Department of Nuclear Engineering
Polytechnic of Milan
What is done and what could be done
2
Politecnico di Milano
Dipartimento di Ingegneria Nucleare
Ce.S.N.E.F.
Centro Studi Nucleari Enrico Fermi
• Laurea Magistralis in Nuclear Engineering
• PhD in Radiation Science and Technology
Dipartimento
Ingegneria
Nucleare
Department of Nuclear Engineering, Polytechnic of Milan, Italy
3
PhD in Radiation Science and Technology
180
credits
10 Preparatory
40 Base
15 Specialized
115 Thesis project
Department of Nuclear Engineering, Polytechnic of Milan, Italy
4
Departmental Base Courses
Numerical, computational, simulation
methods for nuclear engineering
Particle, fluid, state transport for
applications to nuclear engineering
Advanced materials: synthesis and
characterization using radiation
Electromagnetic radiation
Semiconductor radiation detectors
Advanced detection systems and
radioprotection
Department of Nuclear Engineering, Polytechnic of Milan, Italy
5
Department Research
Dipartimento
Ingegneria
Nucleare
Department of Nuclear Engineering, Polytechnic of Milan, Italy
6
Radiation Science
Dipartimento
Ingegneria
Nucleare
Department of Nuclear Engineering, Polytechnic of Milan, Italy
Radiation Detectors
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Electronics
Measurement Instrumentation for
Advanced Technology
Si K α
S Kα
2.3 keV
Ca K α
3.7 keV
Mn K α
5.9 keV
1.7 keV
Al Kα
Cl Ag
1.5 keV
Ti
Energy
Non-Destructive Analysis
of Art Pieces
Dipartimento
Ingegneria
Nucleare
Department of Nuclear Engineering, Polytechnic of Milan, Italy
Composition analysis of
materials, rocks, atmospheric
particulate, etc.
8
Radiation field design for medical applications
National Center for Adro-Therapy Oncology
Dipartimento
Ingegneria
Nucleare
Department of Nuclear Engineering, Polytechnic of Milan, Italy
.
Treatment by ionizing radiation
Sterilization
Polimeric lattice construction
Food irradiation
Dipartimento
Ingegneria
Nucleare
Department of Nuclear Engineering, Polytechnic of Milan, Italy
9
10
Micro- and Nano-structured Materials
Oriented
carbon
nano-tubes
Design, construction and analysis of nanostructures through assembling of atomic clusters
and nano-tubes
Design and analysis of thin films
Laser light scattering and atomic
microscopy
Laser light
scattering for the
study of surfaces
in nanostructures
Soft Matter
Design and Synthesis of polimer films from colloidal phases
Protein study
X-ray diffraction
Laser light scattering
Dipartimento
Ingegneria
Nucleare
Department of Nuclear Engineering, Polytechnic of Milan, Italy
PTFE ( Teflon )
film formation
.
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Nuclear Systems
Dipartimento
Ingegneria
Nucleare
Department of Nuclear Engineering, Polytechnic of Milan, Italy
12
Computational methods for safety, reliability,
diagnostic analysis of complex systems
Monte Carlo Methods
Neural Networks
Genetic Algorithms
Fuzzy Logic Systems
Cellular Automata
Dipartimento
Ingegneria
Nucleare
Department of Nuclear Engineering, Polytechnic of Milan, Italy
Advanced Nuclear Reactors (earth and
space)
Il Dipartimento di Ing. Nucleare con 18 partners (aziende,
università, centri di ricerca, elettroproduttori) di 9 paesi
Department of Nuclear Engineering, Polytechnic of Milan, Italy
.
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14
Radioactive Contaminant Transport Modelling and
Experimentation
Nuclear Waste Deposits
Monte Carlo Simulation
Department of Nuclear Engineering, Polytechnic of Milan, Italy
15
WHERE
Dipartimento di Ingegneria Nucleare
Ce.S.N.E.F.
Via Ponzio, 34/3
20133 Milano
Secretary:
Tel: 0039 02-23 99 63 36
Fax: 0039 02 - 23 99 63 09
E.mail: [email protected]
http://www.cesnef.polimi.it
Dipartimento
Ingegneria
Nucleare
Department of Nuclear Engineering, Polytechnic of Milan, Italy
.
http://lasar.cesnef.polimi.it
LABORATORIO DI ANALISI DI SEGNALE ED ANALISI DI RISCHIO
NUCLEAR PLANTS
SAFETY
RELIABILITY
METHODS
MC,CA
ANN,GA,FL
LASAR
FAULT
DIAGNOSIS
MODELLING
CONTAMINANT
EXPERIMENTAL
REACTOR PHYSICS
MC=Monte Carlo; CA=Cellular Automata; ANN=Artificial Neural
Networks;
GA=Genetic Algorithms; FL= Fuzzy Logic
Genetic Algorithms and Fuzzy Logic
(Valencia 2006)
Department of Nuclear Engineering, Polytechnic of Milan, Italy
17
Genetic Algorithms and Fuzzy Logic
(Valencia 2006)
Fault diagnosis: basic concepts
Genetic algorithms: basic concepts
Fuzzy logic: basic concepts
Selecting features for fault diagnostics:
1.
2.
3.
4.
Search engines: Complete, Heuristic, Probabilistic (Genetic
Algorithms)
Evaluation functions: Filters, Wrappers (Fuzzy k-nearest
neighbours)
Applications: feature selection for transients classification
Fuzzy logic for fault detection
Fuzzy clustering for fault classification:
5.
6.
Clustering: Hard C-Means, Fuzzy C-Means, Possibilistic
Clustering for pattern classification
Evolutionary fuzzy and possibilistic clustering
Application: fuzzy and possibilistic clustering for fault
classification
Department of Nuclear Engineering, Polytechnic of Milan, Italy
18
GENETIC ALGORITHMS FOR
SYSTEM OPTIMIZATION
Place: Department of Nuclear Engineering, Polytechnic of Milano, Italy
Dates: 2-13 October 2006, 14.00-18.30
The course will introduce the students to the concepts
underlying genetic algorithm optimization with
applications to system engineering, to parameter
estimation and to feature selection for diagnostics.
The course is worth 8 credits of the PhD programme in
Radiation Science and Technology of the Politecnico di
Milano.
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Other possibilities (2007)
Introduction to Soft Computing Methods in
Engineering: Neural Networks, Fuzzy Logic
and Genetic Algorithms (UPV, 2007)
Monte Carlo Methods for Reliability and
Safety
Probabilistic Risk Assessment (with UPV)
Department of Nuclear Engineering, Polytechnic of Milan, Italy