Presentation
From Scan to Fit: A Parametric workflow for Custom-fit Mask Generation
DescriptionThis study presents a novel workflow integrating 3D scanning, parametric design, and hybrid fabrication methods to develop custom-fit medical masks tailored to individual facial profiles. Addressing discomfort and poor fit associated with standardized-size medical masks, the proposed approach in this study uses 7 facial landmarks from 3D scanned data to generate mask models through a parametric system built in Rhinoceros and Grasshopper software. Mask prototypes were fabricated with 5mm EVA foam frames and multi-layered polypropylene filters, simulating N95 performances. Fit tests conducted with participants demonstrated that the custom-fit masks outperformed traditional N95 masks in fit and comfort across 7 indicators. By validating the workflow through digital modeling and physical prototyping, this research offers a scalable and flexible method for improving mask ergonomics and wearing experience. The study highlights the potential of custom-fit design solutions to enhance the health and well-being of medical mask users, contributing to broader applications in healthcare wearables and inclusive design.
Event Type
Case Study
Industry/Practitioner Content
Lecture
TimeTuesday, October 14th1:50pm - 2:10pm CDT
LocationGrand Hall I
System Development