Traditional methods for measuring material deformation often require direct contact with the object, which can influence the measurement and limit application in certain environments or with delicate materials. Analyzing the mechanical properties of materials under various loads can be time-consuming and require specialized expertise. Validating numerical models with experimental data is crucial but can be a complex and error-prone process.

MatchID provides non-contact imaging systems utilizing Digital Image Correlation (DIC) and Grid methods to capture mechanical and kinematical data from the surface of objects under load. These systems combine dense spatial and temporal information, applicable across scales, to assess and validate the local mechanical behavior of materials and structures. The platform seamlessly integrates the identification of mechanical properties and quantitatively validates numerical models based on captured images, offering a modular structure that can be customized. By employing advanced algorithms, MatchID delivers quantitative and accurate results with integrated error assessment, complemented by documentation, user training, and customized hardware integration.

Non-contact imaging systems using DIC & Grid methods for full-field deformation measurement

Modular software structure allowing customized platform composition

Integrated Virtual Fields Method (VFM) for material identification

Finite Element (FE) validation module for point-to-point comparison between simulation and test data

Real-time DIC and feedback for external control

Performance Analysis module for optimizing DIC user settings

App Store for custom application development and sharing

The primary audience includes engineers, researchers, and quality control professionals in industries such as automotive, aerospace, and manufacturing who require precise material property analysis and model validation.