The shock-induced dispersal of particle curtains with varying material density

Shock-Particle-Interaction Study with a Hyperbolic Two-Fluid Model

“…The experimental setup of reference is the SNL multiphase shock tube, which has been used for a decade [37] to study shock-particle-curtain interactions in the dense regime. It has the advantage to provide the most recent measurements over a wide range of material density, high-speed flow regimes (from supersonic [6] to hypersonic [38]) and gas-solid regimes. In the experiment, the shock tube is filled with a high-pressure gas (driver gas) and a gas at ambient conditions (driven gas).…”

“…The domain is defined as [−L/2, L/2]. The data used in this work [6,38] have the advantage of compiling a wide range of material densities, curtain widths, particle concentrations and gas-flow regimes. Indeed, the most recent configurations have supersonic shocks, which have not yet been studied extensively.…”

“…This has already been discussed in [15] where several α p isocontours are displayed, which correspond to very different curtain-edge evolution with time. In the two references used here [6,38], the curtain edges were taken as 95% of the maximum pixel intensity. Here, the same metric is used where the pixel intensity corresponds to the maximum volume fraction in the domain at a given time.…”

“…This first study aims to provide a detailed description of the physics of shock-particle-curtain interactions by focusing on configuration 1 of table 5. This case is also detailed in the results section of [6] where a temporal pressure evolution is given at the two locations x 1 and x 2 represented in fig. 2b.…”

“…The resulting solvers [15,28,30,32] are then able to model dilute-to-dense granular multiphase flows. In the literature, experimental studies have been mainly focused on the development of universal scaling laws to predict the curtain spreading rate [6,7,35], while in numerical works, the use of the shock-curtain case was used among other validation test cases to assess the numerical methods more than the modeling [15,28,32]. However, more extensive studies have been performed to propose model improvements based on a comparison of experimental and numerical results for monodisperse [18,30] and bidisperse granular phase [40].…”