RESEARCH GROUP COMPUTED TOMOGRAPHY

UNIVERSITY OF APPLIED SCIENCES UPPER AUSTRIA - RESEARCH & DEVELOPMENT LTD.

Our Projects

The CT research group at the Wels Campus is working on different research projects in cooperation with various scientific research organisations and industrial partners.

Running research projects  

Acronym Project Name
MiCi Multimodal and in-situ characterization of inhomogenous materials
ADAM ADAM - Advanced Multimodal Data Analysis and Visualization of Composites based on Grating Interferometer Micro-CT Data - www.3dct.at/adam
FWF-FWO Quantitative X-ray tomography of advanced polymer composites
K-Project ZPT+ K-Project for Non-destructive Testing and Tomography Plus - www.nondestructive.at
ArthroKnee Interactive gonarthrosis data base for the three-dimensional microstructure, geometry, and biomechanics of the knee joint
Com3d-XCT Competence Center for High-Resolution 3D X-ray Imaging
MetAMMI Metrology for Additively Manufactured Medical Implants
INTERAQCT International Network for the Training of Early stage Researchers on Advanced Quality control by Computed Tomography - www.interaqct.eu

 

Multimodal and in-situ characterization of inhomogenous materials

MiCi: 01.01.2016 - 31.12.2021

Multimodal and non-destructive testing (NDT) methods are essential in order to characterize materials during their processing, e.g. during thermo-mechanical treatments, and to enable in-situ monitoring of the production process. In this project different NDT methods will be realized in a multimodal test rig. This enables the comparability of different NDT methods. In addition, a new high-resolution X-ray computed tomography system with in-situ stages will be acquired and used for the characterization and validation of NDT methods. Beneath experimental validations, resolution limits of the different NDT methods will be compared to theoretical limits. The experimental and theoretical approach will help to identify the best NDT methods for characterizing certain processes and to locate critical defects within the inspected materials.

Read more: MiCi

MetAMMI: Metrology for Additively Manufactured Medical Implants

Funding period: 1.06.16 - 30.05.19

The medical sector is set to benefit immensely from the rapidly expanding additive manufacturing (or 3D printing) industry, which has the capability to print a range of medical devices, such as prosthetics, dental implants and hearing aids, tailored to a specific patient.

While medical devices are subject to strict safety requirements, additive manufacturing technology has advanced at a much faster pace than the available standards and quality controls. The high roughness, complex geometries, and internal structures of additively manufactured medical devices make acquiring accurate data for quality control challenging.

Read more: MetAMMI

Com3d-XCT: Competence Center for High-Resolution 3D X-ray Imaging

Funding period: 1.10.16 - 30.09.19

interreg Austria Czech Republic EN RGB

Non-destructive testing (NDT) of components by means of microcomputed tomography (XCT) is an important task in many fields, e.g. in the automotive and aerospace sector. However, the demands towards NDT methods are continuously increasing due to the development of advanced, complex material systems. Accordingly, new multi-disciplinary NDT approaches have to be developed to approach the challenges in the in-depth 3D characterization of advanced materials.

Read more: Com3d-XCT

Quantitative X-ray tomography of advanced polymer composites

FWF-FWO: 01.04.2017 - 31.03.2020

Advanced composite materials (ACMs) typically contain two or more constituents, such as matrix, fibers, inclusions and pores, with different physical and chemical characteristics. When combined, they produce a material with unique properties in terms of weight, strength, stiffness, or corrosion resistance.

To inspect and study their 3D internal structure in a non-destructive way, the ACMs are imaged using X-ray computed tomography, in which a 3D dataset is reconstructed from the X-ray radiographs. The 3D dataset is subsequently further processed and analyzed in multiple sequential steps. This conventional workflow, however, suffers from inaccurate modeling and error propagation, which severely limits the accuracy with which ACM parameters of interest can be estimated.

Read more: FWF-FWO

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