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UNIFAC模型预测含α-蒎烯体系的汽液平衡数据
引用本文:冯琦,孙丽霞,童张法. UNIFAC模型预测含α-蒎烯体系的汽液平衡数据[J]. 化工学报, 2014, 65(9): 3309-3316. DOI: 10.3969/j.issn.0438-1157.2014.09.001
作者姓名:冯琦  孙丽霞  童张法
作者单位:广西大学化学化工学院, 广西石化资源加工及过程强化技术重点实验室, 广西 南宁 530004
基金项目:广西石化资源加工及过程强化技术重点实验室主任基金资助项目(2012Z01);广西硕士研究生科研创新项目(YCSZ2012004)。
摘    要:α-蒎烯具有一个特殊的双环双键结构。为更准确地预测含α-蒎烯体系的汽液平衡数据,利用UNIFAC模型原理对α-蒎烯进行基团重新划分,可得到一个大基团双环[3.1.1]-2-庚烯基与3个CH3。通过对含α-蒎烯二元汽液平衡数据进行拟合,得到新基团双环[3.1.1]-2-庚烯基与CH3、C=C、ACH、ACCH3基团间的相互作用参数,扩大了UNIFAC模型的应用范围。与原始UNIFAC模型仅利用CH3、C=C、ACH、ACCH3基团预测出的含α-蒎烯三元体系汽液平衡数据进行比较,新基团模型预测的气相组成平均偏差以及温度平均偏差比原始基团模型的偏差要更小,说明新基团的划分更为合理。

关 键 词:汽液平衡  活度系数  模型  基团贡献法  预测  α-蒎烯  
收稿时间:2014-01-14
修稿时间:2014-03-05

Prediction of VLE data for system containing α-pinene by UNIFAC model
FENG Qi,SUN Lixia,TONG Zhangfa. Prediction of VLE data for system containing α-pinene by UNIFAC model[J]. Journal of Chemical Industry and Engineering(China), 2014, 65(9): 3309-3316. DOI: 10.3969/j.issn.0438-1157.2014.09.001
Authors:FENG Qi  SUN Lixia  TONG Zhangfa
Affiliation:Guangxi Key Laboratory of Petrochemical Resource Processing and Process Intensification Technology, School of Chemistry and Chemical Engineering, Guangxi University, Nanning 530004, Guangxi, China
Abstract:α-Pinene has a special bicyclo and C=C structure. In order to predict the vapor-liquid equilibrium (VLE) data for the system containing α-pinene more accurately, α-pinene was divided into one bicyclo[3.1.1]hept-2-ene and three CH3 according to the theory of UNIFAC model. With the correlation of VLE data for the binary system containing α-pinene, group interaction parameters for bicyclo[3.1.1]hept-2-ene with CH3, C=C, ACH and ACCH3 were obtained, which expands the application of the UNIFAC model. Comparing with the original UNIFAC model using only CH3, C=C, ACH and ACCH3 to predict VLE data of ternary system containing α-pinene, the average deviation of vapor composition and temperature from the prediction of VLE data by new group parameters are smaller than that by the original group parameters, indicating that the new group for α-pinene is more reasonable.
Keywords:vapor-liquid equilibrium  activity coefficient  model  group contribution method  prediction  α-pinene  
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