{"title":"Modeling Mixtures Containing Refrigerants: Updated Interaction Parameters","authors":"Ian H. Bell*, ","doi":"10.1021/acs.jced.4c0069910.1021/acs.jced.4c00699","DOIUrl":null,"url":null,"abstract":"<p >This work develops updated mixture models for the multifluid modeling paradigm based on experimental data taken from the literature for refrigerant-like components. When vapor–liquid equilibrium data were available, the parameter γ<sub><i>T</i></sub> was fit, and when density data were also available, all four interaction parameters were fit. In total this meant fitting of 313 binary mixtures, of which 23 were represented with a set of four binary parameters and the rest with just a single interaction parameter. Other types of experimental thermodynamic data (heat capacities especially) were compared against but not included in the model development. Additional high-accuracy data are required for the development of more accurate mixture models.</p>","PeriodicalId":42,"journal":{"name":"Journal of Chemical & Engineering Data","volume":"70 3","pages":"1173–1181 1173–1181"},"PeriodicalIF":2.0000,"publicationDate":"2025-03-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Journal of Chemical & Engineering Data","FirstCategoryId":"1","ListUrlMain":"https://pubs.acs.org/doi/10.1021/acs.jced.4c00699","RegionNum":3,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q3","JCRName":"CHEMISTRY, MULTIDISCIPLINARY","Score":null,"Total":0}
引用次数: 0
Abstract
This work develops updated mixture models for the multifluid modeling paradigm based on experimental data taken from the literature for refrigerant-like components. When vapor–liquid equilibrium data were available, the parameter γT was fit, and when density data were also available, all four interaction parameters were fit. In total this meant fitting of 313 binary mixtures, of which 23 were represented with a set of four binary parameters and the rest with just a single interaction parameter. Other types of experimental thermodynamic data (heat capacities especially) were compared against but not included in the model development. Additional high-accuracy data are required for the development of more accurate mixture models.
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.