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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
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Ein Prognosemodell für die Verwitterung von Sandstein
Ein Prognosemodell für die Verwitterung von Sandstein
Autore Kotan Engin
Pubbl/distr/stampa KIT Scientific Publishing, 2017
Descrizione fisica 1 electronic resource (Getr. Zählung p.)
Collana Karlsruher Reihe Massivbau, Baustofftechnologie, Materialprüfung / Institut für Massivbau und Baustofftechnologie ; Materialprüfungs- und Forschungsanstalt Karlsruhe
Soggetto non controllato Ermüdung
weathering model
Lebensdauer
finite element methods
durability
Verwitterungsmodell
FEMsandstone
Sandstein
fatigue behaviour
ISBN 1000054324
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione ger
Record Nr. UNINA-9910346771603321
Kotan Engin  
KIT Scientific Publishing, 2017
Materiale a stampa
Lo trovi qui: Univ. Federico II
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Mathematical Modeling of the Human Brain : From Magnetic Resonance Images to Finite Element Simulation / Kent-André Mardal, Marie E. Rognes, Travis B. Thompson, Lars Magnus Valnes
Mathematical Modeling of the Human Brain : From Magnetic Resonance Images to Finite Element Simulation / Kent-André Mardal, Marie E. Rognes, Travis B. Thompson, Lars Magnus Valnes
Autore Mardal Kent-André
Edizione [1st edition.]
Pubbl/distr/stampa Cham, : Springer Nature, 2022
Descrizione fisica 1 online resource (129 pages) : (XVI, 118 p. 32 illus., 25 illus. in color. :)
Altri autori (Persone) RognesMarie E
ThompsonTravis B
ValnesLars Magnus
Collana Simula SpringerBriefs on Computing
Soggetto topico Human physiology
Biomathematics
Mathematical models
Cervell
Imatges per ressonància magnètica
Models matemàtics
Soggetto genere / forma Llibres electrònics
Soggetto non controllato magnetic resonance imaging
Mesh generation
mathematical modeling
finite element methods
scientific computing
ISBN 3-030-95136-7
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Nota di contenuto Introduction --Working with magnetic resonance images of the brain --From T1 images to numerical simulation --Introducing heterogeneities --Introducing directionality with diffusion tensors --Simulating anisotropic diffusion in heterogeneous brain regions --Concluding remarks and outlook --References --Index.
Record Nr. UNINA-9910548277003321
Mardal Kent-André  
Cham, : Springer Nature, 2022
Materiale a stampa
Lo trovi qui: Univ. Federico II
Opac: Controlla la disponibilità qui
Mathematical Modeling of the Human Brain : From Magnetic Resonance Images to Finite Element Simulation / Kent-André Mardal, Marie E. Rognes, Travis B. Thompson, Lars Magnus Valnes
Mathematical Modeling of the Human Brain : From Magnetic Resonance Images to Finite Element Simulation / Kent-André Mardal, Marie E. Rognes, Travis B. Thompson, Lars Magnus Valnes
Autore Mardal Kent-André
Edizione [1st edition.]
Pubbl/distr/stampa Cham, : Springer Nature, 2022
Descrizione fisica 1 online resource (129 pages) : (XVI, 118 p. 32 illus., 25 illus. in color. :)
Altri autori (Persone) RognesMarie E
ThompsonTravis B
ValnesLars Magnus
Collana Simula SpringerBriefs on Computing
Soggetto topico Human physiology
Biomathematics
Mathematical models
Cervell
Imatges per ressonància magnètica
Models matemàtics
Soggetto genere / forma Llibres electrònics
Soggetto non controllato magnetic resonance imaging
Mesh generation
mathematical modeling
finite element methods
scientific computing
ISBN 3-030-95136-7
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Nota di contenuto Introduction --Working with magnetic resonance images of the brain --From T1 images to numerical simulation --Introducing heterogeneities --Introducing directionality with diffusion tensors --Simulating anisotropic diffusion in heterogeneous brain regions --Concluding remarks and outlook --References --Index.
Record Nr. UNISA-996466419203316
Mardal Kent-André  
Cham, : Springer Nature, 2022
Materiale a stampa
Lo trovi qui: Univ. di Salerno
Opac: Controlla la disponibilità qui
Modeling excitable tissue : the EMI framework / / editors, Aslak Tveito, Kent-Andre Mardal, Marie E. Rognes
Modeling excitable tissue : the EMI framework / / editors, Aslak Tveito, Kent-Andre Mardal, Marie E. Rognes
Autore Tveito Aslak
Edizione [1st edition 2021.]
Pubbl/distr/stampa Springer Nature, 2021
Descrizione fisica 1 online resource (XVII, 100 p. 25 illus. in color.)
Disciplina 570.285
Collana Reports on Computational Physiology
Soggetto topico Bioinformatics
Cell physiology
Computational biology
Excitation (Physiology) - Mathematical models
Mathematical models
Soggetto non controllato Mathematical and Computational Biology
Applications of Mathematics
Mathematical Modeling and Industrial Mathematics
applied mathematics
scientific computing
computational physiology
finite element methods
cardiac modelling
biomechanics
numerical methods
preconditioning
open access
Maths for scientists
Mathematical modelling
Maths for engineers
ISBN 3-030-61157-4
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Nota di contenuto Derivation of a cell-based mathematical model of excitable cells -- A cell-based model for ionic electrodiffusion in excitable tissue -- Modeling cardiac mechanics on a subcellular scale -- Operator splitting and finite difference schemes for solving the EMI model -- Solving the EMI equations using finite element methods -- Iterative solvers for EMI models -- Improving neural simulations with the EMI model -- Index.
Record Nr. UNINA-9910424947903321
Tveito Aslak  
Springer Nature, 2021
Materiale a stampa
Lo trovi qui: Univ. Federico II
Opac: Controlla la disponibilità qui
Modeling excitable tissue : the EMI framework / / editors, Aslak Tveito, Kent-Andre Mardal, Marie E. Rognes
Modeling excitable tissue : the EMI framework / / editors, Aslak Tveito, Kent-Andre Mardal, Marie E. Rognes
Autore Tveito Aslak
Edizione [1st edition 2021.]
Pubbl/distr/stampa Springer Nature, 2021
Descrizione fisica 1 online resource (XVII, 100 p. 25 illus. in color.)
Disciplina 570.285
Collana Reports on Computational Physiology
Soggetto topico Bioinformatics
Cell physiology
Computational biology
Excitation (Physiology) - Mathematical models
Mathematical models
Soggetto non controllato Mathematical and Computational Biology
Applications of Mathematics
Mathematical Modeling and Industrial Mathematics
applied mathematics
scientific computing
computational physiology
finite element methods
cardiac modelling
biomechanics
numerical methods
preconditioning
open access
Maths for scientists
Mathematical modelling
Maths for engineers
ISBN 3-030-61157-4
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Nota di contenuto Derivation of a cell-based mathematical model of excitable cells -- A cell-based model for ionic electrodiffusion in excitable tissue -- Modeling cardiac mechanics on a subcellular scale -- Operator splitting and finite difference schemes for solving the EMI model -- Solving the EMI equations using finite element methods -- Iterative solvers for EMI models -- Improving neural simulations with the EMI model -- Index.
Record Nr. UNISA-996466563303316
Tveito Aslak  
Springer Nature, 2021
Materiale a stampa
Lo trovi qui: Univ. di Salerno
Opac: Controlla la disponibilità qui