Abstract
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.
| Translated title of the contribution | Development and Validation of a Digital Image Correlation-Based Tensile Testing System for Airbag Fabrics |
|---|---|
| Original language | Korean |
| Pages (from-to) | 33-41 |
| Number of pages | 9 |
| Journal | Transactions of the Korean Society of Automotive Engineers |
| Volume | 34 |
| Issue number | 1 |
| DOIs | |
| State | Published - 1 Jan 2026 |
Keywords
- Airbag
- Digital image correlation
- Displacement field
- Strain field
- Tensile test
- Video extensometer
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