The study of weave-pattern effect on filtration performance of woven filter cloths by computational fluid dynamic modeling

Abstract

An important global problem that has an impact on both human health and the environment is air pollution. Exercise and outdoor activities are essential for human well-being, but they can also have a detrimental effect on health and the environment. For example, PM2.5 and PM10 particles can enter the lungs and cause respiratory and cardiovascular disorders. Moreover, masks must be worn in order to stop the COVID-19 epidemic from spreading. Nevertheless, not all masks are effective in preventing viruses and air pollution. Consequently, selecting the proper mask is essential for avoiding health risks. Using the use of computational fluid dynamics, this study will examine the filtering capabilities of three different types of woven filter materials, including plain, oblique, and satin weaves.�The experiment makes use of a laminar flow system and concentrates on particles smaller than 10 microns. The findings demonstrate that the simulation model's predictions for particles with diameters between 30 and 450 nanometers are correct, which may be used to create efficient masks that can shield users from airborne viruses and contaminants as they exercise.