Indoor respirable suspended particles may accumulate on textured surfaces such as sofa surfaces and office partitions via particle deposition. Previous studies mainly focus on particle deposition on non-patterned rough surfaces or patterned surfaces with texture scale larger than millimeters, and it is generally concluded that deposition rate increases due to the roughness. However, many indoor surfaces are patterned textures with scale in the order of 100 μm and there is a lack of study of particle deposition behavior in this regime. This study investigates the effect of patterned microstructured surfaces on particle deposition in a turbulent chamber. Different shapes (triangular, rectangular, semi-circular convex and semi-circular concave ribbed structures) and pitch-to-height ratios (i.e. ratio of spacing to height) of patterned structures were studied. Particle sizes ranging from 0.3 μm to 5 μm in diameter were tested. It is found that for submicron particles, deposition velocity was increased by the patterned microstructures, and triangular-ribbed surfaces achieved the highest deposition velocity, which was 10 times higher than that on a non-patterned surface. For micron particles, it is found that deposition velocity was lower than that of a non-patterned surface. Our results show that particle deposition is not always enhanced by roughness and it is possible to be reduced by a suitable length scale of patterned structures.

室内可吸入的悬浮颗粒可能会通过颗粒沉积而积聚在有纹理的表面（例如沙发表面和办公室隔板）上。先前的研究主要集中在非图案化粗糙表面或纹理尺寸大于毫米的图案化表面上的颗粒沉积，并且通常得出的结论是，沉积速度由于粗糙度而增加。然而，许多室内表面是图案化的纹理，其规模在100μm左右，并且在这种情况下缺乏对颗粒沉积行为的研究。这项研究调查了构图的微结构表面对湍流室内颗粒沉积的影响。不同的形状（三角形，矩形，半圆形凸形和半圆形凹肋形结构）和间距高度比（即 研究了图案结构的间距与高度之比。测试了直径范围从0.3μm到5μm的粒径。发现对于亚微米颗粒，通过构图的微结构增加了沉积速度，并且三角形肋状表面实现了最高的沉积速度，这是在未构图的表面上的十倍。对于微米颗粒，发现沉积速度低于非图案化表面的沉积速度。我们的结果表明，颗粒沉积并不总是通过粗糙度来增强，并且可以通过适当的构图结构的长度尺度来减少。三角肋表面的沉积速度最高，是非图案表面的沉积速度的10倍。对于微米颗粒，发现沉积速度低于非图案化表面的沉积速度。我们的结果表明，颗粒沉积并不总是通过粗糙度来增强，并且可以通过适当的构图结构的长度尺度来减少。三角肋表面的沉积速度最高，是非图案表面的沉积速度的10倍。对于微米颗粒，发现沉积速度低于非图案化表面的沉积速度。我们的结果表明，颗粒沉积并不总是通过粗糙度来增强，并且可以通过适当的构图结构的长度尺度来减少。