一种可测定生物体体表热导系数的装置

建立一台可测定生物体体表热导系数的试验装置。首先试验测定标准试样一新鲜甘油（ＡＲ级）及熔融石英玻璃（９９．９％ ＳｉＯ２）,其结果与 ＴＰＲＣ推荐值偏差≤ ０．７％;其次用试验方法证实本文所利用的Ｔａｋｅｇｏｓｈｉ理论模型的适用性;最后,根据生物活体会产生代谢热并维持恒定体温的特点,指出应用本装置去测定生物活体体表热导系数时必须满足的若干前提条件。     

高温超导体Hg0.9Tl0.2Ba2Ca2Cu3O8+δ的热导

测量了高温超Ｈｇ０．９Ｔｌ０．２Ｂａ２Ｃａ２Ｃｕ３Ｏ８＋δ的热导率,温度范围为２０～３００Ｋ。在超导转变温度Ｔｃ以下观察到热导率明显的增加。在６５Ｋ（～０．５Ｔｃ）附近,超导体的热导率表达到了一个宽的极大,热导率的极大值为的１．６倍。用正常态电子散射的模型对实验结果进行了拟合。     

La1-xCaxMnO3材料的热导与电导

实验研究了两个典型掺杂的La1-xCaxMnO3(x=0.3和x=0.6)样品的热导率与电导率随温度的变化关系,测量温区为77－300K。样品的热导率与电导率的温度曲率之间有着很大的相似性：在高温部分,两个样品的电导率均随温度降低而下降,热导率也呈现类似的温度关系;在低温部分,两个样品的电导率呈现相反的温度关系,热导率的变化也截然不同。而且,在La1-xCaxMnO3多晶材料中,电导率很小,使得电子直接贡献的热导部分微乎其微。分析指出,La1-xCaxMnO3巨磁阻材料中由Jahn-Teller效应引起的晶格畸变,受到电子状态的直接影响和制约,从而对热导产生不同的作用。     

用扫描热显微镜测量微小区域热导性质的探讨

随着高新技术的迅速发展,许多研究对象已进入亚微米和纳米范畴。在对这些对象的热性能和热可靠性的研究中,亚微米尺度的热物性测量已成为关键技术之一。例如：在微电子、微电子机械系统（MEMS）领域中,已使用纳米量级厚度的材质和做出纳米尺度线宽的器件。在材料科学、生物学、医学和化学等许多领域,高空间分辨率下的热物性测量也具有重要意义。本文经过实验;初步用扫描热显微镜判定了微小区域材料热导性质的差别,并从理论上探讨了用该仪器测量微小区域热导性质的方法原理。     

基于热子气模型分析纳米梯形板的热整流机理

本文基于热质概念和热-流比拟将固体导热问题转化为热子气的流动问题,研究了纳米梯形板导热的热整流现象。采用Monte Carlo数值模拟揭示了梯形微通道内气流的整流比随通道夹角的变化规律,并以此分析了纳米梯形板导热的热整流规律,与文献中的分子动力学模拟结果符合较好,从而验证了热子气模型的有效性。通过分析压差驱动力与壁面摩擦阻力随梯形通道夹角的变化关系初步揭示了纳米梯形板热整流效应的机制。     

低温下粗糙表面接触间隙气体热导的研究

对低温非真空环境下粗糙接触界面间隙中介质气体的传热进行了理论分析．依据克努森数的大小,建立了不同传热区域的间隙气体热导理论模型．并对影响接触界面间隙热导的克努森数、普朗特数、热导率、适应系数、压力等参数进行了分析,为实际情况下接触界面的传热提供了理论基础．而且通过实验证明了在界面接触压力较小的情况下,即使对于硬度较小导热性能好的接触固体,间隙气体的导热量仍大于通过实际接触点的导热量．     

膨胀石墨/纳米纤维素柔性热管理材料的制备及其性能研究

近年来柔性电子器件发展迅速,但是尚缺乏高效的热管理材料。本文以膨胀石墨作为高导热基体,以天然纳米纤维素作为粘合剂,制备了用于柔性热管理的复合薄膜,并研究了2种不同的纳米纤维素制备方法对薄膜性能的影响。结果表明,TEMPO氧化法制得的纳米纤维素对应的复合薄膜的强度和韧度分别是超声剥离法制得薄膜的15倍和14倍,而不同的制备方法对复合薄膜的热导率几乎没有影响。TEMPO氧化法制得的复合薄膜同时具有高热导率(16.32 W·m^-1·K^-1)、高强度(110 MPa)和高韧度(1.09 MJ·m^-3),是理想的柔性热管理材料。     

多通道石墨纳米带中弹性声学声子输运和热导特性

采用非平衡格林函数方法, 在保持总的能量输出通道中石墨链数不变的条件下, 研究并比较了并列的石墨纳米带通道中弹性声学声子输运和热导特性. 结果表明, 能量输出通道的增加能降低每个能量输出通道的热导; 与能量输入热库最近的能量输出通道热导最大, 最远的能量输出通道热导最小; 中间能量输出通道的热导性质与并列的各输出通道的结构参数密切相关, 最近和最远的能量输出通道的热导性质仅与各自能量输出通道的结构参数有关; 粗糙边缘结构能有效调节各通道的热导; 总的热导性质与能量输出通道石墨链数、能量输出通道数以及边缘结构粗糙程度密切相关.     

电介质材料辐射感应电导率的模型研究

在传统的Rose-Fowler-Vaisberg(RFV)模型基础上引入辐射激发项，解释了辐射感应电导率与辐射剂量率的指数关系及范围.利用改进后的模型分析了不同辐射条件下材料感应电导率的变化情况，其结果表明，辐射剂量率主要影响感应电导率的大小，对感应电导率的整体变化趋势无显著影响，决定感应电导率长时间衰减的是材料载流子复合率.     

Investigation on characteristics of thermal conductivity enhancement of nanofluids

It has been shown that a nanofluid consisting of nanoparticles dispersed in base fluid has much higher effective thermal conductivity than pure fluid. In this study, four kinds of nanofluids such as multiwalled carbon nanotube (MWCNT) in water, CuO in water, SiO₂ in water, and CuO in ethylene glycol, are produced. Their thermal conductivities are measured by a transient hot-wire method. The thermal conductivity enhancement of water-based MWCNT nanofluid is increased up to 11.3% at a volume fraction of 0.01. The measured thermal conductivities of MWCNT nanofluids are higher than those calculated with Hamilton–Crosser model due to neglecting solid–liquid interaction at the interface. The results show that the thermal conductivity enhancement of nanofluids depends on the thermal conductivities of both particles and the base fluid.     

A new thermal conductivity model for nanofluids

In a quiescent suspension, nanoparticles move randomly and thereby carry relatively large volumes of surrounding liquid with them. This micro-scale interaction may occur between hot and cold regions, resulting in a lower local temperature gradient for a given heat flux compared with the pure liquid case. Thus, as a result of Brownian motion, the effective thermal conductivity, k_eff, which is composed of the particles conventional static part and the Brownian motion part, increases to result in a lower temperature gradient for a given heat flux. To capture these transport phenomena, a new thermal conductivity model for nanofluids has been developed, which takes the effects of particle size, particle volume fraction and temperature dependence as well as properties of base liquid and particle phase into consideration by considering surrounding liquid traveling with randomly moving nanoparticles.The strong dependence of the effective thermal conductivity on temperature and material properties of both particle and carrier fluid was attributed to the long impact range of the interparticle potential, which influences the particle motion. In the new model, the impact of Brownian motion is more effective at higher temperatures, as also observed experimentally. Specifically, the new model was tested with simple thermal conduction cases, and demonstrated that for a given heat flux, the temperature gradient changes significantly due to a variable thermal conductivity which mainly depends on particle volume fraction, particle size, particle material and temperature. To improve the accuracy and versatility of the k_effmodel, more experimental data sets are needed.     

Effect of multipolar interaction on the effective thermal conductivity of nanofluids

Nanofluids or liquids with suspended nanoparticles are likely to be the future heat transfer media, as they exhibit higher thermal conductivity than those of liquids. It has been proposed that nanoparticles are apt to congregate and form clusters, and hence the interaction between nanoparticles becomes important. In this paper, by taking into account the interaction between nearest-neighbour inclusions, we adopt the multiple image method to investigate the effective thermal conductivity of nanofluids. Numerical results show that then the thermal conductivity ratio between the nanoparticles and fluids is large, and the two nanoparticles are close up and even touch, and the point-dipole theory such as Maxwell--Garnett theory becomes rough as many-body interactions are neglected. Our theoretical results on the effective thermal conductivity of CuO/water and Al$_{2}$O$_{3}$/water nanofluids are in good agreement with experimental data.     

A micro-convection model for thermal conductivity of nanofluids

Increase in the specific surface area as well as Brownian motion are supposed to be the most significant reasons for the anomalous enhancement in thermal conductivity of nanofluids. This work presents a semi-empirical approach for the same by emphasizing the above two effects through micro-convection. A new way of modeling thermal conductivity of nanofluids has been explored which is found to agree excellently with a wide range of experimental data obtained by the present authors as well as the data published in literature     

计算导热系数的新公式

在传统的一维传热模型下导热系数的计算公式误差较大.本文通过建立试样内部的三维传热模型,更为科学地考虑了侧壁散热的影响,推导出了计算导热系数的新公式.以橡胶为研究材料进行实验,证明了新公式的合理性.引入影响因子P来衡量侧壁散热对系统的影响程度,分析得到P值随着试样厚度增加而增大.     

An experimental correlation approach for predicting thermal conductivity of water-EG based nanofluids of zinc oxide

In this study, the effects of temperature (20 °C<T<50 °C) and volume fracti°n (0<φ<4%) on the thermal conductivity of zinc oxide/ethylene glycol-water nanofluid have been presented. Nanofluid samples were prepared by a two-step method and thermal conductivity measurements were performed by a KD2 pro instrument. Results showed that the thermal conductivity increases uniformly with increasing solid volume fraction and temperature. The results also revealed that the thermal conductivity of nanofluids significantly increases with increasing solid volume fraction at higher temperatures. Moreover, it can be seen that for more concentrated samples, the effect of temperature was more tangible. Experimental thermal conductivity enhancement of the nanofluid in comparison with the Maxwell model indicated that Maxwell model was unable to predict the thermal conductivity of the present nanofluid. Therefore, a new correlation was presented for predicting the thermal conductivity of ZnO/EG-water nanofluid.     

Dispersibility dependence of thermal conductivity of carbon nanotube based nanofluids

A differential effective medium theory together with Brownian motion is used to predict Effective Thermal Conductivity (ETC) of CNT nanofluids. ETC was influenced significantly by Brownian motion and enhancement was higher in dilute nanofluids. A theoretical model employing an effective volume fraction with dispersibility factor agrees well with experimental data.     

The effect of particle size on the thermal conductivity of alumina nanofluids

We present new data for the thermal conductivity enhancement in seven nanofluids containing 8–282 nm diameter alumina nanoparticles in water or ethylene glycol. Our results show that the thermal conductivity enhancement in these nanofluids decreases as the particle size decreases below about 50 nm. This finding is consistent with a decrease in the thermal conductivity of alumina nanoparticles with decreasing particle size, which can be attributed to phonon scattering at the solid–liquid interface. The limiting value of the enhancement for nanofluids containing large particles is greater than that predicted by the Maxwell equation, but is predicted well by the volume fraction weighted geometric mean of the bulk thermal conductivities of the solid and liquid. This observation was used to develop a simple relationship for the thermal conductivity of alumina nanofluids in both water and ethylene glycol.     

A model for the thermal conductivity of nanofluids – the effect of interfacial layer

A model for predicting the effective thermal conductivity of nanofluids is proposed. It has been documented that the interfacial layer at the solid (particle)/liquid interface and particle size is one of the major mechanisms for enhancing the thermal conductivity of nanofluids. Comparing with other classical models, the proposed model takes into account some additional effects including volume fraction, thickness, thermal conductivity of the interfacial layer and particle size. The proposed model is found to be better than the existing models since the predicted effective thermal conductivity of different types of nanofluids are closer to the experimental results.     

Synthesis and electrical conductivity of nanocrystalline tetragonal FeS

A convenient method for synthesis of tetragonal FeS using iron powder as iron source, is reported. Nanocrystalline tetragonal FeS samples were successfully synthesized by reacting metallic iron powder with sodium sulfide in acetate buffer solution. The obtained sample is single-phase tetragonal FeS with lattice parameters a = 0.3767 nm and c = 0.5037 nm, as revealed by X-ray diffraction. The sample consists of fiat nanosheets with lateral dimensions from 20 nm up to 200 nm and average thickness of about 20 nm. We found that tetragonal FeS is a fairly good conductor from the electrical resistivity measurement on a pellet of the nanosheets. The temperature dependence of conductivity of the pellet was well fitted using an empirical equation wherein the effect of different grain boundaries was taken into consideration. This study provides a convenient, economic way to synthesize tetragonal FeS in a large scale and reports the first electrical conductivity data for tetragonal FeS down to liquid helium temperature.