FlexCT | Flexible and open-source tool for accurate reconstruction using industrial X-ray computed tomography

Summary
Our ability to achieve breakthroughs in manufacturing is dependent on our capacity to measure the features that define these breakthroughs. In other words, we can manufacture only as well as we can measure. Recent trends indicate that the future of mass production is in additive manufacturing (AM). X-ray computed tomography (CT) is the optimal solution for quantitative inspection of AM products as it is currently the only technology that can perform non-destructive measurements of both internal and external features. However, the reliability of CT measurements is not yet established and the application of CT for product inspection is limited to qualitative tasks. FlexCT is a multi-disciplinary research project that answers the imminent need to bring CT to measurement maturity to keep the pace with the improvements and wider adoption of AM. The fields of dimensional metrology, software engineering, and manufacturing are combined to produce an effective and open solution for the decisive adoption of CT to inspection of AM and other high-value products.
The candidate’s research experience is overwhelmingly in the field of dimensional metrology. Materialise and UAntwerp’s Vision Lab are selected strategically to ensure the successful execution of the project and to provide the candidate with exposure and training in new disciplines and work environments. Materialise is one of the world’s leading companies in AM technology and is proposed as the host institution for this project. The candidate’s exposure to and feedback from a manufacturer will allow the proposed solution to be optimized for the needs of the end-user. The secondment and collaboration with UAntwerp’s Vision Lab provides knowledge and support for tomographic reconstruction algorithms and software engineering. Dedicated training in additive manufacturing, software engineering, and leadership skills will help the candidate achieve his career goal of becoming an independent principal research scientist.
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More information & hyperlinks
Web resources: https://cordis.europa.eu/project/id/752672
Start date: 01-12-2017
End date: 17-12-2019
Total budget - Public funding: 160 800,00 Euro - 160 800,00 Euro
Cordis data

Original description

Our ability to achieve breakthroughs in manufacturing is dependent on our capacity to measure the features that define these breakthroughs. In other words, we can manufacture only as well as we can measure. Recent trends indicate that the future of mass production is in additive manufacturing (AM). X-ray computed tomography (CT) is the optimal solution for quantitative inspection of AM products as it is currently the only technology that can perform non-destructive measurements of both internal and external features. However, the reliability of CT measurements is not yet established and the application of CT for product inspection is limited to qualitative tasks. FlexCT is a multi-disciplinary research project that answers the imminent need to bring CT to measurement maturity to keep the pace with the improvements and wider adoption of AM. The fields of dimensional metrology, software engineering, and manufacturing are combined to produce an effective and open solution for the decisive adoption of CT to inspection of AM and other high-value products.
The candidate’s research experience is overwhelmingly in the field of dimensional metrology. Materialise and UAntwerp’s Vision Lab are selected strategically to ensure the successful execution of the project and to provide the candidate with exposure and training in new disciplines and work environments. Materialise is one of the world’s leading companies in AM technology and is proposed as the host institution for this project. The candidate’s exposure to and feedback from a manufacturer will allow the proposed solution to be optimized for the needs of the end-user. The secondment and collaboration with UAntwerp’s Vision Lab provides knowledge and support for tomographic reconstruction algorithms and software engineering. Dedicated training in additive manufacturing, software engineering, and leadership skills will help the candidate achieve his career goal of becoming an independent principal research scientist.

Status

TERMINATED

Call topic

MSCA-IF-2016

Update Date

28-04-2024
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Horizon 2020
H2020-EU.1. EXCELLENT SCIENCE
H2020-EU.1.3. EXCELLENT SCIENCE - Marie Skłodowska-Curie Actions (MSCA)
H2020-EU.1.3.2. Nurturing excellence by means of cross-border and cross-sector mobility
H2020-MSCA-IF-2016
MSCA-IF-2016