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Analysis and optimization of cyclone separators using RANS & LES methodologies

Friday, 28 October, 2011 - 17:00
Campus: Brussels Humanities, Sciences & Engineering campus
Khairy Elsayed
phd defence

Gas-solids cyclone separators are for more than a century widely
used as industrial equipment. Due to their relevance, a large number of
experimental, theoretical & computational studies have been reported in
the literature aiming at understanding and predicting the performance of
cyclones in terms of pressure loss and collection efficiency (cut-off

The cyclone performance parameters are governed by many
geometrical and operational parameters (e.g., the gas flow rate &
temperature). This study focuses only on the effect of the geometrical
parameters on the flow field pattern and performance of tangential inlet
cyclone separators. Three different approaches are used: mathematical
models, artificial neural networks and CFD. The study was limited to
reverse-flow gas-solids cyclone separators operating at low solids

The objective of this study is four-fold. Firstly, determine the most
significant factors affecting the cyclone performance based on previous
studies and statistical analysis of data using response surface
methodology. Secondly, study each (significant) parameter separately to
obtain more details of its effect on the flow field pattern. Thirdly, obtain
the optimum geometrical ratios for minimum pressure drop. Finally,
obtain the most efficient cyclone design for best performance (minimum
pressure drop and minimum cut-off diameter) using multi-objective
optimization techniques with two different optimization techniques:
Nedler-Mead with desirability function and genetic algorithms with
Pareto front. The outcome of this study is a new optimal design to replace
the standard design for improved, superior performance.