Paolo Bettini

Prof. Paolo Bettini

Department of Industrial Engineering, University of Padova, Padua, Italy
orcid

Research Focus & Metrics

Academic Career Length

31Years (1996-Present)

(Calculated once Scilit publication data is synced: current year − year of first publication + 1)

Representative Publications

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12 December 2016 in Journal of Materials Engineering and Performance
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Journal Article
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PBPaolo Bettini
Paolo Bettini
GAGianluca Alitta
Gianluca Alitta
GSGiuseppe Sala
Giuseppe Sala
LLLuca Di Landro
Luca Di Landro

1 March 2010 in Composites Part B: Engineering
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Journal Article
Closed access
PBPaolo Bettini
Paolo Bettini
ALESSANDRO AIROLDIALESSANDRO AIROLDI
ALESSANDRO AIROLDI
GSGiuseppe Sala
Giuseppe Sala
LLLuca Di landro
Luca Di landro
MRMassimo Ruzzene
Massimo Ruzzene
ASAlessandro Spadoni
Alessandro Spadoni

13 February 2024 in Composites Part B: Engineering
Verified
Journal Article
Closed access
FSFrancesca Spini
Francesca Spini
PBPaolo Bettini
Paolo Bettini

12 September 2022 in IEEE Access
Verified
Journal Article
Open access
Francesco LucchiniFrancesco Lucchini
Francesco Lucchini
RTRiccardo Torchio
Riccardo Torchio
VCVincenzo Cirimele
Vincenzo Cirimele
PAPiergiorgio Alotto
Piergiorgio Alotto
Paolo BettiniPaolo Bettini
Paolo Bettini
The development of technologies for the additive manufacturing, in particular of metallic materials, is offering the possibility of producing parts with complex geometries. This opens up to the possibility of using topological optimization methods for the design of electromagnetic devices. Hence, a wide variety of approaches, originally developed for solid mechanics, have recently become attractive also in the field of electromagnetics. The general distinction between gradient-based and gradient-free methods drives the structure of the paper, with the latter becoming particularly attractive in the last years due to the concepts of artificial neural networks. The aim of this paper is twofold. On one hand, the paper aims at summarizing and describing the state-of-art on topology optimization techniques while on the other it aims at showing how the latter methodologies developed in non-electromagnetic framework (e.g., solid mechanics field) can be applied for the optimization of electromagnetic devices. Discussions and comparisons are both supported by theoretical aspects and numerical results.

21 July 2015 in Nuclear Fusion
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Journal Article
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VTV. Toigo
V. Toigo
DBD. Boilson
D. Boilson
TBT. Bonicelli
T. Bonicelli
RPR. Piovan
R. Piovan
MHM. Hanada
M. Hanada
MZM. Zaupa
M. Zaupa

20 February 2009 in IEEE Transactions on Dielectrics and Electrical Insulation
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Journal Article
Closed access
ALA. De Lorenzi
A. De Lorenzi
LGL. Grando
L. Grando
APA. Pesce
A. Pesce
Paolo BettiniPaolo Bettini
Paolo Bettini
RSRuben Specogna
Ruben Specogna
The spacers for the gas insulated transmission line for the ITER neutral beam injector will be designed to withstand the operating voltage of 1 MV dc. Electric charging processes of the spacer surface are then expected to play an important role in the final electric field distribution. Aim of the paper is to investigate the effects of the different conductivity properties of the SF6-Spacer insulating structures on the surface charge set-up, and to identify a procedure to minimize this charge. Based on the most updated literature, the paper presents and discusses the results of two newly developed simulation tools: the first consisting of a quasi-static non linear model for epoxy spacer based on finite element method code ANSYStrade, the other consisting of a spacer profile optimization package, whose kernel is based on a genetic algorithm. The numerical tools have been applied to post and disk spacer models of the gas insulated line; in particular, the optimization package has been used on the disk spacer, and the comparison between un-optimized and optimized spacer in terms of electric charge accumulated are presented and discussed.