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Project

MoCCHa-CT: Model-coupled 4D-uCT for advanced material characterisation (MoCCHa-CT)

High-resolution X-ray Computed tomography (X-ray CT) is becoming a key imaging technique. It allows for highly detailed and full 3D structural characterization of objects and materials. As such, it is an invaluable tool in present-day material research, product development and quality assessment.

However, the conversion of ìCT data to analytical or finite element models that allow for the simulation of dynamic processes is currently limited by two major constraints: the limited spatial resolution that can be achieved, related to the sample size, and the limited capabilities of providing information about dynamic processes that occur inside objects.

In this project, we will develop X-ray imaging tools that will improve the state-of-the-art capabilities for model extraction:

- Grating-based X-ray dark-field imaging using a novel dual-phase grating setup will provide information about features below the resolution attainable with conventional attenuation-based imaging.

- An intensive coupling between digital volume correlation and tomographic reconstruction of dynamic microCT (4D-microCT) will increase the spatio-temporal resolution of 4D-microCT, allowing to maximally exploit all available data

We will use these tools to derive and verify structural and dynamic models for three different classes of materials: mineral building materials, composite materials and woodbased panels. Furthermore, these models will be used to improve the accuracy and reliability of the ìCT reconstruction.

With these new developments in extraction and experimental validation of material models, materials scientists within and beyond the three aforementioned material classes will be able to develop better and more sustainable materials.

Date:1 Jan 2018  →  Today
Keywords:characterisation, model-coupled, micro-CT
Disciplines:Image processing, Composites and hybrid materials not elsewhere classified, Construction materials, Computational materials science, Destructive and non-destructive testing of materials, Data visualisation and imaging