Prediction of Liquid Molar Volume and Heat of Vaporization of Fatty Acids Using an Equation of State

IF 0.9 4区 数学 Q3 COMPUTER SCIENCE, THEORY & METHODS Combinatorics, Probability & Computing Pub Date : 2020-11-04 DOI:10.2174/1877946809666191129110018
M. G. Gomes, N. Rocha, A. A. Moura, Nadine P. Merlo, Moilton R. Franco Júnior, P. O. Rodrigues
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Abstract

The liquid molar volume (V) and the heat of vaporization (ΔHVAP) of four fatty acids (n-Heptanoic acid, Hexadecanoic acid, n-Hexanoic acid and n- Dodecanoic acid) have been estimated. This paper aims to calculate the liquid molar volume and the heat of vaporization of four fatty acids under the critical point using two traditional equations of state: Peng-Robinson (PR) [21] and Soave-Redlich-Kwong. The area rules method applicable to obtaining the saturation pressure of the compounds has been used. The properties of the acids investigated in this work have been compared with those provided by literature. For molar volumes, the equations of state have given improved predictions when compared to traditional equations such as Rackett equation and so on. According to the vapor enthalpy calculations, no reference value was required. In general, the Clausius-Clapeyron equation provides a better estimation of the vaporization enthalpy of fatty acids when Soave-Redlich-Kwong (SRK) equation was used. The heat of vaporization for fatty acids can be calculated with good reliability in comparison with the Watson equation if suitable equation of state is used. Accurate results for heat of vaporization can be reached in comparison with the Watson equation if the reliable equation of state is used.
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用状态方程预测脂肪酸的液体摩尔体积和汽化热
计算了四种脂肪酸(正己酸、正己酸、正己酸和正十二酸)的液体摩尔体积(V)和汽化热(ΔHVAP)。本文利用传统的两种状态方程:Peng-Robinson (PR)[21]和sove - redlich - kwong,计算了四种脂肪酸在临界点下的液体摩尔体积和汽化热。采用了适用于化合物饱和压力计算的面积规则法。本文所研究的酸的性质与文献所提供的性质进行了比较。对于摩尔体积,状态方程给出了比传统方程(如Rackett方程等)更好的预测。根据蒸汽焓的计算,不需要参考值。一般来说,当使用Soave-Redlich-Kwong (SRK)方程时,Clausius-Clapeyron方程能更好地估计脂肪酸的蒸发焓。如果采用合适的状态方程,与沃森方程相比,脂肪酸的汽化热计算具有较好的可靠性。如果采用可靠的状态方程,可以得到与沃森方程比较准确的汽化热结果。
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来源期刊
Combinatorics, Probability & Computing
Combinatorics, Probability & Computing 数学-计算机:理论方法
CiteScore
2.40
自引率
11.10%
发文量
33
审稿时长
6-12 weeks
期刊介绍: Published bimonthly, Combinatorics, Probability & Computing is devoted to the three areas of combinatorics, probability theory and theoretical computer science. Topics covered include classical and algebraic graph theory, extremal set theory, matroid theory, probabilistic methods and random combinatorial structures; combinatorial probability and limit theorems for random combinatorial structures; the theory of algorithms (including complexity theory), randomised algorithms, probabilistic analysis of algorithms, computational learning theory and optimisation.
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