OATAO - Open Archive Toulouse Archive Ouverte Open Access Week

Ternary Blends of Vegetable Oils: Thermal Profile Predictions for Product Design

Teles dos Santos, Moises and Gerbaud, Vincent and Le Roux, Galo A.C. Ternary Blends of Vegetable Oils: Thermal Profile Predictions for Product Design. (2014) Computer Aided Chemical Engineering, 33. 1465-1470. ISSN 1570-7946

[img]
Preview
(Document in English)

PDF (Author's version) - Requires a PDF viewer such as GSview, Xpdf or Adobe Acrobat Reader
228kB

Official URL: https://dx.org/10.1016/B978-0-444-63455-9.50079-9

Abstract

This work deals with Product Design by means of theoretical predictions of the Solid Fat Content of different formulations using 3 vegetable oils. A Soli-Liquid Equilibrium (SLE) model was implemented and integrated into an optimization algorithm based on the Generalized Reduced Gradient method. A total of 3,696 SLE problems are solved, covering 57 binary blends, 3 pure vegetable oils and 171 ternary blends problems, before and after chemical interesterification reaction and at 8 different temperatures. A combinatorial random distribution of fatty acids in the glycerol structure is used to simulate the effect of the reaction. The results were compared with 256 experimental points, giving an average absolute error of 5.4 and 4.4 in Solid Fat Content for systems before and after reaction, respectively. Computer-aided tools can be useful to deal with the large combinatorial problem faced by product design, especially when desired product performance is related to a phase behavior in multicomponent mixtures.

Item Type:Article
HAL Id:hal-01876217
Audience (journal):International peer-reviewed journal
Uncontrolled Keywords:
Institution:French research institutions > Centre National de la Recherche Scientifique - CNRS (FRANCE)
Université de Toulouse > Institut National Polytechnique de Toulouse - INPT (FRANCE)
Université de Toulouse > Université Toulouse III - Paul Sabatier - UPS (FRANCE)
Other partners > Universidade de São Paulo - USP (BRAZIL)
Laboratory name:
Statistics:download
Deposited By: Loetitia MOYA
Deposited On:18 Sep 2018 09:44

Repository Staff Only: item control page