| KEYWORD |
Nemo
Tesi all'estero
Development of a neural network for Critical Heat Flux predictions
Tesi all'estero
Riferimenti NICOLA PEDRONI
Gruppi di ricerca Nemo
Descrizione - Title of the research
Development of a neural network for Critical Heat Flux predictions
(duration: around 6 months, starting period: can be discussed, but around September 2023)
- Context of the research
The Critical Heat Flux (CHF) is a physical phenomenon that may cause the deterioration of the heat transfer in the core of nuclear reactors, potentially leading to core damage. Its accurate prediction is therefore a crucial issue in nuclear reactor safety.
- Objectives of the research
The proposed thesis concerns the development of a neural network to predict the occurrence of the CHF. It will be realized in preparation of an international OECD/NEA project on the development and application of Artificial Intelligence methodologies for nuclear engineering.
- Work phases
Within this framework, the intern will:
*Perform a preliminary literature review on artificial intelligence methodologies.
*Analyze the available experimental CHF database to understand the physical phenomenon and to verify the coherence and exploitability of the experimental data.
*Develop a neural network to predict as accurately as possible the CHF. Different approaches (e.g. different split in training and validation database, number of neurons) will be tested to determine the optimal solution.
*Compare the performance of the newly developed neural networks against the existing models and identify the advantage/disadvantages associated to the usage of artificial intelligence.
*Present and discuss his/her work during technical meetings and write a final report.
POSSIBILITY OF INTERNSHIP (TO BE DISCUSSED, NOT MANDATORY)
- Internship/company description
The internship work will be conducted at the Department of Thermal-hydraulics and Fluid dynamics (STMF – Service de Thermohydraulique et de Mécanique de Fluide) within the Energy Division (DES - Direction des Énergies). The department develops and qualifies the simulation tools for the design and the safety analysis of the French nuclear power systems, such as the system thermal-hydraulic code CATHARE. These studies are performed within the framework of internal CEA projects or in collaboration with several industrial partners (e.g. EDF, Framatome and TechnicAtome) and international partners.
For further information, please contact:
Prof. Nicola Pedroni (nicola.pedroni@polito.it)
Vedi anche tesi_cea_ann_for_criticalheatflux - v2.pdf
Note (duration: around 6 months, starting period: can be discussed, but around September 2023)
Scadenza validita proposta 31/12/2024
PROPONI LA TUA CANDIDATURA