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Civil-Comp Proceedings
ISSN 1759-3433 CCP: 105
PROCEEDINGS OF THE NINTH INTERNATIONAL CONFERENCE ON ENGINEERING COMPUTATIONAL TECHNOLOGY Edited by:
Paper 73
An Experimental and Numerical Study of Gas Flow Laminar in a Thermal Reactor A. Bellil1,2, K. Benhabib2, P. Coorevits2, C. Marie2, M. Hazi1 and A. Ould-Dris1
1University of Technology of Compiègne, TIMR, France
A. Bellil, K. Benhabib, P. Coorevits, C. Marie, M. Hazi, A. Ould-Dris, "An Experimental and Numerical Study of Gas Flow Laminar in a Thermal Reactor", in , (Editors), "Proceedings of the Ninth International Conference on Engineering Computational Technology", Civil-Comp Press, Stirlingshire, UK, Paper 73, 2014. doi:10.4203/ccp.105.73
Keywords: residence times distribution, computational fluid dynamics, laminar flow, discrete element method.
Summary
The simple control of energy conversion in a thermal reactor has a negative impact
on the environment, as a result of the emission of greenhouse gases. It is also related
to energy consumption, which is important for weak yields, and creates problems for
reacting flows. The present paper is concerned with the optimization of the operation
of energy equipment and prevention of their dysfunction. The objective of this study
is the development of experimental method for characterization of gas flows in order
to detrmine the residence times distribution for gaseous phases. On the other hand,
developing a numerical model that combines both a discrete granular behavior using
the discrete element method and the approach of computational fluid dynamics thus
allowing optimization and extrapolation facilities on an industrial scale to mitigate
the shortcomings observed in the reactors such as, dead zones or poor fluidization,
short circuits, etc. The first approach proposed is based on a finite volume
computational fluid dynamics modeling of the behavior of a single-phase fluid, this
model allows us to obtain the trajectory of a particle and the residence time
distribution. The experimental study performed in parallel, allows us to validate our
numerical model and apply it to other configurations.
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