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The crystallization prediction of tripalmitin in triolein:an artificial neural network (ann) approach

机译:三油精中三棕榈精的结晶预测:一种人工神经网络方法

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The use of classical theories in liquid crystallization (i.e.Avrami model),give only a partial fit of the experiemntal data.This fact was explained because its was shown a drastic drop in the values of the interfacial free energy of the blends,but in the tripalmitin pure not.An alternative to the modeling to this type of systems was demonstrated with a one type of ANN.It compares the predictions of the ANN Vs the predictions of the Avrami model.The predictions of the ANN Vs the predictions of the Avrami model.The predictions of the ANN were good in all cases in the levels of cooling was low,but Avrami cannot fit the experimental data.The analysis of the ANN shown the possibility of the presence of two mechanism of crystallization associated to the cooling.
机译:在液晶中使用经典理论(即Avrami模型),只能得到部分经验数据。之所以解释这一事实,是因为它显示出混合物的界面自由能值急剧下降,但在混合物中Tripalmitin pure not.Triplemitin pure not。一种类型的ANN证明了这种系统建模的替代方法,它比较了ANN的预测与Avrami模型的预测.ANN的预测与Avrami模型的预测在所有情况下,在冷却水平较低的情况下,对ANN的预测都不错,但Avrami无法拟合实验数据。对ANN的分析表明,存在与冷却相关的两种结晶机理的可能性。

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