Wear reduces velocity and turbulence by reducing the volume of impeller blades; yet there is a lack of knowledge on flotation cells. Additionally, there is a lack of knowledge in the literature regarding the effect of blade wear on bubble–particle interactions. Hence, computational fluid dynamics simulations investigated artificial impeller blade wear of a laboratory–scale Denver cell. Simulations of chalcopyrite flotation showed that blade wear increased floatability of 10 μm particles by 1.4 %, but decreased that of 180 μm particles by 3.0 %. Accordingly, it is proposed that curved surfaces due to wear increased ε (volume–averaged ε [m²/s³]: no–wear 20.5 and wear 25.8), increasing collision of fine particles and detachment of coarser particles. These were supported by results from large eddy simulation and particle image velocimetry measurements using three–dimensional (3D) printed impellers. Finally, experimental results from flotation experiments using 3D printed impellers and 250–300 μm methylated quartz confirmed a floatability decrease (2.1 %–3.8 %) due to wear.

磨损通过减少叶轮叶片的体积来降低速度和湍流；然而，对浮选电池缺乏了解。此外，文献中缺乏关于叶片磨损对气泡-粒子相互作用的影响的知识。因此，计算流体动力学模拟研究了实验室规模的丹佛电池的人工叶轮叶片磨损。黄铜矿浮选模拟表明，叶片磨损使 10 μm 颗粒的可浮性增加了 1.4%，但使 180 μm 颗粒的可浮性降低了 3.0%。因此，建议由于磨损导致的曲面增加 ε（体积平均 ε [m ² /s ³]：无磨损 20.5 和磨损 25.8)，增加了细颗粒的碰撞和粗颗粒的脱离。这些得到了大涡模拟和使用三维 (3D) 打印叶轮的粒子图像测速测量结果的支持。最后，使用 3D 打印叶轮和 250–300 μm 甲基化石英的浮选实验结果证实，由于磨损，可浮性下降 (2.1%–3.8%)。