Air filters with a low resistance, high filtration efficiency, and long lifetime are important to ensure good indoor air quality. In this study, the lattice Boltzmann method is applied on six types of fibrous filter media with lognormal-distribution models, which consider the influence of the solid fraction, number of fibers, and average fiber diameter. The influences of the filtration velocity and fiber layout on the resistance, efficiency, and quality factor are discussed. The resistance is found to be relatively low when the solid fraction inside the filter media is uniformly distributed. The filter media with a random lognormal-distribution model demonstrated the best filtration performance in terms of quality factor. However, when the solid fraction is uniform along the thickness of the filter media, the comprehensive filtration performance is the best when a small fiber is near the inlet and a large one is close to the outlet. This study provides a viable numerical method for performance optimization of air-filtration devices for the next-generation cleanroom industry.

低阻力，高过滤效率和长寿命的空气过滤器对于确保良好的室内空气质量至关重要。在这项研究中，将格子Boltzmann方法应用于具有对数正态分布模型的六种类型的纤维过滤介质，该模型考虑了固体分数，纤维数量和平均纤维直径的影响。讨论了过滤速度和纤维布局对阻力，效率和品质因数的影响。当过滤介质内部的固体部分均匀分布时，发现阻力相对较低。具有随机对数正态分布模型的过滤介质在质量因子方面显示出最佳的过滤性能。但是，当固体部分沿过滤介质的厚度均匀时，当小纤维靠近入口而大纤维靠近出口时，综合过滤性能最佳。该研究为下一代洁净室行业的空气过滤装置性能优化提供了可行的数值方法。