Lattice Boltzmann Simulation of Non-Steady-State Particulate Matter Filtration Process in Woven Fiber

To enhance the design process of high-performance woven fibers, it is vital to clarify evolution particle dendrites, dynamic pressure drop, and capture efficiency with respect dust loading during non-steady-state filtration process. A general element (orthogonal elliptical fibers) filter cloths numerically simulated using 3D lattice Boltzmann-cell automation (LB-CA) method, where gas dynamics solved by LB method while solid motion described CA probabilistic approach. The dendrite morphologies are evaluated under various diameters, aspect ratios, packing densities, inlet fluid velocities. For submicron particles in “Greenfield gap” range, revealed that normalized drop an exponential function mass deposited particles, rate increase exactly proportional perimeter fibers. Moreover, a linear mass. It not advisable density too much, as this might simply rather than enhancing efficiency. also worth noting fitting slope more likely grow linearly once ratio exceeds 1.6, indicating orthogonal fibers offer higher normal cylindrical work beneficial gain insights into angular distribution well prediction growth fiber. These efforts could help deepen understanding realize assistant designing for performance fiber future.