Advanced Cyclone Systems, S. A. (ACS) articles

The purpose of this work is to build a model to predict in a more realistic way the collection efficiency of gas cyclones, and in particular, of numerically optimized cyclones, that show very high collection efficiencies for sub-micrometer particles. These cyclones can be coupled to recirculation systems for further improving the collection efficiencies of these fine particles.

As a first approach, in this paper a reverse-flow gas-cyclone without re

The purpose of this work is to build a model to predict in a more realistic way the collection efficiency of a gas cyclone recirculating system (Chibante et al., 2007; Salcedo et al., 2007). These systems consist in an optimised reverse-flow cyclone articles via a straight-through cyclone concentrator, with very high collection efficiencies for very fine particles.

As a first approach, in this paper a reverse-flow gas-cyclone without recirculation was studied. The model starts by solv

This paper addresses the theoretical development and experimental validation of optimized recirculating reverse-flow gas cyclones. The simulation of these systems is based on the predictive properties of a finite diffusivity model, modified to include partial recirculation of the cyclones` emissions.

Experimental validation was obtained at laboratory and pilot scales at low temperatures (up to 350 K) and for cork waste biomass boilers at higher temperatures (up to 600 K). Under certai

This paper addresses the optimum design of reverse-flow gas cyclones through the solution of 2 numerical nonlinear optimization problems that respectively maximize cyclone collection and an efficiency/cost ratio. The simulation model was based on the predictive properties of the 1998 finite diffusivity model of Mothes and Löffler, in which the particle turbulent dispersion coefficient is estimated through an empirical correlation between the radial Peclet and Reynolds numbers. The optimi

This paper addresses the experimental validation of the optimum design of reverse-flow gas-cyclones, obtained through the solution of a numerical non-linear optimization problem, viz. maximizing cyclone collection. The simulation model is based on the predictive properties of a finite diffusivity model, where the particles` turbulent dispersion coefficient is estimated through an empirical correlation between the radial Peclet and Reynolds numbers. The optimizations were formulated with const