top

  Info

  • Utilizzare la checkbox di selezione a fianco di ciascun documento per attivare le funzionalità di stampa, invio email, download nei formati disponibili del (i) record.

  Info

  • Utilizzare questo link per rimuovere la selezione effettuata.
Design and Application of Electrical Machines
Design and Application of Electrical Machines
Autore Palka Ryszard
Pubbl/distr/stampa MDPI - Multidisciplinary Digital Publishing Institute, 2022
Descrizione fisica 1 electronic resource (352 p.)
Soggetto topico Technology: general issues
History of engineering & technology
Soggetto non controllato electric AWD tractor
SOC level
simulation model
load measurement system
driving test
brushless direct current motor with permanent magnet (BLDCM)
winding configurations
star
delta
star-delta
fault states
open circuit (OC)
FFT
neutral-point voltage
electrical machine
hydro generator
faulty synchronization
finite element method
field-circuit modeling
permanent magnet machines
hybrid excitation
electric vehicles
wind power generator
finite element methods
variable speed machines
synchronous generator
permanent magnets
demagnetization
motor control
switched reluctance motor
MATLAB
simulation
wheel hub motor
electric drive
permanent magnet synchronous motor
electrical machines
thermal modeling
preformed coils
insulation systems
pre-shaped conductor
system model
structural dynamics
multibody simulation
transient electrical machine model
permanent magnet synchronous machine
induction machine
dynamic gear forces
planetary gear
synchronous condenser
different materials
magnetic flux leakage in the end
eddy current loss
fluid-solid coupling
finite element analysis (FEA)
interior PM synchronous motor
surface PM synchronous motor
traction applications
finite element analysis
flux switching machine
flux bridge
magnetic flux leakage
variable flux machine
axial flux generator
spatial harmonic interaction
harmonic balance method
turbo-generator
eddy current losses
data driven
support vector regression
multi-layer perceptron
vane pump
electric motor
integrated motor-pump assembly (IMPA)
balanced vane pump
fluid power drives
brushless DC electric motor
permanent magnet machine
measurements
high-speed motor
electromagnetic analysis
mechanical analysis
thermal analysis
electromechanical convertor
drive system component
electromagnetic calculation
MR fluids
MR multi-disc clutch
clutch design
electric train
hybrid excited linear flux switching machine
rope-less elevator
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Record Nr. UNINA-9910576876803321
Palka Ryszard  
MDPI - Multidisciplinary Digital Publishing Institute, 2022
Materiale a stampa
Lo trovi qui: Univ. Federico II
Opac: Controlla la disponibilità qui
Empowering Materials Processing and Performance from Data and AI
Empowering Materials Processing and Performance from Data and AI
Autore Chinesta Francisco
Pubbl/distr/stampa Basel, Switzerland, : MDPI - Multidisciplinary Digital Publishing Institute, 2021
Descrizione fisica 1 electronic resource (156 p.)
Soggetto topico Technology: general issues
Soggetto non controllato plasticity
machine learning
constitutive modeling
manifold learning
topological data analysis
GENERIC
soft living tissues
hyperelasticity
computational modeling
data-driven mechanics
TDA
Code2Vect
nonlinear regression
effective properties
microstructures
model calibration
sensitivity analysis
elasto-visco-plasticity
Gaussian process
high-throughput experimentation
additive manufacturing
Ti-Mn alloys
spherical indentation
statistical analysis
Gaussian process regression
nanoporous metals
open-pore foams
FE-beam model
data mining
mechanical properties
hardness
principal component analysis
structure-property relationship
microcompression
nanoindentation
analytical model
finite element model
artificial neural networks
model correction
feature engineering
physics based
data driven
laser shock peening
residual stresses
data-driven
multiscale
nonlinear
stochastics
neural networks
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Record Nr. UNINA-9910557717703321
Chinesta Francisco  
Basel, Switzerland, : MDPI - Multidisciplinary Digital Publishing Institute, 2021
Materiale a stampa
Lo trovi qui: Univ. Federico II
Opac: Controlla la disponibilità qui