Multi-objective optimization of cyclone separators using mathematical modelling and large-eddy simulation for a fixed total height condition

Abstract

The present study aims at enhancing the cyclone performance by optimizing its geometry while keeping the total height constant. We consider three different cases of optimization with five geometrical entities as common to all cases viz. main body of cyclone, vortex finder diameter and its insertion length, the height of conical segment and cone tip diameter. The way the inlet area is treated classifies the present study in three cases – in the first case (referred to as Case A) the inlet dimensions are not subjected to optimization; in the second case (referred to as Case B), the inlet dimensions are subjected to optimization while retaining the original area magnitude; and in the third case (referred to as Case C), the inlet is subjected to optimization without restrictions on area magnitude. Owing to several geometrical parameters considered for optimization, we use the Muschelknautz method of modelling (MM) – a popular mathematical model – as a metamodel to genetic algorithms (GAs) for optimization. Few selected Pareto front points have been numerically investigated and the performance comparison elucidates a significant improvement over the baseline model. Conclusive results indicate more than a 40% reduction in the pressure drop values over the standard model followed by an improvement in the collection efficiency. Hence, the optimized datasets would provide the new guidelines to designers and would facilitate making selections based upon the relevance.