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Machining Dynamics and Parameters Process Optimization
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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.
This book is included in DOAB.
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Keywords
- additive manufacturing
- AI
- autoencoder
- B-spline curve-fitting
- bull-nose end mill
- chatter
- CNC parameters
- CNN
- complex part
- deep learning
- deep multi-layer perceptron
- dynamic performance
- Dynamics
- evolution algorithms
- feedrate scheduling
- five-axis linear-segment toolpath
- flute-grinding
- grinding
- high accuracy
- high speed
- high surface quality
- History of engineering & technology
- homotopy perturbation method
- Industry 4.0
- Machine learning
- Machining
- machining cycle optimization
- machining mode
- machining robot
- magnetorheological damper
- milling
- model optimization
- multivariable tool
- n/a
- natural frequency prediction
- path smoothing
- path synchronization
- Stability
- stable peninsula
- Technology, engineering, agriculture
- Technology: general issues
- thin walled machining
- thin-floor machining
- tool change policy
- tool condition monitoring
- tool wear monitoring
- wheel location and orientation
Links
DOI: 10.3390/books978-3-0365-0295-3Editions