Projects funded by the NCN
Introduction of machine learning algorithms to the prediction of in-flight feedstock thermophysical properties during suspension plasma spraying
2023/49/N/ST8/03903
Keywords:
suspension plasma spraying machine learning computational fluid dynamics design of experiment
Descriptors:
- ST8_3: Computational engineering, computer-aided modelling, design and manufacturing
- ST8_7: Machine design (modelling, shaping, machining)
- ST6_11: Machine learning, statistical data processing and applications using signal processing (e.g. speech, image, video)
Panel:
ST8 - Production and processes engineering: modelling, product design, process design and control, construction methods and engineering, power units and systems
Host institution :
Politechnika Wrocławska
woj. dolnośląskie
Principal investigator (from the host institution):
Number of co-investigators in the project: 2
Call: PRELUDIUM 22 - announced on 2023-03-16
Amount awarded: 196 176 PLN
Project start date (Y-m-d): 2024-01-03
Project end date (Y-m-d): 2027-01-02
Project duration:: 36 months (the same as in the proposal)
Project status: Pending project
Project description
Download the project description in a pdf file
Note - project descriptions were prepared by the authors of the applications themselves and placed in the system in an unchanged form.