07877nam 2202137z- 450 991036756550332120231214132843.03-03921-378-4(CKB)4100000010106091(oapen)https://directory.doabooks.org/handle/20.500.12854/52524(EXLCZ)99410000001010609120202102d2019 |y 0engurmn|---annantxtrdacontentcrdamediacrrdacarrierMachining—Recent Advances, Applications and ChallengesMDPI - Multidisciplinary Digital Publishing Institute20191 electronic resource (554 p.)3-03921-377-6 The Special Issue Machining—Recent Advances, Applications and Challenges is intended as a humble collection of some of the hottest topics in machining. The manufacturing industry is a varying and challenging environment where new advances emerge from one day to another. In recent years, new manufacturing procedures have retained increasing attention from the industrial and scientific community. However, machining still remains the key operation to achieve high productivity and precision for high-added value parts. Continuous research is performed, and new ideas are constantly considered. This Special Issue summarizes selected high-quality papers which were submitted, peer-reviewed, and recommended by experts. It covers some (but not only) of the following topics: High performance operations for difficult-to-cut alloys, wrought and cast materials, light alloys, ceramics, etc.; Cutting tools, grades, substrates and coatings. Wear damage; Advanced cooling in machining: Minimum quantity of lubricant, dry or cryogenics; Modelling, focused on the reduction of risks, the process outcome, and to maintain surface integrity; Vibration problems in machines: Active and passive/predictive methods, sources, diagnosis and avoidance; Influence of machining in new concepts of machine–tool, and machine static and dynamic behaviors; Machinability of new composites, brittle and emerging materials; Assisted machining processes by high-pressure, laser, US, and others; Introduction of new analytics and decision making into machining programming. We wish to thank the reviewers and staff from Materials for their comments, advice, suggestions and invaluable support during the development of this Special Issue.in situ estimationmodelingsimulationvariable pitchX-ray diffractioncutting edge preparationplastic zoneflank millingsurface roughnesspower consumptioncutting toolfatigueadditive manufacturingoptimizationtrochoidal stepsurface topographysinusoidal gridmillingdesirability approachelectrochemical discharge machiningfast simulationInconel 718secondary adhesion wearmachinabilityhybrid stacks drillingcooling rateshape memory alloyresidual stressdiameter variationturningcomputer visionworkholdingon-machine monitoringchip morphologydry-cuttingturning machine toolsSACE-drilled hole depthresidual stressescryogenic machiningprime machining costsPVD Ti0.41Al0.59N/Ti0.55Al0.45N coatingsingle point incremental sheet formingbutt weld jointdish anglemachining characteristicDSC testsegmented diamond bladecutting tool wearultra-precision machiningceramicsshape memory effectcurrent densityfractal dimensioncrack growth ratedrillingforce–temperature correlation through analytical modelingfinite element modelanalytic solutionaluminiumtaguchi methodmulti-objective optimizationreal-time predictionGamma-TiAlcutting temperatureEN 31 steelsuperalloysmaterial-removal rateglass machiningcorner radiusthin-wall machiningvibrationGPUtitanium aluminidesminimum quantity lubricationmachining temperatures at two deformation zonesfinite element methodroughnessslight materialshigh computational efficiencydynamicadhesiveheat transfer analysisconnectionsstabilityvibrationstrochoidal millingmagnesium alloysspecific cutting energylaser-assisted machiningartificial neutral networkmicroscopic analysisMilling stabilitytopographyweight lossmodal testingsustainable machiningdrydampingductile machiningInconel® 718modellingcutting edge microgeometryelectropulsingPCDcutting geometryfixtureartificial neural networksspark-assisted chemical engravingmachiningspecific energy consumptionheat transfer search algorithmmaterial removal ratepredictionCFRP/UNS A92024tool weartitanium alloymulti-beam laserchip compression ratiodesign of experimentsconcreteANNtitaniumchatterresponse surface methodologymachine toolsuperelastic nitinoloptimal machining conditionsmachine visionsteel sheetcutting processfracture mechanismself-excitationtool insert conditioninduction assisted millinghole qualityGAtitanium alloysmicrolens arrayparameter identificationTaguchi methodweld reinforcementslow tool servocutting parametersflank super abrasive machining (SAM)stiffness propertiesgrey relational analysisdeflectioncomputer numerical controlgrain densitysurface grindingthe cutting force componentsHuber–Mises stressWEDMUrbicain Gorkaauth1290171López de Lacalle Luis NorbertoauthBOOK9910367565503321Machining—Recent Advances, Applications and Challenges3040466UNINA