Particle-resolved simulation is performed to study the drag force on arrays of ellipsoidal particles with a temperature difference with respect to the surrounding fluid. The effect of particle shape, arrangement, solid volume fraction and particle temperature is examined. We found that the particle shape and arrangement strongly influence the drag coefficient C_D when the particle volume fraction ϕ is small. The influence, however, is inhibited as ϕ increases. We also show that the drag coefficient decreases with the increase of the solid volume fraction, which is a reversal of the trend found in previous uniform suspension systems. Moreover, C_D increases with the increase of particle temperature while slightly decreases with the fluid temperature. Through a novel decomposition analysis, we show that the increase of fluid viscosity causes the increase of C_D when the particle temperature is increased, while a combined effect of the fluid density, inlet velocity and the integral of the velocity gradient around particle on C_D was observed when the fluid temperature changes. Finally, new drag correlations, as power functions of Reynolds number, particle temperature and volume fraction, are proposed for clusters with different particle shapes and arrangements.

执行粒子分辨模拟以研究椭圆体粒子阵列上的阻力，其相对于周围流体具有温差。检查了颗粒形状、排列、固体体积分数和颗粒温度的影响。我们发现当颗粒体积分数φ小时，颗粒形状和排列强烈影响阻力系数C _D。然而，随着ϕ 的增加，这种影响被抑制。我们还表明阻力系数随着固体体积分数的增加而降低，这与以前均匀悬浮系统中发现的趋势相反。此外，C _D随颗粒温度升高而增大，随流体温度略有降低。通过新的分解分析，我们表明当颗粒温度升高时，流体粘度的增加导致C _D增加，而流体密度、入口速度和颗粒周围速度梯度积分的共同作用对C _D当流体温度变化时观察到。最后，提出了新的阻力相关性，作为雷诺数、粒子温度和体积分数的幂函数，用于具有不同粒子形状和排列的簇。