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%.

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。