화학공학소재연구정보센터
홈 로그인 로그아웃 연락처 사이트맵
Korean Journal of Chemical Engineering, Vol.27, No.1, 289-298, January, 2010
DOI10.1007/s11814-009-0350-0  Export Citation
An empirical near-critical correction for a quasi-chemical nonrandom lattice fluid
Ju Ho Lee, Gap Su Han, Alexander Breitholz, Ki-Pung Yoo, Moon Sam Shin1, and Hwayong Kim2, †
  • Department of Chemical and Biomolecular Engineering, Sogang University, Sinsu-dong, Mapo-gu, Seoul 121-742, Korea
  • 1Department of Cosmetic Science, Chungwoon University, San 29, Namjang-ri, Hongseong-eup, Hongseong-gun, Chungnam 350-701, Korea
  • 2School of Chemical & Biological Engineering, Seoul National University, San 56-1, Shilim-dong, Gwanak-gu, Seoul 151-744, Korea
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This paper proposes a simple empirical correction to improve the near-critical volumetric behavior of a classical equation of state (EOS) which overpredicts the critical point. The focus is on the alternative representation of long-range density fluctuation, an effect neglected in classical EOS, in terms of molecular clustering. To formulate the molecular clustering of interest, the Veytsman statistics is extended and fluctuation parameter is explicitly obtained as a solution to the quadratic equation. The proposed contribution was combined with a quasi-chemical nonrandom lattice fluid (QLF), which overpredicts the critical point. The combined model was found to require three clustering parameters besides three classical parameters and tested against vapor-liquid equilibrium data consisting of 43 nonpolar and polar components. The calculation results showed that the combined model satisfactorily represents the flattened part of the critical isotherm curve for methane as well as the top of the coexistence curve for the tested components.
Keywords:Veytsman Statistics;Long-range Density Fluctuation;Molecular Clustering;Critical Region;Probability Function
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