Investigation on the Turbulence Models Effect of a Coal Classifier by Using Computational Fluids Dynamics

Abstract:

This study evaluates five turbulence models to determine the best models to be implemented as it representing the turbulent flow inside the lab scale classifier. The models studied are: The standard ƙ-ɛ model, Renormalization-group (RNG) ƙ-ɛ model, Realizable ƙ-ɛ model, Standard k-ω model, and Reynolds stress model (RSM). Through analysis of air flow, the air velocity data can be obtained from computational fluid dynamics (CFD), the result shows that, standard ƙ-ɛ model and Realizable ƙ-ɛ model are found to be more appropriate to use than the other turbulence models. The model validation is conducted by comparing the simulated velocities with experimental data in a lab scale classifier from literature. ANSYS software is selected to be used to run the simulation and analysis.

• Periodical: Applied Mechanics and Materials (Volumes 465-466)
• Pages: 617-621
• DOI: https://doi.org/10.4028/www.scientific.net/AMM.465-466.617
• Online since: December 2013
• Authors: Norasikin Mat Isa*, Ahmad Norman Khalis Ahmad Fara, Norzelawati Asmuin
• Keywords: Classifier, Computational Fluid Dynamics (CFD), Turbulence Model

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