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"3D" Parametric and Nonparametric Description of Surface Topography in Manufacturing Processes
"3D" Parametric and Nonparametric Description of Surface Topography in Manufacturing Processes
Autore Królczyk Grzegorz
Pubbl/distr/stampa Basel, Switzerland, : MDPI - Multidisciplinary Digital Publishing Institute, 2021
Descrizione fisica 1 online resource (337 p.)
Soggetto topico Technology: general issues
Soggetto non controllato 3D surface roughness parameters
abrasive water jet machining
abrasive wear
anisotropy
austenitization
autocorrelation function
automated fiber placement
bimodal distribution
circulated coins
contact mechanics
contact profilometry
correlation length
craters
cryogenic
cutting kerf
EDM
electroplated grinding wheel
equivalent sum rough surface
fiber-reinforced polymers
grinding wheel surface texture
grinding wheel wear
hardness
heat-welded V-belt
high-efficiency video coding (HEVC)
IR thermography
machining
magnetic abrasive finishing
material ratio
material removal
material removal rate
measurements and analysis
mechanical engineering
micro turning
microgeometry
microhardness
microstructure
multiscale
multiscale analysis
n/a
nano-finishing
optical methods
optical microscopy
optimization
parameters
parametric appraisal
path planning
profile
quality
radius of the cutting head trajectory
ridging
roping
roughness
roughness analysis
RSM
SEM morphology
sintered aluminum
soda-lime glass
support vector machine (SVM)
surface condition
surface defects
surface roughness
surface texture
surface topography
tempering
texture feature descriptors
texture image classification
thermal chamber
thermal disturbance
thermal expansion
thermoplastic polyurethane
Ti6Al4V alloy
tool wear
topography
two-process surface
β-phase TNTZ alloy
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Record Nr. UNINA-9910557334003321
Królczyk Grzegorz  
Basel, Switzerland, : MDPI - Multidisciplinary Digital Publishing Institute, 2021
Materiale a stampa
Lo trovi qui: Univ. Federico II
Opac: Controlla la disponibilità qui
Advances and Trends in Non-conventional, Abrasive and Precision Machining
Advances and Trends in Non-conventional, Abrasive and Precision Machining
Autore Markopoulos Angelos P
Pubbl/distr/stampa Basel, Switzerland, : MDPI - Multidisciplinary Digital Publishing Institute, 2021
Descrizione fisica 1 online resource (152 p.)
Soggetto topico Technology: general issues
Soggetto non controllato abrasive brushing
abrasive grain trajectories
abrasive machining
AISI 304
aluminum alloy Al5052
ANOVA
automation of honing
Box-Behnken design
burnishing process
ceramics
CNC turning
decomposition of signals
DoE
electrical discharge machining
fatigue strength
fine machining
finishing
FlexSim
grinding
heat affected zone
honing
honing of holes
Inconel 617 super alloy
kinematics of honing
machine learning
material removal rate
MgO-PSZ
n/a
performance measures
process parameters
profile parameters
rigidity
RSM method
S355JR
ship propeller
single-sided lapping
surface layer
surface processing
surface roughness
surface texture
thermography
tool wear
wavelet analysis
white layer formation
wire EDM
ZrO2
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Record Nr. UNINA-9910557740003321
Markopoulos Angelos P  
Basel, Switzerland, : MDPI - Multidisciplinary Digital Publishing Institute, 2021
Materiale a stampa
Lo trovi qui: Univ. Federico II
Opac: Controlla la disponibilità qui
Machining-Recent Advances, Applications and Challenges / Luis Norberto López de Lacalle, Gorka Urbicain
Machining-Recent Advances, Applications and Challenges / Luis Norberto López de Lacalle, Gorka Urbicain
Autore López de Lacalle Luis Norberto
Pubbl/distr/stampa MDPI - Multidisciplinary Digital Publishing Institute, 2019
Descrizione fisica 1 electronic resource (554 p.)
Soggetto topico History of engineering and technology
Soggetto non controllato in situ estimation
modeling
simulation
variable pitch
X-ray diffraction
cutting edge preparation
plastic zone
flank milling
surface roughness
power consumption
cutting tool
fatigue
additive manufacturing
optimization
trochoidal step
surface topography
sinusoidal grid
milling
desirability approach
electrochemical discharge machining
fast simulation
Inconel 718
secondary adhesion wear
machinability
hybrid stacks drilling
cooling rate
shape memory alloy
residual stress
diameter variation
turning
computer vision
workholding
on-machine monitoring
chip morphology
dry-cutting
turning machine tools
SACE-drilled hole depth
residual stresses
cryogenic machining
prime machining costs
PVD Ti0.41Al0.59N/Ti0.55Al0.45N coating
single point incremental sheet forming
butt weld joint
dish angle
machining characteristic
DSC test
segmented diamond blade
cutting tool wear
ultra-precision machining
ceramics
shape memory effect
current density
fractal dimension
crack growth rate
drilling
force–temperature correlation through analytical modeling
finite element model
analytic solution
aluminium
taguchi method
multi-objective optimization
real-time prediction
Gamma-TiAl
cutting temperature
EN 31 steel
superalloys
material-removal rate
glass machining
corner radius
thin-wall machining
vibration
GPU
titanium aluminides
minimum quantity lubrication
machining temperatures at two deformation zones
finite element method
roughness
slight materials
high computational efficiency
dynamic
adhesive
heat transfer analysis
connections
stability
vibrations
trochoidal milling
magnesium alloys
specific cutting energy
laser-assisted machining
artificial neutral network
microscopic analysis
Milling stability
topography
weight loss
modal testing
sustainable machining
dry
damping
ductile machining
Inconel® 718
modelling
cutting edge microgeometry
electropulsing
PCD
cutting geometry
fixture
artificial neural networks
spark-assisted chemical engraving
machining
specific energy consumption
heat transfer search algorithm
material removal rate
prediction
CFRP/UNS A92024
tool wear
titanium alloy
multi-beam laser
chip compression ratio
design of experiments
concrete
ANN
titanium
chatter
response surface methodology
machine tool
superelastic nitinol
optimal machining conditions
machine vision
steel sheet
cutting process
fracture mechanism
self-excitation
tool insert condition
induction assisted milling
hole quality
GA
titanium alloys
microlens array
parameter identification
Taguchi method
weld reinforcement
slow tool servo
cutting parameters
flank super abrasive machining (SAM)
stiffness properties
grey relational analysis
deflection
computer numerical control
grain density
surface grinding
the cutting force components
Huber–Mises stress
WEDM
ISBN 9783039213788
3039213784
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Record Nr. UNINA-9910367565503321
López de Lacalle Luis Norberto  
MDPI - Multidisciplinary Digital Publishing Institute, 2019
Materiale a stampa
Lo trovi qui: Univ. Federico II
Opac: Controlla la disponibilità qui