Eventos Anais de eventos
COBEM 2023
27th International Congress of Mechanical Engineering
Strain analysis of specimens subject to tensile test using open-source Digital Image Correlation Systems
Submission Author:
Antônio Maia , MG
Co-Authors:
Guilherme Ramiro, Nathália Mello Mascarenhas Paixão, ALEXANDRE SCARI, Almir Silva Neto, Lázaro Donadon, Antonio Avila, Antônio Maia
Presenter: Guilherme Ramiro
doi://10.26678/ABCM.COBEM2023.COB2023-0884
Abstract
During component sizing, it is essential knowledge of the maximum strain that the material can bear to determine its suitability for the intended application. The maximum strain is typically determined from standardized mechanical tests, and strain gauges are generally used to establish this parameter. Since the use of strain gauges require contact with the specimen, the placement of the extensometer and test conditions need to be carefully prepared to ensure correct and accurate measurements. An alternative method that has been explored in deformation analysis is Digital Image Correlation (DIC), which is a technique that analyzes the global deformation without contact with the specimen and involves simpler procedures than those required in strain gauge measurements. There are currently some open-source and freely accessible Digital Image Correlation solutions available for use. However, the documentation for these applications often lacks validation data that demonstrates the reliability of the measurements. Under these conditions, the results produced by these systems have reduced credibility, making their use unsuitable for deformation measurement, particularly in mechanical testing performed in research laboratories. In this context, this work aims to evaluate some open-source and freely accessible Digital Image Correlation applications. The purpose is to investigate the ability of these systems to accurately determine the deformation of specimens ASTM D 638, subjected to tensile testing. The results obtained using the Digital Image Correlation applications will be compared with those achieved using extensometers to evaluate the accuracy of the measurements. In addition, the available subsystems, including image acquisition modules, image calibration, and post-processing of data for result analysis, will also be evaluated. As a result of this work, it is expected to be possible to identify the best free and open-source alternatives of Digital Image Correlation systems for academic use in terms of result reliability, quality of the included subsystems, and usability.
Keywords
Digital Image Correlation (DIC), Strain measurement, non-contact measurement, Digital measurement
