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

Authors

  • José-Alberto Gallegos-Infante Instituto Tecnológico de Durango
  • Ramiro Rico-Martínez Instituto Tecnológico de Durango
  • Nuria E. Rocha Guzmán Instituto Tecnológico de Durango
  • Rubén F. González-Laredo Instituto Tecnológico de Durango
  • Juliana Morales Castro Instituto Tecnológico de Durango

DOI:

https://doi.org/10.3989/gya.2003.v54.i3.242

Keywords:

Artificial neural network, Avrami, Modeling

Abstract


The use of classical theories in lipid crystallization (i.e. Avrami model), give only a partial fit of the experimental 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 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.

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Published

2003-09-30

How to Cite

1.
Gallegos-Infante J-A, Rico-Martínez R, Rocha Guzmán NE, González-Laredo RF, Morales Castro J. The crystallization prediction of tripalmitin in triolein: an artificial neural network (ann) approach. Grasas aceites [Internet]. 2003Sep.30 [cited 2024Jul.25];54(3):272-6. Available from: https://grasasyaceites.revistas.csic.es/index.php/grasasyaceites/article/view/242

Issue

Section

Research

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