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
BeyondInspection Digitization platform for the predictive evaluation of aerospace components by multimodal multiscalar inspection
ImageHeadstart Ground-breaking computer-vision-applications in the micro-world - consortium of research organisations for industry 4.0
MiCi Multimodal and in-situ characterization of inhomogenous materials
Phad-CT Quantitative phase- and dark field contrast computed tomography for industrial applications on lightweight construction material
PSSP Photonic Sensing for Smarter Processes
SpaceNDT Advanced Non-Destructive Testing Techniques for Damage Characterization of Space Materials and Components
xCTing Enabling X-ray CT based Industry 4.0 process chains by training next generation research experts
X-Pro Study and design of user-centered methods for cross-virtuality analytics of production data

Digitization platform for the predictive evaluation of aerospace components by multimodal multiscalar inspection

BeyondInspection: 12/2019 - 11/2022

For aeronautic applications, aside zero-defect manufacturing, also (almost) lot-size-one production is an important feature of the associated manufacturing, testing and simulation processes. The evaluation of the complex mode of impact of the micro- and mesostructure of manufacturing effects and the interrelationships on the mechanical properties of new highly integrated (sub)components represents a major challenge.Increasing the competitiveness of Austrian production sites is essential and can only be achieved by significantly reducing non-quality costs and production costs with constant or increasing component quality.

Multimodal and in-situ characterization of inhomogenous materials

MiCi: 01/2016 - 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.

Photonic Sensing for Smarter Processes

K-Project PSSP: 09/2018 - 08/2022 

The aim of the K project PSSP is to generate process knowledge with photonic methods which did not exist in this way before. The efficiency of production processes shall be significantly improved with these methods. Through specific research and development photonic methods can be applied before, but also directly in the production line. With the gained knowledge the process parameters, material and resources can be optimized.

Enabling X-ray CT based Industry 4.0 process chains by training next generation research experts

xCTing: 03/2021 - 02/2025

First-time-right and zero-defect manufacturing of customized lot-size-one products are essential elements of the Industry 4.0 paradigm shift to reinforce Europe’s global leadership in manufacturing. X-ray Computed Tomography (CT) metrology has a key role to play in this transition, since it is the only known technology that can certify non-destructively the quality of internal complex structures, such as those produced by additive manufacturing or found in assemblies.
However, CT largely remains an off-line technology, due to the unsolved trade-off between scan speed and scan quality, and the need for extensive expert user input. xCTing will therefore focus on significantly increasing autonomy, robustness and speed in CT metrology in order to support its transition towards a fully in-line quality assurance technology as required in Industry 4.0 environments. Meeting these challenges requires the integration of a broad range of interdisciplinary expertise, including physics, manufacturing, dimensional metrology, machine learning, as well as efficient and reliable big data analytics and visualization.

Study and design of user-centered methods for cross-virtuality analytics of production data

X-Pro: 01/2020 - 12/2024

The research project "Research and development of user-centered methods for cross-virtuality analytics of production data", in short X-PRO, aims to achieve a completely new quality of human-computer interaction in the interactive visual analysis of large amounts of data from the production environment. These methods include both new types of visualization and interaction techniques as well as new methods for algorithmic data preparation, analysis and modeling. By combining and integrating them, a new type of interactive visual analysis of data is created, which we call "Cross-Virtuality Analytics". The research project involves the FH OÖ locations Hagenberg, Steyr and Wels.

Proceed to read about the research group's completed projects...

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.

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.

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.

ADAM - Advanced Multimodal Data Analysis and Visualization of Composites based on Grating Interferometer Micro-CT Data

ADAM project duration: 01.03.2016 - 28.02.2019

Within recent years, the need for new, cost-effective, function-oriented, highly integrated, and light-weight components has strongly grown in many high-tech industries such as aerospace, automotive, marine, and construction. The drivers behind this trend are mainly found in the rising application demands regarding efficiency, safety, environment, and comfort. Among desired functional and -mechanical properties, the requirements on new materials and components include high strength, elasticity, durability, energy efficiency, and light weight. Unlike conventional materials such as aluminum, steel, or alloys, fiber-reinforced polymers (FRPs) – composites made of a polymer matrix reinforced with carbon, glass, or other type of fibers – fulfill these requirements to a high extent. To design new materials and components, detailed investigations and characterizations of FRP materials are vital. In industrial settings, FRP components and materials are nondestructively tested, e.g., by visual inspection, tapping, or ultrasonic inspection. However, conventional methods are increasingly facing their limits regarding accuracy, level-of-detail, and inspection time. To overcome these limitations, industrial 3D X-ray computed tomography (XCT) has received much attention in quality control due to its high spatial resolution and ability to precisely capture external and internal structures in one scan. Compared to other non-destructive testing methods for FRPs, XCT is yet the only method capable of delivering full 3D information for detailed inspection and quality control.