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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.

History of engineering & technology --- 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 --- n/a

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This Special Issue collects the latest results on differential/difference equations, the mathematics of networks, and their applications to engineering and physical phenomena. It features nine high-quality papers that were published with original research results. The Special Issue brings together mathematicians with physicists, engineers, as well as other scientists.

fractional discrete calculus --- discrete chaos --- Tinkerbell map --- bifurcation --- stabilization --- communication networks --- maximum flow --- network policies --- algorithms --- gas flow --- stress-sensitive porous media --- multiple hydraulic fractures --- vertical fractured well --- Output-feedback --- centralized control --- decentralized control --- closed-loop stabilization --- Hardy Cross method --- pipe networks --- piping systems --- hydraulic networks --- gas distribution --- multi-switching combination synchronization --- time-delay --- fractional-order --- stability --- Shehu transformation --- Adomian decomposition --- analytical solution --- Caputo derivatives --- (2+time fractional-order) dimensional physical models --- homotopy perturbation method --- variational iteration method --- Laplace transform method --- acoustic wave equations --- n/a

Choose an application

• Reference Manager
• EndNote
• RefWorks (Direct export to RefWorks)

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.

History of engineering & technology --- 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