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Research Topic : imaging
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  • Active Funded Activity

    Discovery Projects - Grant ID: DP170102324

    Funder
    Australian Research Council
    Funding Amount
    $381,000.00
    Summary
    Bragg-Edge neutron transmission strain tomography. This project aims to use neutron strain tomography to improve solid mechanics research and advanced manufacturing techniques. The investigators have developed a tensor reconstruction algorithm, similar to an enhanced CT or MRI scan, which can determine the finely grained three-dimensional triaxial stress distribution inside solid objects by measuring neutron transmission. Using energy-resolved neutron detector technology, this project intends to .... Bragg-Edge neutron transmission strain tomography. This project aims to use neutron strain tomography to improve solid mechanics research and advanced manufacturing techniques. The investigators have developed a tensor reconstruction algorithm, similar to an enhanced CT or MRI scan, which can determine the finely grained three-dimensional triaxial stress distribution inside solid objects by measuring neutron transmission. Using energy-resolved neutron detector technology, this project intends to realise and extend this technique to transform several areas of applied mechanics research.
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    Active Funded Activity

    Discovery Projects - Grant ID: DP200103548

    Funder
    Australian Research Council
    Funding Amount
    $448,000.00
    Summary
    A spatio-temporal partitioning approach to colloidal flows in porous media. This project aims to develop an efficient multi-scale laboratory-based modelling framework for colloidal suspensions flow in porous media by utilizing recent advances in 3D/4D image-based geometrical/topological analysis. Regional partitioning techniques based on local structural measures are used to observe the penetration/retention of colloids into identified zones. Zone-dependent colloid interaction probabilities for .... A spatio-temporal partitioning approach to colloidal flows in porous media. This project aims to develop an efficient multi-scale laboratory-based modelling framework for colloidal suspensions flow in porous media by utilizing recent advances in 3D/4D image-based geometrical/topological analysis. Regional partitioning techniques based on local structural measures are used to observe the penetration/retention of colloids into identified zones. Zone-dependent colloid interaction probabilities for computational modelling are derived from fundamental relationships. Expected outcomes of this project include a full-scale modelling capability for heterogeneous samples validated by experiment and the extraction of robust model coefficients for newly developed theory for colloid-suspension transport through porous media.
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