WSEAS Transactions on Systems


Print ISSN: 1109-2777
E-ISSN: 2224-2678

Volume 16, 2017

Notice: As of 2014 and for the forthcoming years, the publication frequency/periodicity of WSEAS Journals is adapted to the 'continuously updated' model. What this means is that instead of being separated into issues, new papers will be added on a continuous basis, allowing a more regular flow and shorter publication times. The papers will appear in reverse order, therefore the most recent one will be on top.


Volume 16, 2017



Semi-Mechanistic Modeling of an Osmotic Dehydration Process

AUTHORS: Carlos Collazos, Hermes Castellanos, Ary Burbano, Jorge Cardona, Javier Cuervo, Adriana Maldonado

Download as PDF

ABSTRACT: This article presents a semi-mechanistic model (a hybrid of the classic and fuzzy models) of an osmotic dehydration process of pineapple. The fuzzy model (Takagi-Sugeno) represents a kinetic parameter of the physical process and it is developed through fuzzy clasification of data (Gustaffson-Kessel algorithm). The fuzzy model is then incorporated in the mass conservation equation (classic model) aiming at the numerical prediction of the process. Experiments and validations are presented

KEYWORDS: Physics Model, Osmotic Dehydratation

REFERENCES:

[1] Z. Jiang and J. Zhang and M. Jin and B. Ma, An Expert system Based on Multi-Source Signal Integration for Reciprocating Compressor, WSEAS Transactions on Systems, Vol. 12, 2013, pp. 266- 279.

[2] S. Hrehova and A. Vagaska, Application of Fuzzy Principles in Evaluating Quality of Manufacturing Process, WSEAS Transactions on Power Systems, Vol. 7, 2012, pp. 50-59.

[3] G. Wang and S. Chen and Z. Zhou and J. Liu, Modelling and Analyzing Trust Conformity in ECommerce Based on Fuzzy Logic, WSEAS Transactions on Systems, Vol. 14, 2015, pp. 1- 10.

[4] L. Borisova and I. Nurutdinova and V. Dimitrov, Fuzzy Logic Inference of Technological Parameters of the Combine-Harvester, WSEAS Transactions on Systems, Vol. 14, 2015, pp. 278-285.

[5] A. M. Kassem, Fuzzy-Logic Based Self-tuning PI Controller for High-Performance Vector Controlled Induction Motor Fed by PVGenerator, WSEAS Transactions on Systems, vol. 12, pp. 22-31, 2013.

[6] W. F. Xie and J. H. Ma, Optimization of a Vendor Managed Inventory Supply Chain Based on Complex Fuzzy Control Theory, WSEAS Transactions on Systems, vol. 13, pp. 429-439, 2014.

[7] J.M. Barat, Desarrollo de un modelo de la deshidratacion osm ´ otica como operaci ´ on b ´ asica. ´ Doctoral Thesis. Universidad Politecnica de Va- ´ lencia, Spain, 1990.

[8] J. Crank, The mathematics of the diffusion, Lorendon Press, Oxford, U.K.,1975.

[9] P. Fito and A. Chiralt, Osmotic dehydration: An approach to the modeling of solid food-liquid operations. Food Engineering 2000, Ed. Chapman & Hall, Spain, 2000, pp. 231-252.

[10] G. Gonzalez, Viabilidad de la pi ´ na colom- ˜ biana var. cayena lisa para su industrializacion´ combinando las operaciones de impregnacion a ´ vac´ıo, deshidratacion cayena lisa ´ (ananas comosus l. meer) a traves de un modelo matem ´ atico, ´ Agroindustrial Engineering undergraduate thesis, Universidad de La Sabana, Colombia, 2000.

[11] S. Jaller and S. Vargas, Comparacion de la trans- ´ ferencia de materia en los procesos de deshidratacion osm ´ otica a presi ´ on atmosf ´ erica y con ´ impregnacion de vac ´ ´ıo en la pina cayena lisa ˜ (ananas comosus l. meer) a traves de un mod- ´ elo matematico, Agroindustrial Engineering un- ´ dergraduate thesis, Universidad de La Sabana, Colombia, 2000.

[12] B. Wullner, Instrumentacion y control de un ´ deshidratador osmotico a vac ´ ´ıo, Agroindustrial Engineering undergraduate thesis, Universidad de La Sabana, Colombia, 1998.

[13] D. Torregiani, Osmotic dehydratation of food, Trends in Food Sciencie & Technology, Vol 5, 1995, p. 255-260.

[14] T. Takagi and M. Sugeno, Fuzzy identification of sys-tems and its applications to modeling and control, IEEE Transactions Systems, Man, and Cybernetics, 15, 116-132, 2011.

[15] L. Wang, A Course in Fuzzy Systems and Control. Prentice Hall, 2007.

[16] J. Abonyi and R. Babuska, Fuzzy Clustering for Identification of Takagi-Sugeno Fuzzy Models, IEEE Trans. on Systems, Man and Cybernetic, Part B, October, 2002.

[17] R. Babuska, Fuzzy Modeling for Control, Kluwer Academic Publishers: Massachusetts, USA, 1998.

[18] D. Gustafson and W. Kessel, Fuzzy Clustering with a Fuzzy Covariance, Proc.IEEE CDC, pp 761-766, San Diego, CA, USA, 1979.

[19] R. Babuska, FAMIMO, ,

[cited on August 4th, 2015].

WSEAS Transactions on Systems, ISSN / E-ISSN: 1109-2777 / 2224-2678, Volume 16, 2017, Art. #4, pp. 27-35


Copyright © 2017 Author(s) retain the copyright of this article. This article is published under the terms of the Creative Commons Attribution License 4.0

Bulletin Board

Currently:

The editorial board is accepting papers.


WSEAS Main Site