A scanning particle tracking velocimetry technique for high‑Reynolds number turbulent flows

The number concentration of ultrafine particles was evaluated using an Electric Low Pressure Impactor (ELPI TM ), a Fast Mobility Particle Sizer (FMPS TM ), and a Condensation

We present here recent results of TransAT’s particle transport predictions to conditions of one-way, two-way and four-way particle-flow coupling, spanning the three flow regimes

Figure 5: Carbon mass flux and temperature as a function of the particle Reynolds number for case 1.TCI denotes simu- lations using the eddy dissipation concept (EDC) to ac- count

Detailed characterization of cold-finger deposits and off-gas particle size distributions was performed using image analysis (IA) and a Particle Diffraction Sizer (PDS) to

Here, we present a harmonized dataset of CCN number concentrations and particle number size distributions for 11 stations, and particle chemical composition for a subset of

Compared to particle tracing in steady flows, the tracing of particles in unsteady flows is more time-consuming due to the following reasons: Firstly, the velocity fields have to

For classification of the late-time flow field in the particle cloud, these two parameters are more appropriate than the Mach number behind the incident shock wave and Re p based on

The AUTODYN-2D simulations have been found to give results that are in good agreement with the experiment, whereas the cavity expansion theory shows poor agreement with the