OPTIMIZATION OF THE DRYNESS OF GARI PARTICLES IN A FLUIDIZER USING COMPUTATIONAL FLUID DYNAMICS(CFD)
Title: Optimization of the Dryness of Gari Particles in a Fluidizer Using Computational Fluid Dynamics (CFD)
Permalink: http://www.ijetjournal.org/optimization-gari-drying-cfd
Description: This paper explores how Computational Fluid Dynamics (CFD) modeling can optimize the drying process of gari particles in a fluidizer. It highlights experimental validation, efficiency improvements, and practical benefits for food processing industries.
Keywords: CFD Model, Drying, Fluidizer, Gari, Optimization, IJET Journal
International Journal of Engineering and Techniques – Volume 10 Issue 2, April 2024
Ejiko, Samuel Omojola, Adefidipe, Ebenezer Rotimi, Adejumo, Samuel Miracle
Affiliations:
1. Department of Mechanical Engineering, The Federal Polytechnic, Ado-Ekiti, Nigeria
2. Department of Welding and Fabrication, The Federal Polytechnic, Ado-Ekiti, Nigeria
3. Olusegun Obasanjo Centre for Engineering Innovation, The Federal Polytechnic, Ado-Ekiti, Nigeria
Email: adefidipe_er@fedpolyado.edu.ng
Abstract
This study applies Computational Fluid Dynamics (CFD) modeling to optimize the drying process of gari particles in a fluidizer. Traditional drying methods lead to inconsistent dryness levels, affecting product quality. The CFD model simulates fluid flow and heat transfer, accounting for the physical properties of gari, air velocity, and temperature. Experimental validation confirms the accuracy of this approach, offering a cost-effective method for improving efficiency in food processing industries.
Keywords
CFD Model, Drying, Fluidizer, Gari, Optimization, IJET Journal
How to Cite
Ejiko, Samuel Omojola, Adefidipe, Ebenezer Rotimi, Adejumo, Samuel Miracle, “Optimization of the Dryness of Gari Particles in a Fluidizer Using Computational Fluid Dynamics (CFD),” International Journal of Engineering and Techniques, Volume 10, Issue 2, April 2024. ISSN 2395-1303
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