PHD in INDUSTRIAL ENGINEERING
04.11.2018
Last Thursday, three members of the Quantum Electronics and Plasma Physics Research Group coordinated by Dr. Gaudio, defended their Ph.D. thesis in Industrial Engineering (XXX Cycle).
Dr. Jean-François Ciparisse opened the session with a thesis titled CFD simulations of industrial, civil and military non-conventional security events. The work deals with the use of CFD numerical simulations to predict the severity of those CBRNe events: LOVA in Tokamaks, dust explosion risks, chlorine spill and anthrax attack. Clinical models have been developed to relate the quantity of harmful agent absorbed to the effects on human health. For each scenario, measures to undertake in order to minimize the effects of such contingencies have been suggested.
Dr. Luigi Antonio Poggi defended the thesis Dust mobilization analysis in simulated accidents inside nuclear fusion reactors. He studied experimentally and numerically a LOVA in STARDUST-U facility, in order to reproduce the pressurisation transient that may occur in Tokamaks. He also studied, by means of particle image velocimetry techniques, the motion of dust inside STARDUST-U.
Dr. Michele Lungaroni discussed the thesis titled Advanced Statistics and Machine Learning Techniques for the Control of Macroscopic Instabilities in Thermonuclear Fusion Devices. In the framework of the PhD work he applied the advanced statistical techniques and machine learning tools to various aspects of controlled magnetic fusion experiments. The analysis of fusion data deals mainly with the causes of instabilities within the plasmas. In particular, three types of instability have been studied: ELMs, Sawteeth and Disruptions. For each instability, prediction or causality detection techniques have been applied.
All three candidates obtained full marks with honours.
The Quantum Electronics and Plasma Physics Research Group and the whole Staff of CBRNe Master Courses are proud of this important goal and would like to express them sincere congratulations.