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New models for predicting thermophysical properties of ionic liquid mixtures
Huang, Ying; Zhang, Xiangping; Zhao, Yongsheng; Zeng, Shaojuan; Dong, Haifeng; Zhang, Suojiang
2015
Source PublicationPHYSICAL CHEMISTRY CHEMICAL PHYSICS
ISSN1463-9076
Volume17Issue:40Pages:26918-26929
Abstract

Potential applications of ILs require the knowledge of the physicochemical properties of ionic liquid (IL) mixtures. In this work, a series of semi-empirical models were developed to predict the density, surface tension, heat capacity and thermal conductivity of IL mixtures. Each semi-empirical model only contains one new characteristic parameter, which can be determined using one experimental data point. In addition, as another effective tool, artificial neural network (ANN) models were also established. The two kinds of models were verified by a total of 2304 experimental data points for binary mixtures of ILs and molecular compounds. The overall average absolute deviations (AARDs) of both the semi-empirical and ANN models are less than 2%. Compared to previously reported models, these new semi-empirical models require fewer adjustable parameters and can be applied in a wider range of applications.

SubtypeArticle
WOS HeadingsScience & Technology ; Physical Sciences
DOI10.1039/c5cp03446a
Indexed BySCI
Language英语
WOS KeywordARTIFICIAL NEURAL-NETWORK ; APPARENT MOLAR VOLUME ; BINARY-MIXTURES ; SURFACE-TENSION ; THERMODYNAMIC PROPERTIES ; CORRESPONDING STATES ; REFRACTIVE-INDEX ; HEAT-CAPACITY ; 313.15 K ; 1-ETHYL-3-METHYLIMIDAZOLIUM ETHYLSULFATE
WOS Research AreaChemistry ; Physics
WOS SubjectChemistry, Physical ; Physics, Atomic, Molecular & Chemical
WOS IDWOS:000362679300047
Citation statistics
Document Type期刊论文
Identifierhttp://ir.ipe.ac.cn/handle/122111/19650
Collection多相复杂系统国家重点实验室
AffiliationChinese Acad Sci, Beijing Key Lab Ion Liquids Clean Proc, State Key Lab Multiphase Complex Syst, Key Lab Green Proc & Engn,Inst Proc Engn, Beijing 100190, Peoples R China
Recommended Citation
GB/T 7714
Huang, Ying,Zhang, Xiangping,Zhao, Yongsheng,et al. New models for predicting thermophysical properties of ionic liquid mixtures[J]. PHYSICAL CHEMISTRY CHEMICAL PHYSICS,2015,17(40):26918-26929.
APA Huang, Ying,Zhang, Xiangping,Zhao, Yongsheng,Zeng, Shaojuan,Dong, Haifeng,&Zhang, Suojiang.(2015).New models for predicting thermophysical properties of ionic liquid mixtures.PHYSICAL CHEMISTRY CHEMICAL PHYSICS,17(40),26918-26929.
MLA Huang, Ying,et al."New models for predicting thermophysical properties of ionic liquid mixtures".PHYSICAL CHEMISTRY CHEMICAL PHYSICS 17.40(2015):26918-26929.
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