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Machining Dynamics and Parameters Process Optimization



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Autore: Urbicain Gorka Visualizza persona
Titolo: Machining Dynamics and Parameters Process Optimization Visualizza cluster
Pubblicazione: Basel, Switzerland, : MDPI - Multidisciplinary Digital Publishing Institute, 2021
Descrizione fisica: 1 electronic resource (190 p.)
Soggetto topico: History of engineering & technology
Soggetto non controllato: CNC parameters
machining mode
high speed
high accuracy
high surface quality
five-axis linear-segment toolpath
path smoothing
B-spline curve-fitting
path synchronization
feedrate scheduling
flute-grinding
evolution algorithms
wheel location and orientation
thin-floor machining
chatter
magnetorheological damper
bull-nose end mill
tool wear monitoring
milling
complex part
deep learning
autoencoder
deep multi-layer perceptron
tool condition monitoring
tool change policy
Industry 4.0
machine learning
CNN
AI
additive manufacturing
thin walled machining
dynamics
machining cycle optimization
multivariable tool
stable peninsula
homotopy perturbation method
machining robot
natural frequency prediction
model optimization
dynamic performance
stability
machining
grinding
Persona (resp. second.): Olvera TrejoDaniel
UrbicainGorka
Sommario/riassunto: As we move further into the 21st century, despite the fact that new technologies have emerged, machining remains the key operation to achieve high productivity and precision for high-added value parts in several sectors, but recent advances in computer applications should close the gap between simulations and industrial practices. This book, “Machining Dynamics and Parameters Process Optimization”, is oriented toward the different strategies and paths when it comes to increasing productivity and reliability in metal removal processes. The topics include the dynamic characterization of machine tools, experimental dampening techniques, and optimization algorithms combined with signal monitoring.
Titolo autorizzato: Machining Dynamics and Parameters Process Optimization  Visualizza cluster
Formato: Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione: Inglese
Record Nr.: 9910557304603321
Lo trovi qui: Univ. Federico II
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