超临界压力下国产航油RP-3导热系数的流动法测量

为了测量高温高压条件下航空燃料的导热系数,基于恒热流密度条件下,常物性不可压缩流体在圆管层流充分发展时的努塞尔数为常数原理,搭建了导热系数测量装置.通过牛顿冷却定律测量管内流体充分发展时的换热系数,可以在线测量流体的导热系数.经不确定度分析得到实验条件下最大相对不确定度为5.76％.使用乙苯和正十烷验对实验装置进行了标...     

汽液共存相的粘度及导热系数间的关系

粘度和导热系数是石油、化工等工业过程设计中必需的两种主要传递性质，对它们的实验测定和理论预测或关联研究一直受到人们的广泛关注．对传递性质的研究有以下特点：在理论上，对气体，尤其是稀薄气体有较成功的动力学理论，但对稠密流体，尤其是液体，尚无严格的理论方法，实用中多为经验或半经验的模型；在实验测定方面，对液体的测定相对容易，已积累了大量数据，尤其是液体的粘度和导热系数．另外，在一些工业生产过程中，往往处理呈平衡（饱和）的汽、液两相。质，需要知道各种操作条件下两相工质的传递性质，因此，研究汽（气）、液…     

天然气水合物的导热系数

分析介绍了关于水合物导热系数类玻璃体变化规律的三种模型及其相关测试手段、样品制备方法和测试结果。针对物性和测试手段的特点，笔者指出在制备测试样品的时候就要注意其生成品质。最后对比了国外相关实验结果和本实验室对制冷剂水合物的测量结果。     

第5届全国大学生化学实验邀请赛(试卷C2)实验C2 电动势法测定化学反应的热力学函数

一、基本原理1化学电池电动势和温度系数的测定本实验采用补偿法(也称对消法)测量电池的平衡电动势,在待测电池上并联一个反向的外加电势,调节回路使得通过待测电池的电流趋近于零,测量待测电池的电动势。改变实验温度,测量不同温度下电池的电动势,求出电池电动势与温度的关系,     

真空熔融气相色谱法测定固体中痕量氩气的研究

建立了用气相色谱法测定固体内部痕量惰性气体的新方法.有效地解决了处于低真空状态待测气样的给样问题,优化了样品气体的纯化条件.用多种基准物质绘制了不同柱长的校正曲线,证明了新方法的可靠性.     

超临界氮气对聚苯乙烯微观形态的影响——喷泉效应与层状结构的形成

当流体的温度和压力处于它的临界温度和临界压力以上时,称该流体处于超临界状态,为超临界流体.超临界流体表现出许多不同于一般气体和液体的特性,如溶质在超临界流体中的溶解度可较同温常压下溶质在同种气体中的溶解度大很多,超临界流体密度与液体的密度相近,其粘度却比液体小近百倍,导热系数比常压气体大得多等.由于超临界流体具有这些不同寻常的特性,因而以超临界萃取为代表的超临界流体已有广泛的工业应用.近年来超临界流体在聚合物加工中的应用逐渐受到重视,如超临界分级、造粒、气体辅助注塑成型、发泡成型等[1～3].     

多壁碳纳米管对聚甲醛性能的影响

将多壁碳纳米管(MWCNTs)和聚甲醛(POM)在转矩流变仪中熔融混合得到POM/MWCNT复合材料.研究了复合材料的形态,导热性能,导电性能,流变性能和结晶性能.结果表明,MWCNTs在没有经过处理的情况下能够均匀地分散在POM基体中;当向POM中添加1.0 wt%含量MWCNTs时,复合材料的导热系数上升到0.5289 W/(K m),比纯POM的导热系数0.198 W/(K m)提高1.5倍,通过有效介质方法(EMA)验证了体系导热系数提高幅度不大的原因是MWCNTs与POM之间形成了很高的界面热阻;当MWCNTs的含量为1.0 wt%时,体系产生了导电逾渗效应,逾渗值在0.5 wt%~1.0 wt%之间;MWCNTs对POM有显著的成核作用,当向POM中添加0.5 wt%含量的MWCNTs时,POM的结晶温度提高6℃左右,但当MWCNTs的添加量进一步增加时,结晶温度几乎不再变化,成核效果呈现"饱和"状态.另外,材料的复数黏度,储能模量和损耗模量随MWCNTs含量的增加而增加.     

卡尔曼滤波滴定分析法研究(Ⅰ)——热力学平衡滴定模型及其应用

卡尔曼滤波(简称KF)为一种最佳滤波方法,是化学计量学分辨和校正的有效工具。滴定时,考察滴定过程中滴定体积与量测信号的变化,可建立相应的状态与量测方程,用KF递推算法估计状态并确定终点。本文拟分析热力学平衡滴定模型并考察某些参数的影响。     

多孔甲烷水合物样品导热系数的测定和模拟

天然气水合物是由水分子和气体分子在一定温压条件下形成的一种类冰状笼形化合物．天然气水合物主要存在于海底和大陆的永久冻土区和青藏高原等多年冻土区,是一种潜在的替代能源．在考虑对天然气水合物资源进行开采和考察地球温压变化对含水合物层的影响时,有必要掌握水合物的热物性和含水合物层的有效导热系数,但目前报道的水合物导热系数数据不一、差异很大．水合物是一种非化学计量的化合物,因此很难获得一个不含自由气、自由水的零孔隙率完美样品．利用多孔介质的理论模型对多孔水合物的导热系数进行预测是获得水合物本征导热系数的有效途径之一．我们在一个自行设计的实验台上使用HotDisk系统独特的单面测试技术,并利用瞬态平面热源法测定了含甲烷气的多孔甲烷水合物的有效导热系数,获得该样品的导热系数和温度以及所加压力的关系．为了研究含甲烷气的多孔甲烷水合物的有效导热系数与孔隙率的关系,我们利用自相似的Sierpinski地毯分形模型,先假设多孔介质体系由多孔介质和流体两部分组成,而多孔介质颗粒则由随机分布不相接触的颗粒和带有接触热阻的自相似分布颗粒组成,再通过一维热流假设和采用等价电阻网络（即通过电一热阻模拟分析得到系统的热导率）分别模拟了干砂（含空气）和多孔甲烷水合物样品（含自由甲烷气）导热系数与样品孔隙度的关系,推测了无孔隙水合物样品的导热系数．实验和模拟结果均显示样品的有效导热系数随着孔隙度的增大而降低,样品的有效导热系数在30％的孔隙度时降低了25％．通过分析实验结果和模拟结果发现,无孔隙甲烷水合物样品的导热系数约为0．7Wm^-1K^-1．     

蒙特卡洛法评定橡胶门尼黏度测量的不确定度

根据高聚物流变学原理,建立了门尼黏度测量模型,分析了模型中各个变量的概率分布,利用Mathcad软件进行了测量模型的门尼黏度模拟,给出了模拟最佳值、不确定度及其包含区间,实现了门尼黏度测量不确定度的蒙特卡洛法评定。与GUM法相比,蒙特卡洛法评定门尼黏度测量不确定度具有编程模式化,过程简单等优点,适合多变量测量模型的不确定度评价。     

Thermophysical Properties of High Temperature Reacting Mixtures of Carbon and Water in the Range 400–30,000?K and 0.1–10?atm. Part 2: Transport Coefficients

The present contribution is continuation of Part 1: Equilibrium composition and thermodynamic properties. This paper is devoted to the calculation of transport properties of mixtures of water and carbon at high temperature. The transport properties, including electron diffusion coefficient, viscosity, thermal conductivity, and electrical conductivity are obtained by using the Chapman?CEnskog method expanded to the third-order approximation (second-order for viscosity), taking only elastic processes into account. The calculations, which assume local thermodynamic equilibrium, are performed for atmospheric pressure plasmas in the temperature range from 400 to 30,000?K for pressures of 0. 10, 1.0, 3.0, 5.0 and 10.0?atm. with the results obtained are compared to those of previously published studies, and the reasons for discrepancies are analyzed. The results provide reliable reference data for simulation of plasmas in mixtures of carbon and water.     

Thermal conductivity equations for pure fluids in a heuristic extended corresponding states framework: I. Modeling techniques

The application of the extended corresponding states modeling technique to thermodynamic and transport properties has demonstrated that different conformality behaviors are followed by a same group of fluids inside each of these two categories of properties. The traditional extended corresponding states technique for transport properties requires the conventional thermodynamic shape factors, derived from accurate equations of state for both the target and the reference fluid, and an additional shape factor, derived from transport property data of the target fluid, in order to fit the transport properties themselves.A new extended corresponding states model is here proposed for thermal conductivity; the technique uses two shape factors, one for each independent variable, which are generated just from the available thermal conductivity data in the range of interest. As a consequence there is no need to import shape factors from thermodynamics.The shape factors are obtained as continuous functions through a neural network, because of its flexibility and high capability to fit the data. The accuracy of thermal conductivity data representation on the basis of this model is better than that achieved through conventional approach by summation of dilute gas, excess and critical enhancement contributions.     

传递性质的自由体积模型对方阱流体的应用

对简单分子构成的稀薄气体的传递性质已有较严格的分子动力学理论，但对稠密流体，尤其是液体，严格的理论方法尚难以解决实际问题词．实用中仍以经验或半经验模型为主．半经验模型以Eyring的绝对反应速率理论[1，2]和自由体积理论[3-11]为典型代表．由于自由体积模型可以同时反映温度和压力的影响，其应用潜力更大，值得进一步研究．对理论模型的检验一般用实际物系的测定数据．这种检验虽然直接可靠，但往往受到实验条件的限制，例如高温高压；近年来迅速发展的计算机分子模拟为建立和验证理论模型提供了一个有效手段．由于计算机模拟数…     

Predicting transport properties without adjustable parameters: A test application of the Hulburt-Hirschfelder potential to argon

Accurate estimates of the transport properties of gaseous systems under conditions where experimental transport data are sparse of unavailable are important in a number of applications. The Hulburt-Hirschfelder (HH) potential for monatomic gas interactions, which is determined entirely by spectroscopic constants of diatomic molecules, provides a basis for calculating transport properties without adjustable parameters. In this paper we report test calculations of the viscosity, thermal conductivity and self-diffusion coefficients for argon. Comparison with the comprehensive correlation of thermophysical properties for argon by Kestin and co-workers shows very reasonable agreement for the transport properties at moderate and high temperatures. Deviations at lower temperatures may be attributed to inaccuracies in the long-range part of the HH potential, whereas the core and well of the potential appear to be adequately represented. These results strongly support the use of the HH potential for estimating the transport properties of monatomic gases at high t     

Prediction of the transport properties of a polyatomic gas

An ab initio molecular potential model is employed in this paper to show its excellent predictability for the transport properties of a polyatomic gas from molecular dynamics simulations. A quantum mechanical treatment of molecular vibrational energies is included in the Green and Kubo integral formulas for the calculation of the thermal conductivity by the Metropolis Monte Carlo method. Using CO₂ gas as an example, the fluid transport properties in the temperature range of 300–1000 K are calculated without using any experimental data. The accuracy of the calculated transport properties is significantly improved by the present model, especially for the thermal conductivity. The average deviations of the calculated results from the experimental data for self-diffusion coefficient, shear viscosity, thermal conductivity are, respectively, 2.32%, 0.71% and 2.30%.     

Transport properties of high temperature air components: A review

The methods for the calculation of the transport properties of high temperature gases are reviewed from the points of view of both kinetic theory and transport cross sections. Particular emphasis is given to the poor convergence of the Chapman-Enskog method for calculating the thermal conductivity of free electrons and of the possible sources of errors when applying well known simplified formulae for calculating the translational thermal conductivity of heavy components and the viscosity of partially ionized gases. The transport cross sections (collision integrals) of high temperature air components are then discussed by comparing old and new calculations particularly emphasizing atom-atom, atom-molecule and atom-ion interactions. Special consideration is dedicated to the knowledge of transport cross sections of electronically excited states. The role of inelastic processes in affecting the transport cross sections is also briefly discussed. Finally the possibility to extend the results to non equilibrium situations is analysed.     

Transport Coefficients of High Temperature SF6–He Mixtures Used in Switching Applications as an Alternative to Pure SF6

Sulfur hexafluoride (SF₆) gas has a quite high global warming potential and hence it is required that applying any substitute for SF₆ gas. Much interest in the use of a mixture of helium and SF₆ as arc quenching medium were investigated indicating a high performance of arc interruption. The calculated values of transport coefficients of mixtures of SF₆–He mixtures, at high temperatures are presented in this paper: to the knowledge of the authors, related data have not been reported in the literature. The species composition and thermodynamic properties are determined by the method of Gibbs free energy minimization, using standard thermodynamic tables. The transport properties including electron diffusion coefficients, viscosity, thermal conductivity and electrical conductivity, are evaluated by using the Chapman–Enskog method expanded up to the third-order approximation (second-order for viscosity). Particular attention is paid to the collision integral database by the use of the most accurate and recent cross-sections or interaction potentials available in the literature. The calculations, which assume local thermodynamic equilibrium, are performed in the temperature range from 300 to 30,000 K for different pressures between 0.1 and 16 atm. An evaluation of the current interruption performance by adding He into SF₆ is discussed from a microscopic point of view. The properties with regard to SF₆–He mixtures calculated here are expected to be reliable because of the improved collision integrals employed.     

Ionic liquid-based stable nanofluids containing gold nanoparticles

A one-phase and/or two-phase method were used to prepare the stable ionic liquid-based nanofluids containing same volume fraction but different sizes or surface states of gold nanoparticles (Au NPs) and their thermal conductivities were investigated in more detail. Five significant experiment parameters, i.e. temperature, dispersion condition, particle size and surface state, and viscosity of base liquid, were evaluated to supply experimental explanations for heat transport mechanisms. The conspicuously temperature-dependent and greatly enhanced thermal conductivity under high temperatures verify that Brownian motion should be one key effect factor in the heat transport processes of ionic liquid-based gold nanofluids. While the positive influences of proper aggregation and the optimized particle size on their thermal conductivity enhancements under some specific conditions demonstrate that clustering may be another critical effect factor in heat transport processes. Moreover, the remarkable difference of the thermal conductivity enhancements of the nanofluids containing Au NPs with different surface states could be attributed to the surface state which has a strong correlation with not only Brownian motion but also clustering. Whilst the close relationship between their thermal conductivity enhancements and the viscosity of base liquid further indicate Brownian motion must occupy the leading position among various influencing factors. Finally, a promisingly synergistic effect of Brownian motion and clustering based on experimental clues and theoretical analyses was first proposed, justifying different mechanisms are sure related. The results may shed lights on comprehensive understanding of heat transport mechanisms in nanofluids.     

Thermodynamic Properties and Transport Coefficients of CO<Subscript>2</Subscript>–Cu Thermal Plasmas

This paper presents the calculated values of equilibrium compositions, thermodynamic properties and transport coefficients (viscosity, electrical conductivity and thermal conductivity) for CO₂–Cu thermal plasmas. With several copper mass proportions, the calculation is performed at temperatures 2000–30,000 K and various pressures 0.1–16 bar. Gibbs free energy minimization is used to determine species compositions and thermodynamic properties and the well-known Chapman–Enskog method is applied to calculating transport properties. Furthermore, great attention is paid to cope with the interactions between all the particles in the determination of collision integrals. The results are illustrated indicating the effect of the copper proportions and pressure on the fundamental properties of CO₂–Cu thermal plasmas. It can be found that a small quantity of copper (less than 10 %) can significantly modify the charged species densities and electrical conductivity especially at low temperature. While for other properties, the influences can be noticeable only when the copper proportion is above 10 %.