基于Lattice-Boltzmann方法的纳米流体流动与传热分析

纳米流体是由流体与纳米粒子组成的悬浮体。由于悬浮的纳米粒子会受到各种内力或外力的影响,这使得其运动规律和换热规律及其复杂。本文运用Lattice-Boltzmann(LB)方法建立纳米流体的传热模型,并对纳米流体和水的流动换热参数进行比较分析。     

纳米流体多相流动的多尺度模拟方法

针对纳米流体多相流动的微观特征,提出一种基于格子Boltzinann的多尺度耦合方法,在速度和悬浮纳米粒子分布变化比较剧烈的区域采用细网格多相模型,在其它区域视纳米流体为均匀混合的单相流体,使用粗网格单相模型.为保证不同尺度区域之间的物理信息(参数)的准确传递,运用质量和动量守恒原理,建立跨区域的边界耦合模型.几个算例表明,该方法既可以反映纳米流体流动的微观特征,又能提高计算效率,与单纯使用多相模型相比,节省大量时间.     

纳米流体的聚集结构和导热系数模拟

本文根据布朗运动理论模拟纳米粒子在流体中的聚集过程，运用分形理论描述纳米粒子团的结构．考虑纳米粒子的运动传热，建立纳米流体的导热系数模型，理论预测值与实验结果显现了良好的一致性。     

纳米流体强化传热研究

本文通过在液体中添加纳米级金属或金属氧化物粒子,研制了一种新型传热冷却工质—纳米流体,并对纳米流体的悬浮稳定性和均匀性进行了研究,给出的纳米流体电镜照片显示了悬浮液具有较高的分散性、稳定性;同时,介绍了纳米流体导热系数的理论分析方法,运用瞬态热线法测定了不同种类、不同体积份额配比的纳米流体的导热系数,分析了纳米粒子属性、份额、形状和尺度等因素对纳米流体导热系数的影响。     

粒子在锥形管中运动的晶格玻尔兹曼方法研究

运用晶格玻尔兹曼方法对单个悬浮粒子在锥形管中的运动进行了数值计算, 给出了锥形管流体的速度分布和压力分布等. 粒子所受的流体作用力分别用动量交换法、改进的动量交换法和压力张量积分法进行计算. 分析了在不同初始位置释放的粒子的运动轨迹和速度变化情况, 结果表明压力张量积分法和改进的动量交换法的计算结果一致, 而没有改进的动量交换法的计算结果和前两者略有不同. 关键词： 晶格玻尔兹曼方法 锥形管 悬浮粒子 改进的动量交换法     

纳米强化氨水发生过程机理分析

提出一种可以直接测试有、无纳米氨水溶液氨气发生量的氨水纳米降膜发生实验装置,通过有、无纳米的氨水溶液对比实验,发现添加合适纳米颗粒能够增加氨气发生率。结合氨水纳米溶液降膜发生过程试验结果,以及前人关于纳米颗粒强化传热传质方面的研究,分别从纳米粒子的微运动、界面效应、Marangoni效应、纳米流体物性等方面进行强化发生机理分析,证明纳米流体的粒子微运动和纳米流体的物性是纳米流体强化氨水降膜发生的两大主要因素。     

纳米流体中固-液作用影响界面热阻及导热率的分子动力学研究

纳米流体中固-液界面处由于声子散射形成界面热阻,给纳米流体内热量传递带来阻力。为研究界面热阻对纳米流体导热率的影响,以Cu-Ar纳米流体为基础模型,采用非平衡分子动力学方法研究了纳米粒子-流体相互作用强度与界面热阻的定量关系。研究表明,随着纳米粒子-流体相互作用强度增大,界面热阻显著降低,其机制在于流体分子的吸附作用增强了纳米粒子表面原子的振动强度,从而促进了纳米粒子与流体之间的热传递。增大纳米粒子-流体相互作用强度可显著提高纳米流体导热率,且界面热阻对纳米流体导热率的影响程度随纳米粒子尺寸减小而增大。     

假塑性流体纳米压印中影响填充度的因素

作为新一代的半导体加工工艺, 直接金属纳米压印以其步骤简单、成本低等显著优点得到迅速的发展. 然而目前纳米压印中所采用的转移介质在流动状态下为牛顿流体, 牛顿流体的黏度是一个常量, 而假塑性流体具有黏度随着剪切速率的增大而逐渐减小的趋势, 更适用于纳米压印. 综合假塑性流体的剪切稀化特性以及直接金属图形转移的优点, 将不同大小的金属纳米粒子分散在基液中制成假塑性金属纳米流体并将其作为转移介质用于纳米压印中. 基于假塑性流体的Carreau流变模型利用COMSOL软件仿真分析金属纳米粒子假塑性流体参数集对图形压印转移的影响, 完成假塑性流体与牛顿流体分别作为转移介质实现图形转移的对比分析. 同时还得到了压印过程中影响填充度的各个因素, 如流体黏度、施加压强、掩模板移动速度等. 研究工作为金属纳米粒子假塑性流体制备以及纳米压印流程的设计提供了理论基础. 关键词： 纳米压印 假塑性流体 填充度     

层流入口段中单个固体粒子的径向迁移

一、引言 许多实验表明悬浮粒子在圆管层流中出现径向迁移。这是因为粒子在入口段剪切场中受到一个垂直于粒子运动方向的升力作用,该升力是由粒子与流体之间的速度差和剪切层共同作用而产生的,因此建立了基于惯性-涡量诱导作用的粒子穿越流线迁移的流体动力模型。本文首先计算分析圆管入口段的速度场分布,然后采用该模型分别研究粒子在入口段核心区速度变化情况和在剪切区的运动轨迹,并用自行研制的CCD粒子轨迹记录系统记录了粒子在层流入口段中的运动轨迹。     

致密油藏微纳米喉道中的边界层特征

通过引入吸引力修正耗散粒子动力学(DPD)方法,实现流体和固体的相互吸引作用,模拟纳米喉道中的微尺度流动,探讨边界层的产生机理,结合微圆管实验,定量表征微纳米喉道中边界层的特征,明确微纳米喉道中边界层的影响因素.研究发现:分子尺度,热运动对速度影响很大;超过分子尺度,压差占主导作用.热运动使粒子在原位置振动,不改变粒子的整体移动方向.随着喉道半径的增大,泊肃叶流动的抛物线特征越来越明显.边界层厚度受压力梯度、喉道半径和流体粘度的影响.当压力梯度增大或流体粘度减小时,边界层厚度增大;当喉道半径减小时,边界层厚度先增大后减小.边界层厚度是导致非线性渗流特征的根本原因.随着边界层厚度增大,非线性渗流特征越来越明显.     

Convective Heat Transfer of a Cu/Water Nanofluid Flowing Through a Circular Tube

Abstract

Fluids in which nanometer-sized solid particles are suspended are called nanofluids. These fluids can be employed to increase the heat transfer rate in various applications. In this study, the convective heat transfer for Cu/water nanofluid through a circular tube was experimentally investigated. The flow was laminar, and constant wall temperature was used as thermal boundary condition. The Nusselt number of nanofluids for different nanoparticle concentrations, as well as various Peclet numbers, was obtained. Also, the rheological properties of the nanofluid for different volume fractions of nanoparticles were measured and compared with theoretical models. The results show that the heat transfer coefficient is enhanced by increasing the nanoparticle concentrations as well as the Peclet number.     

方腔内Cu/Al2O3水混合纳米流体自然对流的格子Boltzmann模拟

纳米流体作为一种较高的导热介质, 广泛应用于各个传热领域. 鉴于纳米颗粒导热系数和成本之间的矛盾, 本文提出了一种混合纳米流体. 为了研究混合纳米流体颗粒间相互作用机理和自然对流换热特性, 在考虑颗粒间相互作用力的基础上, 利用多尺度技术推导了纳米流体流场和温度场的格子Boltzmann方程, 通过耦合流动和温度场的演化方程, 建立了Cu/Al₂O₃水混合纳米流体的格子Boltzmann模型, 研究了混合纳米流体颗粒间的相互作用机理和纳米颗粒在腔体内的分布. 发现在颗粒间相互作用力中, 布朗力远远大于其他作用力, 温差驱动力和布朗力对纳米颗粒的分布影响最大. 分析了纳米颗粒组分、瑞利数对自然对流换热的影响, 对比了混合纳米流体(Cu/Al₂O₃-水)与单一金属颗粒纳米流体(Al₂O₃-水)的自然对流换热特性, 发现混合纳米流体具有更强的换热特性.     

Physics and mechanics of heat exchange processes in nanofluid flows

Nanofluids present a new type of dispersed fluids consisting of a carrier fluid and solid nanoparticles. Unusual properties of nanofluids, particularly high thermal conductivity, make them eminently suitable for many thermophysical applications, e.g., for cooling of equipment, designing of new heat energy transportation and production systems and so on. This requires a systematic study of heat exchange properties of nanofluids. The present paper contains the measurement results for the heat transfer coefficient of the laminar and turbulent flow of nanofluids on the basis of distilled water with silica, alumina and copper oxide particles in a minichannel with circular cross section. The maximum volume concentration of particles did not exceed 2%. The dependence of the heat transfer coefficient on the concentration and size of nanoparticles was studied. It is shown that the use of nanofluids allows a significant increase in the heat transfer coefficient as compared to that for water. However, the obtained result strongly depends on the regime of flow. The excess of the heat transfer coefficient in the laminar flow is only due to an increase in the thermal conductivity coefficient of nanofluid, while in the turbulent flow the obtained effect is due to the ratio between the viscosity and thermal conductivity of nanofluid. The viscosity and thermal conductivity of nanofluids depend on the volume concentration of nanoparticles as well as on their size and material and are not described by classical theories. That is why the literature data are diverse and contradictory; they do not actually take into account the influence of the mentioned factors (size and material of nanoparticles). It has been shown experimentally and by a molecular dynamics method that the nanofluid viscosity increases while the thermal conductivity decreases with the decreasing dispersed particle size. It is found experimentally for the first time that the nanofluid viscosity coefficient depends on the particle material. The higher is the density of particles, the higher is the thermal conductivity coefficient of nanofluid.     

Intriguingly high convective heat transfer enhancement of nanofluid coolants in laminar flows

We reported on investigation of the convective heat transfer enhancement of nanofluids as coolants in laminar flows inside a circular copper tube with constant wall temperature. Nanofluids containing Al₂O₃, ZnO, TiO₂, and MgO nanoparticles were prepared with a mixture of 55 vol.% distilled water and 45 vol.% ethylene glycol as base fluid. It was found that the heat transfer behaviors of the nanofluids were highly depended on the volume fraction, average size, species of the suspended nanoparticles and the flow conditions. MgO, Al₂O₃, and ZnO nanofluids exhibited superior enhancements of heat transfer coefficient, with the highest enhancement up to 252% at a Reynolds number of 1000 for MgO nanofluid. Our results demonstrated that these oxide nanofluids might be promising alternatives for conventional coolants.     

Pumping power of nanofluids in a flowing system

Nanofluids have the potential to increase thermal conductivities and heat transfer coefficients compared to their base fluids. However, the addition of nanoparticles to a fluid also increases the viscosity and therefore increases the power required to pump the fluid through the system. When the benefit of the increased heat transfer is larger than the penalty of the increased pumping power, the nanofluid has the potential for commercial viability. The pumping power for nanofluids has been considered previously for flow in straight tubes. In this study, the pumping power was measured for nanofluids flowing in a complete system including straight tubing, elbows, and expansions. The objective was to determine the significance of two-phase flow effects on system performance. Two types of nanofluids were used in this study: a water-based nanofluid containing 2.0–8.0 vol% of 40-nm alumina nanoparticles, and a 50/50 ethylene glycol/water mixture-based nanofluid containing 2.2 vol% of 29-nm SiC nanoparticles. All experiments were performed in the turbulent flow region in the entire test system simulating features typically found in heat exchanger systems. Experimental results were compared to the pumping power calculated from a mathematical model of the system to evaluate the system effects. The pumping power results were also combined with the heat transfer enhancement to evaluate the viability of the two nanofluids.     

Modeling of nanoparticles’ aggregation and sedimentation in nanofluid

The aggregation and sedimentation of nanoparticles in nanofluid have significant influences on the stability and applicability of nanofluids. The objective of this study is to propose a model to predict the nanoparticles’ aggregation and sedimentation characteristics. The characteristics are evaluated by the concentration of nanoparticles in nanofluid at different time. The concentration of nanoparticles can be calculated according to the speed and location of each nanoparticle. Then, the speed and location of each nanoparticle can be yielded when the forces on each nanoparticle are determined. For the forces on nanoparticles are related to the space structure of nanoparticle clusters, the clusters’ space structures are simulated. Case study shows that the mean deviation of predicted nanoparticle concentration from experimental data for Fullerence + H₂O, Fullerence + Oil and CuO + Oil nanofluids are 25%, 16% and 13%, respectively. The model can provide quantitative prediction of the aggregation and sedimentation characteristics of nanoparticles in nanofluid.     

封闭腔内纳米流体强化自然对流换热的数值模拟

采用F luen软件对封闭腔内Cu-H2O纳米流体强化自然对流换热进行了数值模拟,重点分析Cu纳米粒子添加量和Gr数对换热性能的影响,并解释其换热机理。研究结果表明:在水基液中加入Cu纳米粒子可以显著提高基液的自然对流换热特性。对于一给定的Gr数,随着纳米粒子质量分数的增加,纳米流体的速度组成部分增加,纳米流体质量分数越大,x方向和y方向的速度峰越大,因此加速了流体中能量传输。另一方面,随着Gr数的增加,流线图中旋涡逐渐变大,流线间强度增加,说明换热效果逐渐增强。当Gr数较小时,传热主要是由热壁和冷壁之间的热传导引起的,随着Gr数的增大,换热逐渐变为由对流换热占主导地位。     

Experiment and Lattice Boltzmann numerical study on nanofluids flow in a micromodel as porous medium

Al₂O₃ nanofluids flow has been studied in etched glass micromodel which is idealization of porous media by using a pseudo 2D Lattice Boltzmann Method (LBM). The predictions were compared with experimental results. Pressure drop / flow rate relations have been measured for pure water and Al₂O₃ nanofluids. Because the size of Al₂O₃ nanoparticles is tiny enough to permit through the pore throats of the micromodel, blockage does not occur and the permeability is independent of the nanofluid volume fraction. Therefore, the nanofluid behaves as a single phase fluid, and a single phase LBM is able to simulate the results of this experiment. Although the flow in micromodels is 3D, we showed that 2D LBM can be used provided an effective viscous drag force, representing the effect of the third dimension, is considered. Good qualitative and quantitative agreement is seen between the numerical and experimental results.