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dc.contributor.editorUrbicain, Gorka
dc.contributor.editorOlvera Trejo, Daniel
dc.date.accessioned2021-05-01T15:11:29Z
dc.date.available2021-05-01T15:11:29Z
dc.date.issued2021
dc.identifierONIX_20210501_9783036502946_247
dc.identifier.urihttps://directory.doabooks.org/handle/20.500.12854/68501
dc.description.abstractAs 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.
dc.languageEnglish
dc.subject.classificationbic Book Industry Communication::T Technology, engineering, agriculture::TB Technology: general issues::TBX History of engineering & technology
dc.subject.otherCNC parameters
dc.subject.othermachining mode
dc.subject.otherhigh speed
dc.subject.otherhigh accuracy
dc.subject.otherhigh surface quality
dc.subject.otherfive-axis linear-segment toolpath
dc.subject.otherpath smoothing
dc.subject.otherB-spline curve-fitting
dc.subject.otherpath synchronization
dc.subject.otherfeedrate scheduling
dc.subject.otherflute-grinding
dc.subject.otherevolution algorithms
dc.subject.otherwheel location and orientation
dc.subject.otherthin-floor machining
dc.subject.otherchatter
dc.subject.othermagnetorheological damper
dc.subject.otherbull-nose end mill
dc.subject.othertool wear monitoring
dc.subject.othermilling
dc.subject.othercomplex part
dc.subject.otherdeep learning
dc.subject.otherautoencoder
dc.subject.otherdeep multi-layer perceptron
dc.subject.othertool condition monitoring
dc.subject.othertool change policy
dc.subject.otherIndustry 4.0
dc.subject.othermachine learning
dc.subject.otherCNN
dc.subject.otherAI
dc.subject.otheradditive manufacturing
dc.subject.otherthin walled machining
dc.subject.otherdynamics
dc.subject.othermachining cycle optimization
dc.subject.othermultivariable tool
dc.subject.otherstable peninsula
dc.subject.otherhomotopy perturbation method
dc.subject.othermachining robot
dc.subject.othernatural frequency prediction
dc.subject.othermodel optimization
dc.subject.otherdynamic performance
dc.subject.otherstability
dc.subject.othermachining
dc.subject.othergrinding
dc.subject.othern/a
dc.titleMachining Dynamics and Parameters Process Optimization
dc.typebook
oapen.identifier.doi10.3390/books978-3-0365-0295-3
oapen.relation.isPublishedBy46cabcaa-dd94-4bfe-87b4-55023c1b36d0
oapen.relation.isbn9783036502946
oapen.relation.isbn9783036502953
oapen.pages190
oapen.place.publicationBasel, Switzerland


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