디지털 이미지 상관법 기반 에어백 원단 인장 시험 분석 시스템 개발 및 검증

This study outlines the development and validation of a Digital Image Correlation (DIC) system designed to conduct tensile analysis on airbag fabrics. The proposed system combines a hardware setup using an industrial camera, lens, and polarizing filter to reduce optical noise, and a software platform built with the open-source library μDIC. A user-friendly GUI was implemented using PyQt5. The system employs a Global DIC algorithm to enable continuous displacement field extraction, supported by preprocessing and visualization tools. Tensile tests were conducted on airbag fabrics and aluminum specimens to evaluate system accuracy. When compared to a commercial DIC system, the proposed system demonstrated maximum strain differences of 0.11 % for airbag fabrics and 0.06 % for metal specimens. Furthermore, stress strain curves generated by the developed software showed strong agreement with conventional extensometers. These results confirm the potential of the proposed system for accurate mechanical property evaluation and its applicability across various materials.