Viscosity Prediction of Compounds Derived from Castor Oil: Parameter Optimization

被引：0
|
作者：
Lopez-Arenas, Teresa [1 ]
Aca-Aca, Gloria [2 ]
Sanchez-Daza, Oscar [2 ]
Sales-Cruz, Mauricio [1 ]
机构：
[1] Univ Autonoma Metropolitana Cuajimalapa, Dept Proc & Tecnol, Artificios 40, Mexico City 01120, DF, Mexico
[2] Univ Autonoma Puebla, Fac Ingn Quim, Puebla 72570, Mexico
来源：
21ST EUROPEAN SYMPOSIUM ON COMPUTER AIDED PROCESS ENGINEERING | 2011年 / 29卷
关键词：
viscosity; group contribution; fatty compounds; parameter optimization; VEGETABLE-OILS;
D O I：
暂无
中图分类号：
TP39 [计算机的应用];
学科分类号：
081203 ; 0835 ;
摘要：
The objective of this work is the viscosity prediction of the main fatty compounds derived from castor oil (i.e. fatty acids, triacylglycerols and methyl esters) extending a predictive method based on group contribution that was previously reported. The missing values of viscosity parameters for the hydroxyl functional group are evaluated through optimization using available experimental data for castor oil and its biodiesel. The optimization problem is proposed for three different functional groups and is solved using Successive Quadratic Programming method. Best viscosity values for castor oil and its biodiesel are obtained with parameter estimation for the group CH-OH.
引用
收藏
页码：1431 / 1435
页数：5
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