Interaction parameters for multi-component aromatic extraction with sulfolane

被引:20
作者
Ahmad, SA [1 ]
Tanwar, RS [1 ]
Gupta, RK [1 ]
Khanna, A [1 ]
机构
[1] Indian Inst Technol, Dept Chem Engn, Kanpur 208016, Uttar Pradesh, India
关键词
multi-component; maximum likelihood; liquid-liquid equilibria; binary interaction parameters; IVEM;
D O I
10.1016/j.fluid.2004.02.008
中图分类号
O414.1 [热力学];
学科分类号
摘要
Aromatic extraction is an important operation in petrochemical processing. Design of an aromatic extractor requires the knowledge of multi-component liquid-liquid equilibrium (LLE) data. Such experimental LLE data are usually not available and therefore can be predicted using various activity coefficient models. These models require proper binary interaction parameters, which are not yet available for all aromatic extraction systems. Furthermore, the parameters available for most of the ternary systems are specific to that system only and cannot be used for other ternary or multi-component systems. An attempt has been made to obtain these parameters that are globally applicable. For this purpose, the parameter estimation procedure has been modified to estimate the parameters simultaneously for different systems involving common pairs. UINQUAC and UNIFAC models have been used for parameter estimation. The regressed parameters are shown to be applicable for the ternary as well as for the multi-component systems. It is observed that UNIQUAC parameters provide a better fit for ternary LLE data, whereas, as one moves towards the higher component systems (quaternary and quinary) the UNIFAC parameters, which are a measure of the group contributions, predict the LLE better. Effect of temperature on UNIQUAC binary interaction parameters has been studied and a linear dependence has been observed. (C) 2003 Published by Elsevier B.V.
引用
收藏
页码:189 / 198
页数:10
相关论文
共 50 条
[31]   Solution algorithms for a nonhomogeneous multi-component inspection model [J].
Wang, W ;
Christer, AH .
COMPUTERS & OPERATIONS RESEARCH, 2003, 30 (01) :19-34
[32]   Multi-component Gaussian beam prestack depth migration [J].
Han, Jianguang ;
Wang, Yun ;
Lu, Jun .
JOURNAL OF GEOPHYSICS AND ENGINEERING, 2013, 10 (05)
[33]   Hypernetted Chain Calculations for Multi-Component and NonEquilibrium Plasmas [J].
Bredow, R. ;
Bornath, Th ;
Kraeft, W. -D. ;
Redmer, R. .
CONTRIBUTIONS TO PLASMA PHYSICS, 2013, 53 (4-5) :276-284
[34]   Metastable phase formation in multi-component aluminium alloys [J].
Miodownik, A. P. ;
Saunders, N. ;
Schille, J. P. ;
Guo, Z. .
DIFFUSION AND THERMODYNAMICS OF MATERIALS, 2007, 263 :31-+
[35]   Additive Manufacturing of Transparent Multi-Component Nanoporous Glasses [J].
Li, Beining ;
Li, Zhenjiang ;
Cooperstein, Ido ;
Shan, Wenze ;
Wang, Shuaipeng ;
Jiang, Benxue ;
Zhang, Long ;
Magdassi, Shlomo ;
He, Jin .
ADVANCED SCIENCE, 2023, 10 (35)
[36]   Modeling rapid solidification of multi-component concentrated alloys [J].
Wang, Kang ;
Wang, Haifeng ;
Liu, Feng ;
Zhai, Haimin .
ACTA MATERIALIA, 2013, 61 (04) :1359-1372
[37]   A realist evaluation of a multi-component program with disengaged students [J].
Owen, Emily C. ;
Knight, Camilla J. ;
Hill, Denise M. .
EVALUATION AND PROGRAM PLANNING, 2024, 103
[38]   A micropolar mixture theory of multi-component porous media [J].
Lu Huang ;
Cheng-gang Zhao .
Applied Mathematics and Mechanics, 2009, 30 :617-630
[39]   Quantitative experimental study on detonation instability of multi-component [J].
Zhao, Huanjuan ;
Bao, Yingxin ;
Yu, Kang ;
Liu, Jing ;
Qian, Xinming .
Huagong Xuebao/CIESC Journal, 2024, 75 :339-348
[40]   A micropolar mixture theory of multi-component porous media [J].
黄璐 ;
赵成刚 .
Applied Mathematics and Mechanics(English Edition), 2009, 30 (05) :617-630