Investigation on Solid–Liquid Equilibrium for Nitrogen + Argon and Nitrogen + Tetrafluoromethane Binary Systems

IF 2.1 3区 工程技术 Q3 CHEMISTRY, MULTIDISCIPLINARY
Yuqing Zhao, , , Xian Wang*, , , Wei Yin, , , Yanxing Zhao*, , and , Maoqiong Gong, 
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引用次数: 0

Abstract

The solid–liquid equilibrium (SLE) at cryogenic temperature is crucial foundational information in various fields, including mixed-refrigerant refrigeration technology, high-temperature superconductors, and aerospace propellants. In this study, SLE data for binary mixtures of nitrogen (N2) + argon (Ar) and nitrogen (N2) + tetrafluoromethane (CF4) were experimentally measured over the full composition range. The experimental measurements were conducted using a combined visual and thermal analysis method. The temperature range for the N2 + Ar system was from 62.75 to 76.78 K, while the N2 + CF4 system data were obtained in the temperature range from 61.78 to 86.76 K, showing eutectic behavior. Several thermodynamic models were applied to correlate the data, among which the NRTL model demonstrated the best correlation, with an average absolute relative deviation (AARDT) of 1.40%.

Abstract Image

氮+氩和氮+四氟甲烷二元体系固液平衡的研究
低温固液平衡(SLE)是混合制冷剂制冷技术、高温超导体、航天推进剂等诸多领域的重要基础信息。在本研究中,实验测量了氮(N2) +氩(Ar)和氮(N2) +四氟甲烷(CF4)二元混合物在整个组成范围内的SLE数据。实验测量采用目测和热分析相结合的方法进行。N2 + Ar体系的温度范围为62.75 ~ 76.78 K, N2 + CF4体系的温度范围为61.78 ~ 86.76 K,均表现出共晶行为。采用多种热力学模型对数据进行相关性分析,其中NRTL模型相关性最好,平均绝对相对偏差(AARDT)为1.40%。
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来源期刊
Journal of Chemical & Engineering Data
Journal of Chemical & Engineering Data 工程技术-工程:化工
CiteScore
5.20
自引率
19.20%
发文量
324
审稿时长
2.2 months
期刊介绍: The Journal of Chemical & Engineering Data is a monthly journal devoted to the publication of data obtained from both experiment and computation, which are viewed as complementary. It is the only American Chemical Society journal primarily concerned with articles containing data on the phase behavior and the physical, thermodynamic, and transport properties of well-defined materials, including complex mixtures of known compositions. While environmental and biological samples are of interest, their compositions must be known and reproducible. As a result, adsorption on natural product materials does not generally fit within the scope of Journal of Chemical & Engineering Data.
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