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Construction of Joule Thomson inversion curves for mixtures using equation of state

机译:使用状态方程的混合混合物构建joule Thomson反演曲线

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The Joule-Thomson effect is at the heart of Joule-Thomson cryocoolers and gas liquefaction cycles. The effective harnessing of this phenomenon necessitates the knowledge of Joule-Thomson coefficient and the inversion curve. When the working fluid is a mixture, (in mix refrigerant Joule-Thomson cryocooler, MRJT) the phase diagrams, equations of state and inversion curves of multi-component systems become important. The lowest temperature attainable by such a cryocooler depends on the inversion characteristics of the mixture used. In this work the construction of differential Joule-Thomson inversion curves of mixtures using Redlich-Kwong, Soave-Redlich-Kwong and Peng-Robinson equations of state is investigated assuming single phase. It is demonstrated that inversion curves constructed for pure fluids can be improved by choosing an appropriate value of acentric factor. Inversion curves are used to predict maximum inversion temperatures of multicomponent systems. An application where this information is critical is a two-stage J-T cryocooler using a mixture as the working fluid, especially for the second stage. The pre-cooling temperature that the first stage is required to generate depends on the maximum inversion temperature of the second stage working fluid.
机译:焦耳 - 汤姆森效应是焦耳 - 汤姆森冷冻机和气体液化循环的核心。这种现象的有效束缚需要joule-thomson系数和反演曲线的知识。当工作流体是混合物时,(在混合制冷剂joule-thomson droomoCooler,mrjt)的相图,多分量系统的状态和反演曲线的方程变得重要。通过这种低温冷却器可获得的最低温度取决于所用混合物的反转特性。在这项工作中,假设单相,研究了使用Redlich-Kwong,Soave-ydlich-kwong和彭罗宾逊方程的混合物的差分Joule-Thomson反演曲线的构建。据证明,通过选择碱基因子的适当值,可以改善为纯流体构成的反演曲线。反演曲线用于预测多组分系统的最大反转温度。该信息至关重要的应用是使用混合物作为工作流体的两级J-T冷冻机,特别是对于第二阶段。第一阶段需要产生的预冷却温度取决于第二级工作流体的最大反转温度。

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