Development of corresponding states model for estimation of the surface tension of chemical compounds

The gene expression programming (GEP) strategy is applied for presenting two corresponding states models to represent/predict the surface tension of about 1,700 compounds (mostly organic) from 75 chemical families at various temperatures collected from the DIPPR 801 database. The models parameters include critical temperature or temperature/critical volume/acentric factor/critical pressure/reduced temperature/reduced normal boiling point temperature/molecular weight of the compounds. Around 1,300 surface tension data of 118 random compounds are used for developing the first model (a four‐parameter model) and about 20,000 data related to around 1,600 compounds are applied for checking its prediction capability. For the second one (a five‐parameter model), about 10,000 random data are applied for its development, and 11,000 data are used for testing its prediction ability. The statistical parameters including average absolute relative deviations of the results form dataset values (25 and 18% for the first and second models, respectively) demonstrate the accuracy of the presented models. © 2012 American Institute of Chemical Engineers AIChE J, 59: 613–621, 2013     

A new fragment contribution‐corresponding states method for physicochemical properties prediction of ionic liquids

A new fragment contribution‐corresponding states (FC—CS) method based on the group contribution method and the corresponding states principle is developed to predict critical properties of ionic liquids (ILs). There are 46 fragments specially classified for ILs considering the ionic features of ILs, and the corresponding fragment increments are determined using the experimental density data. The accuracy of the developed method is verified indirectly via predicting density and surface tension of ILs. The results show that the FC—CS method is reasonable with an average absolute relative deviation less than 4%. With the calculated critical properties, corresponding states heat capacity (CSHC) and corresponding states thermal conductivity (CSTC) correlations are proposed to predict heat capacity and thermal conductivity of ILs, respectively. The predicted results agreed well with the experimental data. The proposed FC—CS method and the two corresponding states correlations are important for design, simulation, and analysis of new ionic liquid processes. © 2012 American Institute of Chemical Engineers AIChE J, 59: 1348–1359, 2013     

溴化锂及离子液体水溶液密度、黏度和表面张力测定与计算

常压条件下,实验测定了不同温度（283.15~343.15 K）下吸收制冷/热泵工质对——溴化锂（LiBr）、1-乙基-3-甲基咪唑醋酸盐（[EMIM][OAC]）和1-丁基-3-甲基咪唑硫氰酸盐（[BMIM][SCN]）水溶液的密度、黏度和表面张力,借助线性方程和Vogel-Tammann-Fulcher（VTF）模型,分别成功关联了密度和黏度实验值。研究结果表明：在相同条件下,溴化锂水溶液的密度大于离子液体水溶液的密度,而前者的黏度小于后者;对表面张力,随着溴化锂含量增加,其水溶液的表面张力值增加,而少量离子液体可使水的表面张力快速下降。根据实验黏度和表面张力分别获得了能量势垒和表面熵/焓,表明各水溶液中分子或离子迁移难易程度遵循[EMIM][OAC] > [BMIM][SCN] > LiBr,表面有序性遵循[BMIM][SCN] > [EMIM][OAC] > LiBr。研究结果可为吸收制冷/热泵工质对及低温余热回收系统的设计和计算提供可靠的数据支撑。     

咪唑盐离子液体的微波合成、表征及性质研究

通过微波辐射,在无溶剂的状态下以N-甲基咪唑为原料合成了4种氯化1-烷基-3-甲基咪唑盐([Bmim]Cl、[Omim]Cl、[C_12mim]Cl、[C_16mim]Cl)离子液体,并测定了离子液体的表面张力和吸水性能.