Zhiyu Yan, Yiran Wang, Xiangyang Liu* and Maogang He,
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引用次数: 0
Abstract
The mixtures of ionic liquid/refrigerant are a promising working pair in absorption refrigeration, their viscosity, which is crucial for process design, changes significantly with composition and operating conditions, making existing models inadequate. This study presents an extended application of entropy scaling theory coupled with the soft-SAFT equation of state for viscosity estimation in pure imidazolium-based ionic liquids (ILs) and their mixtures with refrigerants. The methodology was validated through a comprehensive analysis of 4,265 experimental viscosity data points for pure ILs over a wide range of temperatures and pressures, achieving an average absolute relative deviation (AARD) of 5.76% between calculated and experimental values. When the model was extended to IL/refrigerant mixtures, a modified Grunberg–Nissan mass mixing rule was employed, resulting in an AARD of 12.84% across 248 experimental data points.
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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