首页> 外文期刊>The Journal of Supercritical Fluids >Phase behaviour and mathematical modelling for the system annatto seed oil in compressed carbon dioxide plus ethanol as co-solvent
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Phase behaviour and mathematical modelling for the system annatto seed oil in compressed carbon dioxide plus ethanol as co-solvent

机译:压缩二氧化碳加上乙醇作为共溶剂的钙氮种子油的相行为和数学建模

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This work reports phase equilibrium experimental data (cloud points) for the system annatto seed oil in compressed carbon dioxide + ethanol as co-solvent. The oil was obtained by supercritical fluid extraction at 40 degrees C and 20 MPa using carbon dioxide as solvent. The synthetic static method was employed for the measurements, which were carried out in a temperature range from 25 to 60 degrees C and up to 19.32 MPa. The experiments were carried out using (CO2 + ethanol) overall mass fraction compositions ranging from 0.82 to 0.99. Experimental results were modelled using artificial neural network (ANN). Results indicate a complex phase behavior for all temperatures investigated with the occurrence of vapor-liquid, liquid-liquid and vapor-liquid-liquid transitions. ANN modelling was an efficient alternative for the thermodynamic models to accurately analysis of the phase equilibrium at high pressure.
机译:本文报道了红木籽油在压缩二氧化碳+乙醇共溶剂中的相平衡实验数据(浊点)。油是在40摄氏度和20兆帕的条件下,以二氧化碳为溶剂,通过超临界流体萃取获得的。采用合成静态法进行测量,测量温度范围为25至60摄氏度,最高可达19.32兆帕。实验采用(CO2+乙醇)总质量分数为0.82至0.99的成分进行。实验结果采用人工神经网络(ANN)建模。结果表明,随着汽-液、液-液和汽-液-液转变的发生,所研究的所有温度都存在复杂的相行为。人工神经网络建模是热力学模型准确分析高压下相平衡的有效替代方法。

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