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首页> 外文期刊>EPJ Web of Conferences >Re-evaluation of experimental data on the second virial coefficient for steam and development of its analytical representation as a function of the internal energy
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Re-evaluation of experimental data on the second virial coefficient for steam and development of its analytical representation as a function of the internal energy

机译:对蒸汽的第二维里系数的实验数据进行重新评估,并将其解析表示形式作为内部能量的函数进行开发

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A re-evaluation of the second virial coefficient of steam is presented in the paper. The work is a part of broader effort to develop a formulation of the properties of dry and metastable steam suitable for CFD computations. The re-evaluation follows up previous work by Harvey and Lemmon [1], however with a special care for the lower temperature region close to the triple point and including more experimental data. The second virial coefficient was evaluated from volumetric (pvT) data, calorimetric measurements for saturated vapor, steam expansion experiments (measurements of the Joule–Thomson coefficient and the isothermal throttling coefficient) and measurements of the speed of sound. To accurately evaluate the uncertainty of calorimetric measurements, the uncertainty of the temperature derivative of the saturation pressure was determined based on refitting of the IAPWS saturation pressure formula to the experimental data. In the second step, the evaluated data and their uncertainties were used to develop an analytical formula to compute the second virial coefficient as function of internal energy in a range corresponding to the ideal-gas temperatures from 273.16 K to 1073.15 K. The choice of internal energy and density as independent variables is required for the CFD computations to avoid time-consuming iterations.
机译:本文对蒸汽的第二维里系数进行了重新评估。这项工作是开发适用于CFD计算的干燥和亚稳态蒸汽特性公式的更广泛努力的一部分。重新评估是对Harvey和Lemmon [1]以前的工作的补充,但是要特别注意靠近三点的较低温度区域,并包括更多的实验数据。从体积(pvT)数据,饱和蒸汽的量热测量,蒸汽膨胀实验(焦耳-汤姆森系数和等温节流系数的测量)以及声速的测量中评估了第二维里系数。为了准确地评估量热测量的不确定性,基于将IAPWS饱和压力公式重新拟合到实验数据来确定饱和压力的温度导数的不确定性。在第二步中,使用评估的数据及其不确定性来建立一个解析公式,以计算第二维里系数作为内部能量的函数,该范围在与273.16 K至1073.15 K的理想气体温度相对应的范围内。 CFD计算需要能量和密度作为自变量,以避免耗时的迭代。

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