Advanced cloth face mask research through material and design studies

Advanced cloth face mask research through material and design studies

This project evaluated how different cloth mask materials and designs perform after repeated cleaning, with the goal of balancing filtration effectiveness and wearer comfort. Results showed that most fabrics retained – or even improved – filtration efficiency after 40 decontamination cycles, but often became less breathable due to shrinkage, fiber damage, and detergent buildup. 

The study also introduced a new method for assessing mask fit during movement using 3D head scans, enabling more accurate evaluation of leakage and comfort.

These findings provide evidence-based guidance for designing reusable, high-performing cloth masks, and the fit-assessment method offers a scalable tool for improving not only masks but also broader wearable headgear.

1. Our decontamination work found that while most fabrics maintained or improved their filtration efficiency after 40 decontamination cycles, the air permeability of many fabrics decreased due to detergent buildup, fiber breakage, and fabric shrinkage. Tightly woven cotton fabrics had unacceptably low air permeability and filtration efficiency. Knit and nonwoven structures had the best balance of properties; although we do not recommend these fabrics as single-layer masks, they have potential use in multilayer masks. 

2. We developed a new methodology to assess the dynamic fit of face masks, a methodology that can be implemented within an iterative design process to enable new face mask prototypes that optimize comfort, fit, and filtration performance, with possibilities as smart wearable devices. 

While public interest in and need for face masks has thankfully waned for the time being, our work will provide scientifically validated information when the need arises again. Further, the design results we generated can be generalized beyond cloth face masks to other face masks and headgear (medical and non-medical).