Experimental and CFD-DEM study of the dispersion and combustion of wheat starch and carbon-black particles during the standard 20L sphere test

摘要

The 20L sphere is one of the standard devices used for dust explosivity characterization. One concern about the effectiveness and reliability of this test is related to the particle size variation due to particles' agglomeration and de-agglomeration. These phenomena are related to the turbulent regime of the dust cloud during the dispersion. This variable must be considered since it determines the uncertainty level of the ignitability and severity parameters of dust combustion. In this context, this study describes the influence of the cloud turbulence on the dust segregation and fragmentation through a study combining both, experimental and computational approaches. The behavior of the gas-solid mixture evidenced with the standard rebound nozzle was compared with that observed with six new nozzle geometries. Thereafter, the time-variation of the Particle Size Distribution (PSD) within the 20L sphere was analyzed for two different powders: carbon-black and wheat starch. On the one hand, the turbulence levels and PSD variations were characterized by Particle Image Velocimetry (PIV) tests and granulometric analyses, respectively. On the other hand, a computational approach described the dispersion process with CFD-DEM simulations developed in STAR-CCM + v11.04.010. The simulation results established that the homogeneity assumption is not satisfied with the nozzles studied. Nonetheless, the particles segregation levels can be reduced using nozzles that generate a better dust distribution in the gas-solid injections. Subsequently, an additional first-approach CFD model was established to study the behavior of the combustion step for a starch/air mixture. This model considers the gas-phase reactions of the combustible gases that are produced from the devolatilization of wheat starch (CO, CH4, C2H4, C2H6, C2H2, and H-2) and allowed to establish the approximate fraction of the particle mass that devolatilizes, as well as to confirm that the modeling of the pyrolysis stage is essential for the correct prediction of the maximum rate of pressure rise.