Many DIC-platforms generate coloured images to mark changes such as strains in materials. Mostly operating by the black-box principle, the results show you WHAT is happening in your experiment.
But the more important question to answer is WHY deformations are happening and HOW. If you get insight into result creation, rather than testing presumptions, you take Digital Image Correlation (DIC) to a next level.
Created at university of Leuven to get profound insights into DIC
In 2008, the University of Leuven, Belgium, started developing an open, holistic DIC-platform. Their aim: to get a profound insight into the measurement capabilities and uncertainties of DIC and how these transfer towards material identification and model validation.
Since then, this application has been implemented and proof-validated by over 200 academic institutions worldwide.
Moreover, joining forces with one of the co-inventors of the VFM (Virtual Fields Method) enabled us to incorporate this material identification technique directly in our software portfolio.
Bridging the gap with simulations
By structurally embedding VFM, MatchID goes well beyond DIC by offering material identification and characterization tools.
These parameters then serve as a basis for Finite Element modeling (FEA),leading to a universal challenge in engineering: validation of simulations.
MatchID has developed an FE validation module that creates a full-field, point-to-point relation between simulation (FE model) and test (DIC result). This module thus allows for structural validations of simulations.
Learning from academics and engineers all around the world
We found out that MatchID is as much a software platform as it is a community of engineers and scientists, finding ways to optimise research experiments. Our customers show us the way to keep pioneering and keep pushing DIC forward.