Dispersion of Particle-laden Jet in Supersonic Crossflow (PJSC) is an essential process in many applications, experimental study on which, however, has rarely been reported. In order to gain physical insights into PJSC, a specialized experimental setup capable of producing a supersonic crossflow at Mach 2.6 and a particle-laden jet with particle mass loading up to 60% is developed. Visualization of the particles motion is achieved with the help of high-speed planar laser scattering technology. The dispersion characteristics of PJSC within a supersonic channel structured by cavity are systematically analyzed through six experimental cases. The results indicate that the vortices have a significant influence on particle dispersion, leading to preferential concentration of particles, i.e. particle clusters. The particle dispersion is summarized as the “scale dispersion” pattern. The primary pathways for particles entering the cavity are identified as the shear layer above the cavity and collisions at the cavity rear edge. Among the studied factors, the momentum flux ratio exerts the most substantial influence on the dispersion process. Importantly, a reduction in the injection distance is correlated with less particles entering the cavity. The insights gained from this research provide essential references for furthering understanding particle dispersion mechanisms in supersonic flows and developing highly accurate numerical models.

A numerical model for aluminum cloud combustion which includes the effects of interphase heat transfer, phase change, heterogeneous surface reactions, homogeneous combustion, oxide cap growth and radiation within the Euler–Lagrange framework is proposed. The model is validated in single particle configurations with varying particle diameters. The combustion process of a single aluminum particle is analyzed in detail and the particle consumption rates as well as the heat release rates due to the various physical/chemical sub-models are presented. The combustion time of single aluminum particles predicted by the model are in very good agreement with empirical correlations for particles with diameters larger than 10 μm. The prediction error for smaller particles is noticeably reduced when using a heat transfer model that is capable of capturing the transition regime between continuum mechanics and molecular dynamics. The predictive capabilities of the proposed model framework are further evaluated by simulating the aluminum/air Bunsen flames of McGill University for the first time. Results show that the predicted temperature distribution of the flame is consistent with the experimental data and the double-front structure of the Bunsen flame is reproduced well. The burning rates of aluminum in both single particle and particle cloud configurations are calculated and compared with empirical correlations. Results show that the burning rates obtained from the present model are more reasonable, while the correlations, when embedded in the Euler–Lagrange context, tend to underestimate the burning rate in the combustion stage, particularly for the considered fuel-rich flames.