JOB DESCRIPTION

This project offers agile creative working, and brings engineering science closer to societal impact in the field of additive manufacturing.
Additive Manufacturing (AM) or 3D printing technology (3DP) is fundamentally transforming manufacturing processes in various industries. However, the risks associated with less than ideal printing conditions pose challenges for ensuring the safe quality of AM parts and affect their strength and consistency. This project is part of a Dutch Research Council (NWO) Open Technology project with University of Groningen and University of Queen Mary in London, UK. At TU Delft, we aim to develop an advanced vibrational Non-Destructive Testing (NDT) methodology for quality assurance in metal AM.
In this PhD, you will develop advanced AI algorithms along with vibrational Non-Destructive Testing (NDT) methodology for the certification of metal AM. We hypothesise that modal analysis can be correlated to both part integrity and identification of defect type and location within arbritary complex shapes. You will develop digital twins and insitu modal analysis measurements during 3D printing of metallic objects using powder bed fusion technologies. We expect to gain insights that improve AM variability for safer application of metal AM technology.

REQUIREMENTS

• You hold a master’s degree in a natural sciences or engineering discipline, with your thesis preferably focused on Vibration measurement and data analysis, AI, physics-informed AI, or a related discipline.
• You are creative and proficient in programming.
• You enjoy pioneering new ideas, linking results with physical experiments and thrive in an interactive, collaborative research environment.
• You have good English communication skills and a strong drive for academic excellence.

Please refer the Job description for details