Improved control of the AM process by in-process monitoring and feedback - Belgium
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- Many laser-based additive manufacturing processes are not yet robust enough for applications in high-end markets such as aerospace, automotive or medical and to prevent defective components to be produced.
- Process consistency is lacking. Effective in-line process control and monitoring methods are needed to increase the robustness of the AM technology.
- In-process monitoring and quality control have been, for several years already, important research topics for the AM group of our university.
- Interesting patents were filed and unique hardware has already been developed.
- The story however is not yet finished.
- To go to a truly robust process, we need to know how to interpret the monitoring signals and images and to implement this knowledge in a feedback loop.
- This means
- linking real-time monitoring data with defects (pores, cracks,..) seen afterwards by X-ray CT and/or TEM/SEM on the finished part;
- investigating methods to avoid the formation of in-process pores or cracks; and
- developing algorithms to use the monitoring information for real-time control of the AM process based on the best method found in (2), thus ensuring the structural integrity (no pores, cracks) of the fabricated part. So, clearly many challenges are remaining for a doctoral researcher that is interested in both the laser-based melting process and the monitoring and control soft- and hardware.
- Early-Stage Researchers (ESRs) shall, at the time of recruitment by the host organisation, be in the first four years (full-time equivalent research experience) of their research careers and have not been awarded a doctoral degree.
- Mobility Rule: at the time of recruitment by the host organisation, researchers must not have resided or carried out their main activity (work, studies, etc.) in the country of their host organisation for more than 12 months in the 3 years immediately before the reference date.
- Compulsory national service and/or short stays such as holidays are not taken into account. Researchers can be of any nationality.
- a master's degree in mechanical engineering or the like
- good grades (at least one time ‘distinction’ in master or bachelor degree)
- good English communication skills (oral and written; minimum score of 79-80 on the TOEFL iBT test)
- open character, good team player
- expertise in AM, lasers, imagers, sensors, control software, PXI systems, FPGA and/or labview is a plus, but not necessary