Assessment and development of the viscosity prediction capabilities of entropy scaling method coupled with a modified binary interaction parameter estimation model for refrigerant blends
Assessment and development of the viscosity prediction capabilities of entropy scaling method coupled with a modified binary interaction parameter estimation model for refrigerant blends
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DOI：
10.1016/j.molliq.2022.119184
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发表时间：
2022
期刊：
影响因子：
--
通讯作者：
王晓坡
中科院分区：
文献类型：
--
作者：
康凯;谷雅秀;王晓坡
Low global warming potential (GWP) refrigerant blends have been identified that may play a role according to the gradually reduction of the baseline amount of hydrofluorocarbons (HFCs) that can be replaced.on the future market. Entropy scaling theory is a potential way to describing viscosity behavior of refrigerant mixtures, which is crucial for designing and optimizing of refrigeration system. However, an important prerequisite to apply entropy scaling model to mixture is reliable binary interaction parameters (kij)..To promote intensive industrialization of entropy scaling theory and avoid expensive and timeconsuming experiments for kij regression simultaneously, a modified Quantitative Structure Property.Relationship (QSPR) theory is proposed in this work to provide reasonable estimated kij values with an.additional dispersion term. To evaluate the performance of the proposed theory systematically, five different estimation methods are considered when predicting phase behavior and viscosity. Such model.shows better performances: for the non-associating mixtures including HFCs, hydrofluoroolefins.(HFOs), R744 and hydrocarbons (HCS), vapor liquid equilibrium data are predicted with the deviation.of 1.47%, liquid mixture viscosities are exactly reproduced with an error of 3.49%. Besides that, the modified QSPR associated with the PC-SAFT equation of state (EoS) has superior performance of kij estimation.than the London’s dispersive theory and the original QSPR, especially in describing some highly nonideal.systems. As a supplement, the residual entropy scaling model for viscosity by Yang et al. and the commonly used extended corresponding states model are also applied to verify the modified method.
