Development of XCT for measurements of batched products

at  KU Leuven

Development of XCT for measurements of batched products
(ref. BAP-2024-612)
Laatst aangepast: 24/09/24
The Manufacturing Metrology research group of the KU Leuven Department of Mechanical Engineering investigates, develops, optimises and implements measurement solutions for manufacturing quality control. Our expertise covers surface and 3D coordinate metrology using tactile and optical probes as well as X-ray Computed Tomography (XCT). We target Industry 4.0 readiness of measurement solutions by increasing speed, reducing measurement errors, and establishing traceability to realise in-line and in-process capabilities that intelligently feedback inspection results for first-time-right and zero-waste manufacturing. We put our expertise and state-of-the-art equipment at the disposal of manufacturing companies to address complex metrology challenges and to improve manufacturing process understanding and performance.
Website van de eenheid
Project
X-ray computed tomography (XCT) is a non-destructive volumetric imaging technology that can image both external and internal structures of parts. The technology has been increasingly used for industrial applications. However, the cost and time consumed to conduct XCT scans are significant for industrial use in the uptake of the technology. Hence, most XCTs are used for research rather than for production purposes.
Recent developments have shown the potential to significantly reduce scan costs by scanning a large quantity of objects together. However, the lack of guidance on setting up a measurement for such unique tasks and the unknown impact of systematic influence factors and errors are significant challenges. The proposed project, by determining the primary factors that influence the optimisation of instrument performance and quantifying their uncertainty contribution, is expected to not only overcome these challenges but also develop practical guidance that could have a profound impact on critical industrial applications.
Profile

It is desired if the candidate:

• Holds a Master’s degree in either Mechanical Engineering, Mathematics, Physics or the equivalent.
• Has a scientific curiosity and interest in research.
• Has strong problem-solving skills.
• Has the necessary skills to design and implement experiments, undertake computational tasks, and analyse measurement results.
• Has adequate English communication skills and can present results competently and comprehensively in research team meetings, conferences and peer-reviewed journal papers.
• Is flexible and has good time management skills.
• Can work independently and have good interactions with the co/supervisors and peers.
• Frequently report the progress of the conducted research to the co/supervisors.
• Is willing to help organise workshops and other events.
• Is willing to engage in teaching assignments.
• Is willing to travel nationally or internationally to visit collaborators or to conduct work.

Offer
The opportunity to pursue a PhD degree that is fully supported for 4 years.
Other working conditions can be found at https://www.kuleuven.be/personeel/jobsite/en/phd/phd-information
Interested?
For more information please contact Prof. dr. Wenjuan Sun, tel.: +32 16 32 94 37, mail: wenjuan.sun@kuleuven.be.
You can apply for this job no later than Nov 28, 2024. However, a decision is expected as soon as a suitable candidate is found, so do not wait until the end date.

The applicant should provide the following information when apply:

• An academic CV
• Master degree (Master specification, University + Country, Year obtained) Master thesis (Title, Year, Supervisor), grades
• A statement(maximum one page) explaining the motivation for applying for this PhD position.
• Two academic references

You can apply for this job no later than November 28, 2024 via the online application tool
KU Leuven strives for an inclusive, respectful and socially safe environment. We embrace diversity among individuals and groups as an asset. Open dialogue and differences in perspective are essential for an ambitious research and educational environment. In our commitment to equal opportunity, we recognize the consequences of historical inequalities. We do not accept any form of discrimination based on, but not limited to, gender identity and expression, sexual orientation, age, ethnic or national background, skin colour, religious and philosophical diversity, neurodivergence, employment disability, health, or socioeconomic status. For questions about accessibility or support offered, we are happy to assist you at this email address.
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Tewerkstellingspercentage: Voltijds
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Locatie : Leuven
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