03332nam 2200865z- 450 991055730460332120231214133044.0(CKB)5400000000042810(oapen)https://directory.doabooks.org/handle/20.500.12854/68501(EXLCZ)99540000000004281020202105d2021 |y 0engurmn|---annantxtrdacontentcrdamediacrrdacarrierMachining Dynamics and Parameters Process OptimizationBasel, SwitzerlandMDPI - Multidisciplinary Digital Publishing Institute20211 electronic resource (190 p.)3-0365-0294-7 3-0365-0295-5 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 & technologybicsscCNC parametersmachining modehigh speedhigh accuracyhigh surface qualityfive-axis linear-segment toolpathpath smoothingB-spline curve-fittingpath synchronizationfeedrate schedulingflute-grindingevolution algorithmswheel location and orientationthin-floor machiningchattermagnetorheological damperbull-nose end milltool wear monitoringmillingcomplex partdeep learningautoencoderdeep multi-layer perceptrontool condition monitoringtool change policyIndustry 4.0machine learningCNNAIadditive manufacturingthin walled machiningdynamicsmachining cycle optimizationmultivariable toolstable peninsulahomotopy perturbation methodmachining robotnatural frequency predictionmodel optimizationdynamic performancestabilitymachininggrindingHistory of engineering & technologyUrbicain Gorkaedt1290171Olvera Trejo DanieledtUrbicain GorkaothOlvera Trejo DanielothBOOK9910557304603321Machining Dynamics and Parameters Process Optimization3021383UNINA