New corresponding states correlation for the temperature-dependent surface tension of refrigerant liquids

被引：0

作者：

Liu, Weihua ^{[1
]}

Tian, Jianxiang ^{[1
,2
]}

Yang, Shangguo ^{[1
]}

机构：

[1] Qufu Normal Univ, Dept Phys, Qufu 273165, Shandong, Peoples R China

[2] Dalian Univ Technol, Dept Phys, Dalian 116024, Peoples R China

来源：

MODERN PHYSICS LETTERS B | 2022年 / 36卷 / 03期

基金：

中国国家自然科学基金;

关键词：

Surface tension; temperature; correlation; refrigerants; ARTIFICIAL NEURAL-NETWORK; DENSITY-FUNCTIONAL THEORY; ADSORPTION; EQUATION; SILANES; FLUIDS; MODEL;

D O I：

10.1142/S0217984921505503

中图分类号：

O59 [应用物理学];

学科分类号：

摘要：

We collected data of the surface tension versus the temperature of 28 saturated refrigerant fluids available in the NIST database. These data are used to build a new corresponding state-based correlation. Compared with other previously proposed correlations, the current one has the advantages of both simplicity and accuracy. To check the ability of correlations, we compared the numerically calculated/predicted results with the data in the NIST database. It is found that the average absolute deviations are less than 10% for 26 refrigerants and less than 1% for 8 refrigerants.

引用

页数：12

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