Multi-objective optimization of cyclone separators in series based on computational fluid dynamics

摘要: Abstract The pressure drop and collection efficiency are generally the most relevant parameters when evaluating performance of gas-solid cyclone separators. In optimization procedures, mathematical models used to find best possible compromise between efficiency, based on design preferences. Although several geometry studies single configurations have been reported, multiple cyclones in series remain relatively unexplored this regard. Highly sophisticated described literature, but researchers mostly use lower fidelity due shorter computational times involved. Also, more used, authors tend employ surrogate modeling approaches, which reduce add another layer uncertainty. addition, optimized either or drop, usually by adding a constraint other parameter. contrast, herein, we describe multi-objective three high fluid dynamics (CFD) modeling. A fully automated methodology solving problem is evaluated, with COBYLA method an Eulerian-Eulerian six-phase two-way CFD approach simultaneously minimizing maximizing efficiency. No here, means that results simulations directly procedures. obtained indicate trios outperform conventional Stairmand (high efficiency) Lapple (moderate drop) geometries. minimization emission resulted 30 less solids being emitted compared trio. When energy consumption, was 50% geometry. balancing were considerably better than both geometries (e.g. 33% combined 30% Lapple). This demonstrates delivers excellent highly feasible industrial timescales without compromising model used.