A Breathing Phantom Station for Assessing Filter Clogging in Industrial Respirators

Abstract

This paper presents the development of a Breathing Phantom Station designed to evaluate filter clogging in industrial respirators under controlled conditions. The station simulates human breathing patterns, enabling precise measurement of filter performance and clogging dynamics over time. By integrating a proposed embedded breathing sensor into the phantom, the system provides quantitative data to assess respirator filters efficiency. During extensive tests, where the Breathing Phantom Station was filled with coal powder, the respirator filters were clogged until their maximum, proving that the proposed sensor can detect the clogging level in real-time. This innovative tool enhances testing accuracy, supporting improved workplace safety standards.Clinical Relevance- Improving respirator filter assessment accuracy, ensuring reliable protection against airborne hazards, and enhancing worker's safety and occupational health standards.