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Machining Dynamics and Parameters Process Optimization

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 simul...

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Bibliographic Details
Main Author: Urbicain, Gorka
Other Authors: Olvera Trejo, Daniel
Format: eBook
Language:English
Published: Basel, Switzerland MDPI - Multidisciplinary Digital Publishing Institute 2021
Subjects:
Machine Learning
Grinding
Industry 4.0
Path Smoothing
Magnetorheological Damper
Natural Frequency Prediction
Multivariable Tool
N/a
Machining Mode
Autoencoder
Deep Learning
Path Synchronization
Thin-floor Machining
Tool Change Policy
History Of Engineering And Technology / Bicssc
Machining Robot
High Surface Quality
Five-axis Linear-segment Toolpath
Complex Part
B-spline Curve-fitting
Additive Manufacturing
High Accuracy
High Speed
Ai
Tool Wear Monitoring
Cnc Parameters
Bull-nose End Mill
Machining
Stable Peninsula
Thin Walled Machining
Wheel Location And Orientation
Chatter
Dynamic Performance
Machining Cycle Optimization
Stability
Feedrate Scheduling
Milling
Homotopy Perturbation Method
Evolution Algorithms
Tool Condition Monitoring
Cnn
Model Optimization
Deep Multi-layer Perceptron
Flute-grinding
Dynamics
Online Access:
Collection: Directory of Open Access Books - Collection details see MPG.ReNa
Description
Summary: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.
Item Description:Creative Commons (cc), https://creativecommons.org/licenses/by/4.0/
Physical Description:1 electronic resource (190 p.)
ISBN:9783036502946
books978-3-0365-0295-3
9783036502953

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