In this study, we examine the effect produced by different inflow conditions on the behavior of inertial particles within the wake produced by a normal flat plate. To this aim, we perform Euler–Lagrangian simulations of the particle-laden wake, using the in-house solver MGLET-LaParT. An unsteady wake with a Reynolds number of 60 is considered, and four inflow conditions are examined: uniform inflow, planar shear inflow, and addition of inflow turbulence to both uniform and planar shear. Particles with different Stokes numbers (, and 10) are analyzed. Particle dispersion, voids, and connected clusters are quantified using Voronoï tessellations and Minkowski functionals, along with statistics of concentration, particle velocity, and slip velocity. The results reveal a distinct influence of both inertia and inflow conditions. Uniform inflow produces symmetric lateral accumulation, whereas planar shear induces asymmetry and enhances wake centerline concentration. With the addition of inflow turbulence to planar shear, the particles at the periphery of the voids created by vortices become more dispersed and irregular, particularly at the highest Stokes number (). Cluster formation is analyzed by backtracking the particles that eventually form clusters. Further analysis indicates that cluster morphology depends on particle inertia: Elongated clusters are found at , the largest compact clusters at , and diffuse clusters at . Inflow conditions modulate cluster coherence, particularly at higher Stokes numbers. The probability distributions of normalized cluster areas exhibit power-law decay, highlighting fractal, scale-free organization dominated by intermediate-sized clusters. We believe these findings provide a quantitative framework linking inflow, inertia, and wake dynamics, offering benchmarks for predictive multiphase flow models.
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