有机物混合液导热系数的估算

通过对液体导热系数与密度关系的分析研究,提出了估算有机物混合液导热系数的计算模型;利用该模型计算了55个体系377个数据点的二元有机物混合液导热系数,计算值与实验值的总平均相对偏差为1.48%,计算值与实验数据吻合很好,计算准确性优于文献方法;本文方法简单方便,只需要混合液各组分的导热系数数据,就可以直接预测各种温度和组成的有机物混合液的导热系数。     

液体有机物导热系数的估算

在计算液体导热系数的Weber方程和Sato关系式的基础上,根据对有机物液体导热系数影响因素的分析研究,提出了估算有机物导热系数的计算模型;利用该模型计算了22个体系74个数据点的有机物液体的导热系数,计算值与实验值的总平均相对偏差3.18%,计算准确性优于文献方法;计算结果表明,利用被估算物质的摩尔质量、临界温度、正...     

有机物水溶液导热系数的关联

根据对有机物水溶液导热系数影响因素的分析,在Horvath液体导热系数关系式的基础上,导出了估算有机物水溶液导热系数的计算模型;利用该模型计算了14个体系中447个数据点的不同温度和组成的二元水溶液导热系数;结果表明,计算值与实验数据吻合很好,其与实验值的总平均相对偏差为1.03％,计算准确性优于文献方法。本文计算方法简单方便,只需知道水溶液各组分的临界温度、临界体积和导热系数数据,就可以直接预测各种温度和组成的有机物水溶液混合物的导热系数。     

预测聚合物基复合材料导热系数方法综述

由聚合物与高导热填料共混制得的导热聚合物基复合材料,被应用于防腐和节能要求较高的换热场合,符合换热设备新材料的要求;而聚合物基复合材料的等效导热系数预测比较复杂。总结了预测聚合物基复合材料等效导热系数的多种方法,包括最小热阻力法、热阻网络法、傅里叶定律法、均匀化方法和逾渗理论方法,归纳了这些模型和方法的特点,对应用这些模型和方法提出了建议。     

计算有机二元混合液导热系数的一种方法

本文在Wohl型方程之上，结合Chapman导热理论和Eyring的反应速率理论，导出了一个二元液体混合物导热系数关联式，该关联式对于非理想程度中等、特别是接近理想的二元体系精度较高，计算了14种二元混合液体导热系数，与文献值相比最大误差为3．2%。     

有机物液体和含水混合液密度的关联与预测

根据有机物液体和含水混合液实验数据及其特性,考虑了组分的临界参数和溶液中氢键的影响,导出了二元和多元液体有机物水溶液密度的关联式;利用本文关联式计算了8个二元水溶液体系504个数据点的密度,总平均相对误差为0.536%;计算了5个三元水溶液体系194个数据点的密度,总平均相对误差为0.422%.密度模型检验结果表明,本文关联式的计算准确性优于campbell等人的关联式.本模型只需要混合液组分纯物质的临界参数和密度等可由手册查出的物性数据,即可预测二元和多元水溶液的密度.     

液体纯物质导热系数的预测

在估算导热系数的Weber方程和Sato—Riedel法的基础上,根据对液体导热系数影响因素的分析,提出了估算液体导热系数的计算模型。利用该模型计算了34种液体物质（包括27种有机物和7种无机物）100个数据点的导热系数,计算值与试验值的总平均相对偏差为3．00％,计算准确性优于文献方法,方法简单方便,利用被估算液体物质的摩尔质量、临界温度临界压缩因子和正常沸点温度数据,就可以直接预测这些液体在不同温度下的导热系数。     

加压下液体物质导热系数的计算

根据液体物质的导热系数与其对比温度和对比压力的关系的文献数据,导出了估算加压下液体有机物导热系数的计算模型;利用该模型计算了9种液体物系223个数据点的导热系数数据,计算值与实验值的总平均相对误差为3.349%,计算值与实验数据吻合很好,计算准确性优于文献方法;本文方法简单方便,只需要物质的临界温度、临界压力和低压下物...     

加压下液体物质导热系数的关联和预测

在采用查表法估算加压下液体导热系数的Missenard法的基础上,利用液体物质导热系数的文献数据,导出了估算加压下液体导热系数的计算模型.利用该模型计算了加压下18种液体物质313个数据点的导热系数数据,计算值与实验值的总平均相对偏差为3.08％,计算值与实验数据吻合很好,计算准确性优于文献方法;文中方法简单方便,只需...     

Prediction of the thermal conductivity of liquids and liquid mixtures including crude oil fractions

A new method based on the Effective Carbon Number is presented for the prediction of the thermal conductivity of liquids and liquid mixtures. The Effective Carbon Number for each substance of interest can be calculated from its thermal conductivity at a reduced temperature of 0.6. The thermal conductivities of isoalkanes, cycloalkanes, aro-matics, alkanes, carboxylic acids, ketones, esters and aldehydes over a range of temperatures were predicted using this method and the results were compared with experimental values. The thermal conductivities of defined mixtures were also predicted using a quadratic mixing rule for the Effective Carbon Number. Lastly, the thermal conductivities of undefined mixtures such as crude oil fractions were calculated by treating each fraction as a single pseudocompo-nent. In all cases studied, calculated results compared favorably with experimental values.     

A new method for predicting thermal conductivity of pure organic liquids and their mixtures

A new method based on Enskog's hard sphere theory for dense fluids and the principle of corresponding states is presented for predicting thermal conductivity of pure organic liquids and their mixtures. The thermal conductivities of alkanes, isoalkanes, aromatics, aldehydes, esters and ketones were calculated using this method which requires only critical properties and normal boiling point as input data. The predictions were compared with experimental data and other prediction methods over a wide range of temperatures (0.3 < T_r < 0.8) and highly satisfactory results were obtained. The method was also extended to mixtures employing simple mixing rules for calculating mixture properties.     

Predicting thermal conductivity of binary liquid mixtures on basis of coordination number

By applying a model of a randomly mixed packing of spheres of two sizes to binary liquid mixtures, the thermal conductivity of the mixture is related to the physical properties of each component through the number of contact points. Further, two parameters are introduced to account for the effect of the hydrogen bond and are correlated with the Lennard-Jones (6-12) parameters σ and ?, or the boiling temperature. In comparing the calculated values with the experimental data for 13 aqueous liquids and 21 non-aqueous liquid systems, the present equation turns out to be more accurate than previous ones.     

纳米流体有效热导率预测

纳米流体热导率实验表明了纳米流体具有不同于常规流体的导热特性。从颗粒小尺寸效应、布朗运动引起的微对流、固液吸附微界面和颗粒聚集结构上分析了纳米流体导热机理,并推导了适合纳米流体的热导率预测公式。与实验结果对比分析,该预测公式与实测值较为接近,对预测纳米流体的热导率有一定的参考价值。     

Development of a general model for determination of thermal conductivity of liquid chemical compounds at atmospheric pressure

In this communication, a general model for representation/presentation of the liquid thermal conductivity of chemical compounds (mostly organic) at 1 atm pressure for temperatures below normal boiling point and at saturation pressure for temperatures above the normal boiling point is developed using the Gene Expression Programming algorithm. Approximately 19,000 liquid thermal conductivity data at different temperatures related to 1636 chemical compounds collected from the DIPPR 801 database are used to obtain the model as well as to assess its predictive capability. The parameters of the model comprise temperature, acentric factor, critical pressure, normal boiling temperature, and molecular weight. Nearly 80% of the data set (15,221 data) is randomly assigned to develop the model equation, 10% of the data set (1902 data) is used to validate the model, and the remaining data (1902 data) were implemented to evaluate its predictive power. The average absolute relative deviation of the model results from the DIPPR 801 data is less than 9%. In terms of simplicity and wide range of applicability, this empirical model shows acceptable accuracy. © 2012 American Institute of Chemical Engineers AIChE J, 59: 1702–1708, 2013     

Relation between thermal conductivity and network formation with polymerizable liquid crystals

The molecules with the mono‐ and bi‐function at the sides in the acrylic PLC mixtures were aligned by the rubbing method. The alignment was immobilized by the photo polymerization to result the homogeneous acrylic films, which have good alignment with the higher order parameters. The thermal conductivity along the molecular long axis direction showed the larger magnitude of 0.62 W/m · K, which is independent on ratio of the main chain and the side chain fractions. © 2006 Wiley Periodicals, Inc. J Appl Polym Sci 103: 3169–3174, 2007     

Enhanced thermal conductivity of semi‐aliphatic liquid crystalline polybenzoxazoles using magnetic orientation

Polybenzoxazole (PBO) model compounds consisting of benzoxazole mesogenic units linked with long alkyl chains via ether or ester groups were prepared from flexible dicarboxylic acids with two kinds of bis(o‐aminophenol)s, i.e. 4,4′‐diamino‐3,3′‐dihydroxybiphenyl (p‐HAB) and 3,3′‐diamino‐4,4′‐dihydroxybiphenyl (m‐HAB). The results revealed that the use of p‐HAB completely erased the thermotropic liquid crystallinity and that the m‐HAB‐based ether‐linked model compound was much more advantageous for the formation of a stable liquid crystal phase than the corresponding ester‐linked one. However, the relevant high‐molecular‐weight PBOs showed quite opposite results. Only the m‐HAB‐based ester‐linked C₁₀ PBO system showed a liquid crystal‐like texture among various semi‐aliphatic PBO systems examined. A very high thermal conductivity of 1.79 W m^?1 K^?1 along the thickness direction for the m‐HAB‐based ester‐linked C₁₀ PBO film was achieved by heat treatment in the liquid crystalline state under a strong magnetic field of 10 T. Copyright © 2011 Society of Chemical Industry     

液相链烷烃热导率与其结构定量关系

应用密度泛函理论(DFT),在B3LYP/6-31+G(d)水平上对含有5～24个碳原子的部分液相链烷烃进行结构优化和量化计算其分子中各个原子间空间拓扑距离,并构建拓扑距离矩阵。结合分子中各原子的支化度,应用原子的平衡电负性对分子图进行着色,得到新型结构拓扑指数PX_m(m=1,2,3)。采用多元线性回归技术建立液相链烷烃热导率λ与PX_m(m=1,2,3)的定量关系拓扑模型,并用该模型对热导率λ进行预测与估算,结果表明实验值与预测值、估算值均很吻合。同时,采用留一法（leave-one-out）和外检验方法测试模型的内部稳定性和外部预测能力。与文献结果比较,本文所用参数少,计算简便,为液相链烷烃导热的研究提供了一种新方法。     

离子液体改性石墨烯的制备及其对ABS复合材料导热性能的影响

合成了一种氨基功能化离子液体[HAIM]BF4,并将其应用于石墨烯的改性。通过绿色直接的球磨法,将G粉与1-己基-3-氨乙基咪唑四氟硼酸离子液体[HAIM]BF4相结合,制备出离子液体功能改性石墨烯（G@ILs）。所得G@ILs使用熔融共混法加入丙烯腈-丁二烯-苯乙烯共聚物（ABS）中,制备G@ILs/ABS复合材料。使用X射线衍射分析（XRD）,X射线光电子能谱（XPS）,扫描电子显微镜（SEM）,透射电子显微镜（TEM）和拉曼测试等多种手段对G@ILs的结构和性质进行分析。结果表明,[HAIM]BF4通过阳离子-π相互作用对石墨烯进行了有效修饰,保持了石墨烯的结构完整性。由于G@ILs的独特性能,G@ILs/ABS复合材料在机械性能方面表现出相当大的改善。加入1 wt.%G@ILs的G@ILs/ABS复合材料的拉伸强度和弯曲模量为42.4 MPa和2145.1 MPa,比ABS提高了8.36%和12.76%。此外,在加入1 wt.%G@ILs的G@ILs/ABS复合材料的导热系数为0.249 W·m-1·k-1,比纯ABS提高了21.5%。