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
|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 - 12/2022
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.