About MatchID
MatchID is a spin-off from the University of Leuven, Belgium, founded by a dedicated team of academics and specialists. Designed for both industry and academia, MatchID offers a powerful, flexible, and modular platform for full-field, highly accurate deformation measurements, supported by customised hardware, dedicated user training, and ongoing technical support. THIS-camera: Official UK & Ireland Partner
Digital Image Correlation
MatchID offers non-contact software (DIC & Grid) to retrieve mechanical and kinematical data at the surface of complex objects under any kind of loading.
Proprietary techniques combine both dense and spatial and temporal information, applicable from small to large scales.
This allows assessment and validation of the mechanical behaviour of both materials and structures.
Modular Structures
While the MatchID platform can be used simply as a measurement tool, it expands on this by seamless integrating the identification of mechanical properties and quantitatively validating numerical models based on the captured images.
The modular structure allows for a customised platform composition, 100% adapted to your specific application.
Advantages
The MatchID solution is a fully open and flexible engineering platform, invoking advanced algorithms that generate quantitative and accurate results with integrated error assessment.
Combined with a strong emphasis on documentation, user training and guidance, customised and integrated camera hardware, this allows the user to get the most profound insights into test results.
Test optimisation
Focused on tailored hardware and synchronisation.
Covering alignment, debugging, and speckle analysis.
Highlighting different testing types.
Emphasising real-time processing and feedback.
Key Features
Design of Experiments
Focusing on the systematic DIC approach.
Optimal Settings
Highlighting graph generation and parameter optimisation.
Signal Analysis
Detailed signal evolution tracking and noise dependency analysis.
Achieve quantified of finite element simulations with seamless alignment of FEA data throughout the complete DIC chain.
Our comprehensive error and validation mapping ensures accurate correlation between simulation and real-world testing results.
Uncertainty Assessment
Generation of reference synthetic images based on FEA with known values
Assessment of systematic DIC errors
Virtual test campaign creation for experiment optimisation
Best Practices
The Good Practices Guide (GPG) by the International Digital Image Correlation Society (iDICs) provides comprehensive guidance on DIC measurement setup, image correlation, and post-processing for strain computations under common laboratory conditions.
This resource serves dual purposes:
- Training document for new DIC practitioners (supplementing vendor training and technical documentation).
- Reference guide for experienced users to refresh fundamentals and troubleshoot measurements.
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