• Dec 31, 2019 News!Welcome Assoc. Prof. David E. Breen from USA to join the Editorial board of IJMO.   [Click]
  • May 15, 2019 News!Vol.7, No.5- Vol.8, No.4 have been indexed by EI (Inspec).   [Click]
  • Apr 10, 2020 News!Vol. 10, No. 3 has been published with online version.   [Click]
General Information
    • ISSN: 2010-3697  (Online)
    • Abbreviated Title: Int. J. Model. Optim.
    • Frequency: Bimonthly
    • DOI: 10.7763/IJMO
    • Editor-in-Chief: Prof. Adrian Olaru
    • Executive Editor: Ms.Yoyo Y. Zhou
    • Abstracting/ Indexing: ProQuest, Crossref, Electronic Journals Library, Google Scholar, EI (INSPEC, IET), EBSCO, etc.
    • E-mail ijmo@iacsitp.com
Prof. Adrian Olaru
University Politehnica of Bucharest, Romania
I'm happy to take on the position of editor in chief of IJMO. It's a journal that shows promise of becoming a recognized journal in the area of modelling and optimization. I'll work together with the editors to help it progress.
IJMO 2011 Vol.1(4): 284-288 ISSN: 2010-3697
DOI: 10.7763/IJMO.2011.V1.49

Modeling the Free Convection Heat Transfer in a Partitioned Cavity by the Use of Fuzzy Logic

T. Yousefi, A. Karami, S. Mahmoudinezhad, M. Mahdipour Jalilian, and M. Ahmadi

Abstract—In this paper fuzzy logic method has been used to model and predict the experimental results of steady free convection heat transfer in a partitioned cavity with adiabatic, horizontal and isothermally vertical walls and an adiabatic partition. Experiments covered Rayleigh number ranging from 1.5×10 5 to 4.5×10 5 and the angle of the partition with respect to horizon from 0° to 90°. Results indicate that, at a constant angle of the adiabatic partition, the average Nusselt number and consequently heat transfer increases with the increase of Rayleigh number and at a constant Rayleigh number, the maximum and minimum heat transfer occurs at the partition angle of 45° and 90°, respectively. Velocity contours from a commercial code, Fluent, has been used to analyze the variation of heat transfer in the cavity. A fuzzy inference system named Mamdani was used to expect the output membership functions to be fuzzy sets. It has been shown that fuzzy logic is a powerful tool for predicting the experiments, due to its low error. The average error of fuzzy predictions with respect to experimental results was found to be 0.37% for this study.

Index Terms—Free convection, partitioned cavity, interferometry, mach-zehnder, fuzzy logic, mamdani inference system.

T. Yousefi, A. Karami, and M. Mahdipour Jalilian are with the Mechanical Engineering Department, Razi University, Kermanshah, Iran (e-mail:t.yousefi2686@yahoo.com),(e-mail:Alimohammad.karami@yahoo. com),(e-mail:maziar.1986.2000@gmail.com)
S. Mahmoudinezhad is with the Mechanical Engineering Department, Islamic Azad University, Gachsaran Branch, Gachsaran, Iran (e-mail: mahmoodi8125@yahoo.com).
M. Ahmadi is with the Engineering Science, Simon Fraser University (e-mail: ahmadi.mehran@gmail.com)


Cite: T. Yousefi, A. Karami, S. Mahmoudinezhad, M. Mahdipour Jalilian, and M. Ahmadi, "Modeling the Free Convection Heat Transfer in a Partitioned Cavity by the Use of Fuzzy Logic," International Journal of Modeling and Optimization vol. 1, no. 4, pp. 284-288, 2011.

Copyright © 2008-2020. International Journal of Modeling and Optimization. All rights reserved.
E-mail: ijmo@iacsitp.com