米流体的传热量和换热系数均超过常规冷却介质(水和防冻液).纳米流体的黏度和流动阻力亦随着粒子体积分数增加而增加.当冷、热介质的进口温差不变时,提高冷却介质的进口温度能在明显增强换热能力的同时大幅度降低流动阻力,并且纳米流体换热能力的增幅要高于防冻液和基础液体.     

The micro‐/nano‐PCMs for thermal energy storage systems: A state of art review

With advancement in technology—nanotechnology, various thermal energy storage (TES) materials have been invented and modified with promising thermal transport properties. Solid‐liquid phase change materials (PCMs) have been extensively used as TES materials for various energy applications due to their highly favourable thermal properties. The class of PCMs, organic phase change materials (OPCMs), has more potential and advantages over inorganic phase change materials (IPCMs), having high phase change enthalpy. However, OPCMs possess low thermal conductivity as well as density and suffer leakage during the melting phase. The encapsulation technologies (ie, micro and nano) of PCMs, with organic and inorganic materials, have a tendency to enhance the thermal conductivity, effective heat transfer, and leakage issues as TES materials. The encapsulation of PCMs involves several technologies to develop at both micro and nano levels, called micro‐encapsulated PCMs (micro‐PCM) and nano‐encapsulated PCMs (nano‐PCM), respectively. This study covers a wide range of preparation methods, thermal and morphological characteristics, stability, applications, and future perspective of micro‐/nano‐PCMs as TES materials. The potential applications, such as solar‐to‐thermal and electrical‐to‐thermal conversions, thermal management, building, textile, foam, medical industry of micro‐ and nano‐PCMs, are reviewed critically. Finally, this review paper highlights the emerging future research paths of micro‐/nano‐PCMs for thermal energy storage.     

Experimental studies on the thermal performance of a parabolic dish solar receiver with the heat transfer fluids SiC + water nano fluid and water

An experimental investigation has been carried out with aa point focusing dish reflector of 12 square meters aperture area,exposed to the average direct normal irradiations of 810 W/m2.This work focuses on enhancinge the energy and exergy efficiencies of the cavity receiver by minimizing the temperature difference between the wall and heat transfer fluids.Two heat transfer fluids Water and SiC + water nano fluid have been prepared from 50 nm particle size and 1％ of volume fraction,and experimented separately for the flow rates of 0.2 lpm to 0.6 lpm with an interval of 0.1 lpm.The enhanced thermal conductivity of nano fluid is 0.800115 W/mK with the keff/kb ratio of 1.1759 determined by using the Koo and Kleinstreuer correlation.The maximum attained energy and exergy efficiencies are 29.14％ and 24.82％ for water,and 32.91％ and 39.83％ for SiC+water nano fluid.The nano fluid exhibits enhanced energy and exergy efficiency of 12.94％ and 60.48％ than that of water at the flow rate of 0.5 lpm.The result shows that the system with SiC+Water produces higher exergy efficiency as compared to energy efficiency;in the case ofwater alone,the energy efficiency is higher than exergy efficiency.     

Study the Heat Recovery Performance of Micro and Nano Metfoam Regenerators in Alpha Type Stirling Engine Conditions

This paper experimentally investigates the performance of micro and nano metfoam regenerators in alpha-type Stirling engine conditions. The thermal efficiency of this engine depends on performance of regenerator. Therefore, increase the heat recovery of regenerator raises the total efficiency. Accordingly, two types of regenerators from porous media are designed and simulated with different materials. Three-dimensional regenerator CFD simulation shows that randomize porous open cell metfoam made of silver as high conductivity and high heat capacity material is the best structure to fabricate metfoam regenerator. The porosity and matrix element diameter are optimized. The nano coating methodology enhances the activated surface. The regenerators are fabricated using casting polymer mold layer deposition. The nano silver particles are coated on the metfoam by sol-gel coating method. Experimental results show the improvement in regenerator percentage of heat recovery by 3.40% and 5.93% for micro metfoam and nano metfoam, respectively. The maximum improvement is achieved up to 8.65% in case of using the nano metfoam regenerator at 543 K.     

Influence of CuO nanoparticles in enhancing the thermal conductivity of water and monoethylene glycol based nanofluids

In this paper the effect of CuO nanoparticles on the thermal conductivity of base fluids like mono ethylene glycol and water was studied. Both the base fluids showed enhancement in effective thermal conductivity. This enhancement was investigated with regard to various factors; concentration of nanoparticles, types of base fluids, sonication time and settlement time. For both the base fluids, an improvement in thermal conductivity was found as concentration of nanoparticles increased due to interaction between particles. It was also found that as the sonication time was increased, there was furthermore an improvement in the thermal conductivity of the base fluids. Effect of base fluids is the complex idea to understand. Lower base fluid's viscosities are supposed to contribute grater enchantment, but another factor of fluid nanoparticles surface interaction also more important. The experimentally measured thermal conductivities of base fluid's nanoparticles suspension were compared to a variety of models (Maxwell, Hamilton–Crosser and Bruggeman Model). It is observed that none of the mentioned models were found to predict accurately the thermal conductivities of nanofluids.     

A revised viscoelastic micropolar nanofluid model with motile micro‐organisms and variable thermal conductivity

In the present study, a magnetized micropolar nanofluid and motile micro‐organism with variable thermal conductivity over a moving surface have been discussed. The mathematical modeling has been formulated using a second‐grade fluid model and a revised form of the micropolar fluid model. The governing fluid contains micro‐organisms and nanoparticles. The resulting nonlinear mathematical differential equations have been solved with the help of the homotopy analysis method. The graphical and physical features of buoyancy force, micro‐organisms, magnetic field, microrotation, and variable thermal conductivity have been discussed in detail. The numerical results for Nusselt number, motile density number, and Sherwood number are presented with the help of tables. According to the graphical effects, it is noted that the buoyancy ratio and the bioconvection parameter resist the fluid motion. An enhancement in the temperature profile is observed due to the increment in thermal conductivity. Peclet number tends to diminish the motile density profile; however, the viscoelastic parameter magnifies the motile density profile.     

A Review of Thermal Conductivity Models for Nanofluids

Nanofluids, as new heat transfer fluids, are at the center of attention of researchers, while their measured thermal conductivities are more than for conventional heat transfer fluids. Unfortunately, conventional theoretical and empirical models cannot explain the enhancement of the thermal conductivity of nanofluids. Therefore, it is important to understand the fundamental mechanisms as well as the important parameters that influence the heat transfer in nanofluids. Nanofluids’ thermal conductivity enhancement consists of four major mechanisms: Brownian motion of the nanoparticle, nanolayer, clustering, and the nature of heat transport in the nanoparticles. Important factors that affect the thermal conductivity modeling of nanofluids are particle volume fraction, temperature, particles size, pH, and the size and property of nanolayer. In this paper, each mechanism is explained and proposed models are critically reviewed. It is concluded that there is a lack of a reliable hybrid model that includes all mechanisms and influenced parameters for thermal conductivity of nanofluids. Furthermore, more work needs to be conducted on the nature of heat transfer in nanofluids. A reliable database and experimental data are also needed on the properties of nanoparticles.     

Radiative properties of nanofluids

Compared to thermal conductivity and convection studies with nanofluids; the optical and radiative properties of nanofluids have received much less interest. However, very recently, the number of studies on radiative heat transfer in nanofluids has been increasing. This is due to the fact that, in general, a composite nanofluid has different properties than those found in either the base fluid or the particles. At high temperatures, knowledge of the resultant radiative properties becomes increasingly significant. The concept of using direct absorbing nanofluid (suspension formed by mixing nanoparticles and a liquid) recently been shown numerically and experimentally to be an efficient method for harvesting solar thermal energy. Nanofluid is a product of emerging field of nanotechnology, where nanoparticles (1–100 nm in size) are mixed with conventional base fluids (water, oils, glycols, etc.). Nanofluids as an innovative class of heat transfer fluids represent a rapidly emerging research field where nano-science and thermal engineering coexist. Nanofluids are considered to be a two-phase system, comprised of a solid and a liquid phase. Compared to the base fluids like water or oil, nanofluids feature enhanced thermo-physical properties such as thermal diffusivity, viscosity, thermal conductivity, convective heat transfer coefficients, and optical properties. They offer unprecedented potential in many applications. Recent development in solar thermal collectors is the use of nanofluids to absorb the light directly. There is much current work going on the use of nanoparticles in several applications. With thousands of papers published every year, a comprehensive literature survey is impossible, and only selected representative publications are cited in this paper, particularly as they concern fundamental scientific insights on the fundamental optical properties of nanofluids.     

Microencapsulated dimethyl terephthalate phase change material for heat transfer fluid performance enhancement

Micro‐phase change materials (micro‐PCMs) are proposed to increase the thermal conductivity and the thermal energy storage capacity of a heat transfer fluid (HTF). In this work, we have selected dimethyl terephthalate (DMT) to be used as a PCM for performance enhancement of a synthetic oil in the temperature range of approximately 100 to 170 °C. Silicon dioxide (SiO₂) was used as the microencapsulant, because of its desirable properties as containment material, including thermal stability. The SiO₂‐coated DMT micro‐PCM was characterized to determine relevant properties and its suitability for HTF performance enhancement. The SiO₂‐coated DMT was found to completely disperse in the synthetic oil, Therminol SP, silicone oil, at and above 100 °C. FTIR, thermal diffusivity and differential scanning calorimetry measurements were carried out on the materials, and these tests demonstrated that the coated particles can be used for HTF enhancement in the temperature range of 100–170 °C and potentially higher temperatures if pressurized pipes/vessels are utilized. Using the measured thermal diffusivity and known data for density and specific heat capacity, the thermal conductivity of the micro‐PCM was calculated. Our calculations indicate that both the thermal conductivity and the thermal energy storage heat capacity of the HTF would be enhanced by the addition of this micro‐PCM. It is expected that the thermal conductivity increase will enhance the heat transfer of the fluid when in use at temperatures above and below the melting temperature of the PCM. At the melting point, the latent heat of the PCM will increase the thermal energy storage capacity of the fluid. Copyright © 2016 John Wiley & Sons, Ltd.     

An improved thermal lattice Boltzmann model for rarefied gas flows in wide range of Knudsen number

In order to covering a wide range of the flow regimes, a new relaxation time formulation for the lattice Boltzmann method, LBM, by considering the rarefaction effect on the viscosity and thermal conductivity has been presented. To validate the presented model, fully developed pressure driven flow and developing thermal flow in micro/nano channel have been modeled. The results show that in spite of the standard LBM, the velocity and temperature distributions, the volumetric flow rate and the local Nusselt number obtained from this modified thermal LBM, agree well with the other numerical and empirical results in a wide range of Knudsen numbers.     

Experimentally measured thermal transport properties of aluminum–polytetrafluoroethylene nanocomposites with graphene and carbon nanotube additives

Reactive materials such as aluminum (Al) and polytetrafluoroethylene (Teflon) are used for energy generation applications and specifically in ordnance technologies. With the advent of nanotechnology various nano-scale additives have become incorporated into reactive material formulations with the hope of enhanced performance. An important component to the study of energy generation is an examination of energy transport through a reactant matrix. This study examines an experimental approach to quantifying thermal properties of an Al/Teflon nanocomposite reactant matrix that has been impregnated with carbon additives. Various structures of carbon are investigated and include amorphous nanoscale carbon spheres (nano C), graphene flakes and unaligned multiwalled carbon nanotubes (CNTs). The additives were selected based on their completely different structures with the hypothesis that the structure of the additive will influence the thermal transport properties of the matrix. Results show graphene has the greatest influence on the thermophysical properties. For example, thermal conductivity of the composites containing graphene increased by 98%. Graphene similarly enhanced the thermal diffusivity and specific heat of the Al/Teflon matrix. Conversely, nano C and CNTs decreased the thermal conductivity and thermal diffusivity of the samples significantly.