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Abstract

This 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 seven facial landmarks from 3D scans to generate mask models through a parametric system in Rhinoceros and Grasshopper software. Mask prototypes were fabricated with 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 seven 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 and inclusive design.

Keywords

custom fit design parametric design PPE mask fit wearable design anthropometric 3D scanning healthcare

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From Scan to Fit: A Parametric Workflow for Custom-Fit Mask Generation

Abstract

Keywords

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