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Applications of Finite Element Modeling for Mechanical and Mechatronic Systems
Applications of Finite Element Modeling for Mechanical and Mechatronic Systems
Autore Krawczuk Marek
Pubbl/distr/stampa Basel, Switzerland, : MDPI - Multidisciplinary Digital Publishing Institute, 2021
Descrizione fisica 1 online resource (392 p.)
Soggetto topico Technology: general issues
Soggetto non controllato Abaqus
active periodic structures
adaptivity
Almen intensity
aluminum conductor steel-reinforced cable
applied load
aramid fiber
assessment
bell crank
bend deformation
bias tire
biomechanics
carbon fiber
channel
collision modeling
contact detection
convergence
crack detection
cut bar method
damage
damage detection
delamination
design
design of experiment
detection
disability
drill pipe joint
driver
electro-mechanical systems
endogenous fires
equilibrated residual method
experiment
fatigue fracture
FEA
FEM
finite element analysis
finite element method
finite element modeling
finite elements
Finite Elements Analysis (FEA)
finite volumne method
first-order models
friction coefficient
generative modelling
HALE UAV
head injury
heat lakes
hierarchical models
high peening coverage
hp-adaptivity
hpq/hp-approximations
hybrid composite
inflation analysis
injury criteria
local behaviors
longwall
low loading
mechanical parameters
misalignment
natural frequency
nondestructive inspection
numerical locking
numerical modeling
numerical simulation
NURBS
p-enrichment
PCHE
piezoelectrics
quantitative description of peening coverage
residual compressive stress
resolution
reverse engineering
roll-to-roll process
rubber
safety
sealing properties
sensitivity analysis
SFEM
shot peening
shrinkage
single-sided
smart materials
solid mechanics
spontaneous combustion
steady-state
strain deviation
stress
stress gradients
surface profile
swingarm
textile cord
thermal conductivity
thin-layer composite structure
three-wheel motorcycle
topology optimization
torsion springs
transition models
turbine blade
underground coal mine
utilization factor
ventilation system
vibrometer
web deformation
wind loads
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Record Nr. UNINA-9910557596503321
Krawczuk Marek  
Basel, Switzerland, : MDPI - Multidisciplinary Digital Publishing Institute, 2021
Materiale a stampa
Lo trovi qui: Univ. Federico II
Opac: Controlla la disponibilità qui
Fundamentals of Enhanced Oil Recovery
Fundamentals of Enhanced Oil Recovery
Autore Kremieniewski Marcin
Pubbl/distr/stampa Basel, : MDPI - Multidisciplinary Digital Publishing Institute, 2022
Descrizione fisica 1 online resource (268 p.)
Soggetto topico History of engineering & technology
Technology: general issues
Soggetto non controllato acid gas
acid gas migration
acid gas reinjection
adhesion
aggressive natural gas components
annular space
borehole cleaning
borehole sealing efficiency
bottomhole sampling
capillarity
carbonate reservoir
cement sheath
cement slurry
cement stone
cementing
chrome coating
cleaning the borehole
cluster analysis
CO2
CO2 and H2S geological sequestration
corrosion resistance
drilling fluids
drilling mud
emulsifier
emulsion stability
enhanced oil recovery
enzymes
EOR
filter cake
fine-grained material
formation permeability
gas and water chemical analysis
gas migration
gas outflows
gas production
gas well ranking
gas-water-oil mixture
genetic programming
genetic type of kerogen
high temperature on corrosion of mining pipes
high-nitrogen natural gas
improved borehole sealing
improving the sealing of the borehole
invert drilling fluid
isotopic composition
jet pump
L80-1 steel
leakage risk analysis
mechanical parameters
mud cake
n/a
nanosilica
oil
oil gas
oil phase
oil-based mud
oxidants
pore scale
rational selection of drilling fluids
recovery factor
shale gas
soil gas analysis
spacer fluid
sucker-rod pump
technological parameters
total organic carbon (TOC)
unconventional resources
viscosity
WAG
wash
wash contact time
water
water alternating gas
water flooding
water phase
water shut-off treatment
water-gas ratio (WGR)
well
well cementing
well logging data quality and quantity interpretation
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Record Nr. UNINA-9910585938103321
Kremieniewski Marcin  
Basel, : MDPI - Multidisciplinary Digital Publishing Institute, 2022
Materiale a stampa
Lo trovi qui: Univ. Federico II
Opac: Controlla la disponibilità qui