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Additive Manufacturing Research and Applications
| Additive Manufacturing Research and Applications |
| Autore | Ertas Atila |
| Pubbl/distr/stampa | Basel, : MDPI - Multidisciplinary Digital Publishing Institute, 2022 |
| Descrizione fisica | 1 electronic resource (338 p.) |
| Soggetto topico |
Technology: general issues
History of engineering & technology |
| Soggetto non controllato |
powder-bed additive manufacturing (AM)
powder spreading spreading process map discrete element method (DEM) machine learning GMA additive manufacturing weld reinforcement visual features neural network selective laser melting magnesium alloys properties plasma metal deposition additive manufacturing 316L processing conditions mechanical properties microstructure virgin recycled metal powders laser powder bed fusion laser additive manufacturing 316l ss nickel alloy tribological behavior porosity rough surface ultrasonic testing convolutional neural network deep neural network multi-layer perceptron key performance indicators topology optimization design for additive manufacturing design for additive manufacturing services selective laser melting (SLM) laser powder bed fusion (LPBF) powder particle size distribution particle morphology powder layer density part density flowability Hausner ratio electron beam melting customized implant cost analysis fitting accuracy cranial reconstruction thin wall manufacturing process modelling ultrasonic vibration laser directed energy deposition coating TiC-TMC extremity revision limb salvage surgery 3D printing customized implant powder metallurgy simulated body fluid biomaterial fatigue titanium direct laser deposition Inconel 625 parametrisation microhardness preheating binder jetting sand casting aluminum alloy corrosion pressure drop heat exchanger surface textures dimples drag reduction |
| Formato | Materiale a stampa  |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Record Nr. | UNINA-9910576882303321 |
Ertas Atila
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| Basel, : MDPI - Multidisciplinary Digital Publishing Institute, 2022 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
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Machining—Recent Advances, Applications and Challenges
| Machining—Recent Advances, Applications and Challenges |
| Autore | Urbicain Gorka |
| Pubbl/distr/stampa | MDPI - Multidisciplinary Digital Publishing Institute, 2019 |
| Descrizione fisica | 1 electronic resource (554 p.) |
| Soggetto non controllato |
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 |
| ISBN | 3-03921-378-4 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Record Nr. | UNINA-9910367565503321 |
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Urbicain Gorka
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| MDPI - Multidisciplinary Digital Publishing Institute, 2019 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
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