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Thermophysical properties of industrial fluids at high pressures from sound speed and density measurements

机译:通过声速和密度测量在高压下工业流体的热物理性质

摘要

The objective of this project was to provide reliable thermophysical property data, mainly density and sound speed, for industrial and academic use. This thesis investigates in detail the speed of sound and density of several industrial fluids at pressure up to 400 MPa and temperature from 248 K to 473 K. The experimental technique used was based on an ultrasonic cell implementing a double-path pulse-echo method with an ultrasound transducer placed between two unequally-spaced reflectors. The cell was calibrated in water at T = 298.15 K and p = 1 MPa against the speed of sound given by the 1995 equation-of-state formulation of the International Association for the Properties of Water and Steam (IAPWS-95) which, for that state point, has an uncertainty of ± 0.005 %. In this thesis, the ultrasonic cell was validated by water measurement over a wide range of temperature and pressure and was shown to have an uncertainty of ± 0.03 %. The uncertainty of the sound speed measurement for other fluids in general is less than 0.1 %. In addition, a densimeter was also used. The measured sound speed and density combined with the heat capacity can be used to develop advanced analytical equations of state and derive all of the thermodynamic properties for key mixtures by numerical-integration algorithms. All the thermophysical properties measured in this thesis were correlated into equations as a function of temperature and pressure. The correlated parameters were calculated by regression analysis in Microsoft Excel. The regression function is used to minimize the sum of squares of error of all the data which needs to be fitted into an equation. In our regression analysis from Excel, the objective was to fit the data to within the target uncertainty using the number of parameters required. Several working fluids were studied: pure water, hexafluoropropene (HFP), trifluoro-3-(trifluoromethyl)oxirane (common name hexafluoropropylene oxide, HFPO), carbon dioxide, and carbon dioxide + propane mixtures. The results extend our understanding of the thermophysical properties of these key industrial fluids and may lead to the development of improved thermodynamic models for application in air conditioning, refrigeration system and carbon capture and storage applications.
机译:该项目的目的是为工业和学术用途提供可靠的热物理性质数据,主要是密度和声速。本文详细研究了在压力高达400 MPa和温度从248 K到473 K时几种工业流体的声速和密度。所使用的实验技术是基于实现双通道脉冲回波方法的超声池超声换能器放置在两个不等距的反射器之间。相对于1995年国际水和蒸汽特性协会的状态方程公式(IAPWS-95)给出的声速,在T = 298.15 K和p = 1 MPa的水中对电池进行了校准。该状态点的不确定度为±0.005%。在本文中,通过在很宽的温度和压力范围内进行水测量来验证超声池的准确性,其不确定度为±0.03%。对于其他流体,声速测量的不确定度通常小于0.1%。另外,还使用了密度计。测得的声速和密度以及热容量可用于开发高级状态分析方程,并通过数值积分算法得出关键混合物的所有热力学性质。本文测量的所有热物理性质都与温度和压力的函数相关联成方程式。相关参数通过Microsoft Excel中的回归分析计算。回归函数用于最小化需要拟合为方程式的所有数据的误差平方和。在我们从Excel进行的回归分析中,目标是使用所需参数数量将数据拟合到目标不确定性范围内。研究了几种工作流体:纯水,六氟丙烯(HFP),三氟-3-(三氟甲基)环氧乙烷(俗称六氟环氧丙烷,HFPO),二氧化碳以及二氧化碳和丙烷的混合物。结果扩展了我们对这些关键工业流体的热物理性质的理解,并可能导致开发改进的热力学模型,用于空调,制冷系统以及碳捕集与封存应用。

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    Lin Chih-wei;

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  • 年度 2014
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