Machining—Recent Advances, Applications and Challenges
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 manufact...
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MDPI - Multidisciplinary Digital Publishing Institute
2021
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| Online toegang: | 42691 |
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| author | Urbicain, Gorka López de Lacalle, Luis Norberto |
| author_browse | López de Lacalle, Luis Norberto Urbicain, Gorka |
| author_facet | Urbicain, Gorka López de Lacalle, Luis Norberto |
| author_sort | Urbicain, Gorka |
| collection | Directory of Open Access Books |
| description | 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. |
| format | Online |
| id | doab-20.500.12854ir-52524 |
| institution | Directory of Open Access Books |
| language | eng |
| publishDate | 2021 |
| publishDateRange | 2021 |
| publishDateSort | 2021 |
| publisher | MDPI - Multidisciplinary Digital Publishing Institute |
| publisherStr | MDPI - Multidisciplinary Digital Publishing Institute |
| record_format | ojs |
| spelling | doab-20.500.12854ir-525242024-04-11T15:11:30Z Machining—Recent Advances, Applications and Challenges Urbicain, Gorka López de Lacalle, Luis Norberto TA1-2040 T1-995 in situ estimation modeling simulation variable pitch X-ray diffraction cutting edge preparation plastic zone flank milling surface roughness power consumption cutting tool fatigue additive manufacturing optimization trochoidal step surface topography sinusoidal grid milling desirability approach electrochemical discharge machining fast simulation Inconel 718 secondary adhesion wear machinability hybrid stacks drilling cooling rate shape memory alloy residual stress diameter variation turning computer vision workholding on-machine monitoring chip morphology dry-cutting turning machine tools SACE-drilled hole depth residual stresses cryogenic machining prime machining costs PVD Ti0.41Al0.59N/Ti0.55Al0.45N coating single point incremental sheet forming butt weld joint dish angle machining characteristic DSC test segmented diamond blade cutting tool wear ultra-precision machining ceramics shape memory effect current density fractal dimension crack growth rate drilling force–temperature correlation through analytical modeling finite element model analytic solution aluminium taguchi method multi-objective optimization real-time prediction Gamma-TiAl cutting temperature EN 31 steel superalloys material-removal rate glass machining corner radius thin-wall machining vibration GPU titanium aluminides minimum quantity lubrication machining temperatures at two deformation zones finite element method roughness slight materials high computational efficiency dynamic adhesive heat transfer analysis connections stability vibrations trochoidal milling magnesium alloys specific cutting energy laser-assisted machining artificial neutral network microscopic analysis Milling stability topography weight loss modal testing sustainable machining dry damping ductile machining Inconel® 718 modelling cutting edge microgeometry electropulsing PCD cutting geometry fixture artificial neural networks spark-assisted chemical engraving machining specific energy consumption heat transfer search algorithm material removal rate prediction CFRP/UNS A92024 tool wear titanium alloy multi-beam laser chip compression ratio design of experiments concrete ANN titanium chatter response surface methodology machine tool superelastic nitinol optimal machining conditions machine vision steel sheet cutting process fracture mechanism self-excitation tool insert condition induction assisted milling hole quality GA titanium alloys microlens array parameter identification Taguchi method weld reinforcement slow tool servo cutting parameters flank super abrasive machining (SAM) stiffness properties grey relational analysis deflection computer numerical control grain density surface grinding the cutting force components Huber–Mises stress WEDM thema EDItEUR::T Technology, Engineering, Agriculture, Industrial processes::TB Technology: general issues::TBX History of engineering and technology 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. 2021-02-11T18:29:57Z 2021-02-11T18:29:57Z 2019-12-09 16:10:12 2019 book 42691 9783039213788 9783039213771 https://directory.doabooks.org/handle/20.500.12854/52524 eng application/octet-stream Attribution-NonCommercial-NoDerivatives 4.0 International https://mdpi.com/books/pdfview/book/1515 MDPI - Multidisciplinary Digital Publishing Institute 10.3390/books978-3-03921-378-8 10.3390/books978-3-03921-378-8 46cabcaa-dd94-4bfe-87b4-55023c1b36d0 9783039213788 9783039213771 554 open access |
| spellingShingle | TA1-2040 T1-995 in situ estimation modeling simulation variable pitch X-ray diffraction cutting edge preparation plastic zone flank milling surface roughness power consumption cutting tool fatigue additive manufacturing optimization trochoidal step surface topography sinusoidal grid milling desirability approach electrochemical discharge machining fast simulation Inconel 718 secondary adhesion wear machinability hybrid stacks drilling cooling rate shape memory alloy residual stress diameter variation turning computer vision workholding on-machine monitoring chip morphology dry-cutting turning machine tools SACE-drilled hole depth residual stresses cryogenic machining prime machining costs PVD Ti0.41Al0.59N/Ti0.55Al0.45N coating single point incremental sheet forming butt weld joint dish angle machining characteristic DSC test segmented diamond blade cutting tool wear ultra-precision machining ceramics shape memory effect current density fractal dimension crack growth rate drilling force–temperature correlation through analytical modeling finite element model analytic solution aluminium taguchi method multi-objective optimization real-time prediction Gamma-TiAl cutting temperature EN 31 steel superalloys material-removal rate glass machining corner radius thin-wall machining vibration GPU titanium aluminides minimum quantity lubrication machining temperatures at two deformation zones finite element method roughness slight materials high computational efficiency dynamic adhesive heat transfer analysis connections stability vibrations trochoidal milling magnesium alloys specific cutting energy laser-assisted machining artificial neutral network microscopic analysis Milling stability topography weight loss modal testing sustainable machining dry damping ductile machining Inconel® 718 modelling cutting edge microgeometry electropulsing PCD cutting geometry fixture artificial neural networks spark-assisted chemical engraving machining specific energy consumption heat transfer search algorithm material removal rate prediction CFRP/UNS A92024 tool wear titanium alloy multi-beam laser chip compression ratio design of experiments concrete ANN titanium chatter response surface methodology machine tool superelastic nitinol optimal machining conditions machine vision steel sheet cutting process fracture mechanism self-excitation tool insert condition induction assisted milling hole quality GA titanium alloys microlens array parameter identification Taguchi method weld reinforcement slow tool servo cutting parameters flank super abrasive machining (SAM) stiffness properties grey relational analysis deflection computer numerical control grain density surface grinding the cutting force components Huber–Mises stress WEDM thema EDItEUR::T Technology, Engineering, Agriculture, Industrial processes::TB Technology: general issues::TBX History of engineering and technology Urbicain, Gorka López de Lacalle, Luis Norberto Machining—Recent Advances, Applications and Challenges |
| title | Machining—Recent Advances, Applications and Challenges |
| title_full | Machining—Recent Advances, Applications and Challenges |
| title_fullStr | Machining—Recent Advances, Applications and Challenges |
| title_full_unstemmed | Machining—Recent Advances, Applications and Challenges |
| title_short | Machining—Recent Advances, Applications and Challenges |
| title_sort | machining recent advances applications and challenges |
| topic | TA1-2040 T1-995 in situ estimation modeling simulation variable pitch X-ray diffraction cutting edge preparation plastic zone flank milling surface roughness power consumption cutting tool fatigue additive manufacturing optimization trochoidal step surface topography sinusoidal grid milling desirability approach electrochemical discharge machining fast simulation Inconel 718 secondary adhesion wear machinability hybrid stacks drilling cooling rate shape memory alloy residual stress diameter variation turning computer vision workholding on-machine monitoring chip morphology dry-cutting turning machine tools SACE-drilled hole depth residual stresses cryogenic machining prime machining costs PVD Ti0.41Al0.59N/Ti0.55Al0.45N coating single point incremental sheet forming butt weld joint dish angle machining characteristic DSC test segmented diamond blade cutting tool wear ultra-precision machining ceramics shape memory effect current density fractal dimension crack growth rate drilling force–temperature correlation through analytical modeling finite element model analytic solution aluminium taguchi method multi-objective optimization real-time prediction Gamma-TiAl cutting temperature EN 31 steel superalloys material-removal rate glass machining corner radius thin-wall machining vibration GPU titanium aluminides minimum quantity lubrication machining temperatures at two deformation zones finite element method roughness slight materials high computational efficiency dynamic adhesive heat transfer analysis connections stability vibrations trochoidal milling magnesium alloys specific cutting energy laser-assisted machining artificial neutral network microscopic analysis Milling stability topography weight loss modal testing sustainable machining dry damping ductile machining Inconel® 718 modelling cutting edge microgeometry electropulsing PCD cutting geometry fixture artificial neural networks spark-assisted chemical engraving machining specific energy consumption heat transfer search algorithm material removal rate prediction CFRP/UNS A92024 tool wear titanium alloy multi-beam laser chip compression ratio design of experiments concrete ANN titanium chatter response surface methodology machine tool superelastic nitinol optimal machining conditions machine vision steel sheet cutting process fracture mechanism self-excitation tool insert condition induction assisted milling hole quality GA titanium alloys microlens array parameter identification Taguchi method weld reinforcement slow tool servo cutting parameters flank super abrasive machining (SAM) stiffness properties grey relational analysis deflection computer numerical control grain density surface grinding the cutting force components Huber–Mises stress WEDM thema EDItEUR::T Technology, Engineering, Agriculture, Industrial processes::TB Technology: general issues::TBX History of engineering and technology |
| topic_facet | TA1-2040 T1-995 in situ estimation modeling simulation variable pitch X-ray diffraction cutting edge preparation plastic zone flank milling surface roughness power consumption cutting tool fatigue additive manufacturing optimization trochoidal step surface topography sinusoidal grid milling desirability approach electrochemical discharge machining fast simulation Inconel 718 secondary adhesion wear machinability hybrid stacks drilling cooling rate shape memory alloy residual stress diameter variation turning computer vision workholding on-machine monitoring chip morphology dry-cutting turning machine tools SACE-drilled hole depth residual stresses cryogenic machining prime machining costs PVD Ti0.41Al0.59N/Ti0.55Al0.45N coating single point incremental sheet forming butt weld joint dish angle machining characteristic DSC test segmented diamond blade cutting tool wear ultra-precision machining ceramics shape memory effect current density fractal dimension crack growth rate drilling force–temperature correlation through analytical modeling finite element model analytic solution aluminium taguchi method multi-objective optimization real-time prediction Gamma-TiAl cutting temperature EN 31 steel superalloys material-removal rate glass machining corner radius thin-wall machining vibration GPU titanium aluminides minimum quantity lubrication machining temperatures at two deformation zones finite element method roughness slight materials high computational efficiency dynamic adhesive heat transfer analysis connections stability vibrations trochoidal milling magnesium alloys specific cutting energy laser-assisted machining artificial neutral network microscopic analysis Milling stability topography weight loss modal testing sustainable machining dry damping ductile machining Inconel® 718 modelling cutting edge microgeometry electropulsing PCD cutting geometry fixture artificial neural networks spark-assisted chemical engraving machining specific energy consumption heat transfer search algorithm material removal rate prediction CFRP/UNS A92024 tool wear titanium alloy multi-beam laser chip compression ratio design of experiments concrete ANN titanium chatter response surface methodology machine tool superelastic nitinol optimal machining conditions machine vision steel sheet cutting process fracture mechanism self-excitation tool insert condition induction assisted milling hole quality GA titanium alloys microlens array parameter identification Taguchi method weld reinforcement slow tool servo cutting parameters flank super abrasive machining (SAM) stiffness properties grey relational analysis deflection computer numerical control grain density surface grinding the cutting force components Huber–Mises stress WEDM thema EDItEUR::T Technology, Engineering, Agriculture, Industrial processes::TB Technology: general issues::TBX History of engineering and technology |
| url | 42691 |
| work_keys_str_mv | AT urbicaingorka machiningrecentadvancesapplicationsandchallenges AT lopezdelacalleluisnorberto machiningrecentadvancesapplicationsandchallenges |