CIESC Journal

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超临界CO2萃取丁香油的数值模拟

侯彩霞;李淑芬;关文强;刘斌;王金宇;阎瑞香   

  1. 天津大学化工学院,教育部绿色合成与转化重点实验室,天津 300072;国家农产品保鲜工程技术研究中心,天津市果蔬采后生理与贮藏保鲜重点实验室,天津 300384;天津商业大学工学院,天津 300134

  • 出版日期:2007-12-05 发布日期:2007-12-05

Simulation of supercritical CO2 extraction of clove oil

HOU Caixia;LI Shufen;GUAN Wenqiang;LIU Bin;WANG Jinyu;YAN Ruixiang

  

  • Online:2007-12-05 Published:2007-12-05

摘要:

为了预测超临界CO2萃取挥发油动态过程,根据挥发油在超临界CO2与物料之间的质量传递平衡,采用集总参数法建立超临界CO2萃取丁香油过程的数学模型。结合不同温度、压力、粒径和CO2流速条件下的实验结果,对方程进行了合理的简化,并利用实验数据拟合出模型中CO2密度、粒径和流速的系数。验证结果表明模型的计算值和实验值的平均相对误差在6. 88%~57. 78%之间,建立的数值模型能较好地描述实际的超临界CO2萃取丁香油行为。

Abstract:

In order to predict and simulate the course of the supercritical carbon dioxide extraction process, a mathematical model was developed by using the lumped parameter method to describe supercritical carbon dioxide(SC-CO2) extraction of clove oil based on the mass balances of essential oil in particle and SC-CO2. The model was simplified according to experimental results at various temperatures, pressures, particle sizes and CO2 flow rates. The coefficients of carbon dioxide density, particle size and CO2 flow rate in the model were calculated and tested experimentally. The simulated results showed that the model gave a good fit to the experimental data with average relative error of 6. 88%—57. 78%.