Open-source Stereo Digital Image Correlation Optimized for Large Deformation Soft Materials Testing: Development and Validation

Authors

Presenter(s)

Joseph G. Beckett

Comments

Presentation: 10:20 a.m.-10:40 a.m., Kennedy Union 222

Files

Description

Stereo digital image correlation (DIC) is an optical measurement technique capable of producing contour plots of 3D deformations. These rich measurement capabilities – namely, the ability to capture local shape and volume changes in specimens undergoing complex 3D deformations during mechanical testing – make DIC a compelling research tool for characterizing the mechanical properties of numerous classes of materials. Soft materials, which typically exhibit large strains at fracture, present several major challenges to DIC measurements including pattern breakdown, saturated image regions from glare, and large fields of view. In this research, a DIC system is designed to overcome these obstacles in a cost-effective manner using commercially available equipment and Digital Image Correlation Engine (DICe) open-source processing software. High-aspect-ratio image sensors, cross polarization, and custom DIC patterning stamps are utilized to improve DIC imaging quality for soft materials testing. The system’s extensive validation is discussed to demonstrate the system’s ability to yield repeatable and accurate data and to identify current limitations of the system.

Publication Date

4-20-2022

Project Designation

Honors Thesis

Primary Advisor

Robert L. Lowe

Primary Advisor's Department

Mechanical and Aerospace Engineering

Keywords

Stander Symposium project, School of Engineering

United Nations Sustainable Development Goals

Industry, Innovation, and Infrastructure

Recommended Citation

"Open-source Stereo Digital Image Correlation Optimized for Large Deformation Soft Materials Testing: Development and Validation" (2022). Stander Symposium Projects. 2742.
https://ecommons.udayton.edu/stander_posters/2742