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| Autore: |
Ertas Atila
|
| Titolo: |
Additive Manufacturing Research and Applications
|
| Pubblicazione: | Basel, : MDPI - Multidisciplinary Digital Publishing Institute, 2022 |
| Descrizione fisica: | 1 online resource (338 p.) |
| Soggetto topico: | History of engineering & technology |
| Technology: general issues | |
| Soggetto non controllato: | 316L |
| 316l ss | |
| 3D printing | |
| additive manufacturing | |
| aluminum alloy | |
| binder jetting | |
| biomaterial | |
| coating | |
| convolutional neural network | |
| corrosion | |
| cost analysis | |
| cranial reconstruction | |
| customized | |
| customized implant | |
| deep neural network | |
| design for additive manufacturing | |
| design for additive manufacturing services | |
| dimples | |
| direct laser deposition | |
| discrete element method (DEM) | |
| drag reduction | |
| electron beam melting | |
| extremity | |
| fatigue | |
| fitting accuracy | |
| flowability | |
| GMA additive manufacturing | |
| Hausner ratio | |
| heat exchanger | |
| implant | |
| Inconel 625 | |
| key performance indicators | |
| laser additive manufacturing | |
| laser directed energy deposition | |
| laser powder bed fusion | |
| laser powder bed fusion (LPBF) | |
| limb salvage surgery | |
| machine learning | |
| magnesium alloys | |
| mechanical properties | |
| metal powders | |
| microhardness | |
| microstructure | |
| multi-layer perceptron | |
| n/a | |
| neural network | |
| nickel alloy | |
| parametrisation | |
| part density | |
| particle morphology | |
| particle size distribution | |
| plasma metal deposition | |
| porosity | |
| powder | |
| powder layer density | |
| powder metallurgy | |
| powder spreading | |
| powder-bed additive manufacturing (AM) | |
| preheating | |
| pressure drop | |
| process modelling | |
| processing conditions | |
| properties | |
| recycled | |
| revision | |
| rough surface | |
| sand casting | |
| selective laser melting | |
| selective laser melting (SLM) | |
| simulated body fluid | |
| spreading process map | |
| surface textures | |
| thin wall manufacturing | |
| TiC-TMC | |
| titanium | |
| topology optimization | |
| tribological behavior | |
| ultrasonic testing | |
| ultrasonic vibration | |
| virgin | |
| visual features | |
| weld reinforcement | |
| Persona (resp. second.): | ErtasAtila |
| Sommario/riassunto: | This Special Issue book covers a wide scope in the research field of 3D-printing, including: the use of 3D printing in system design; AM with binding jetting; powder manufacturing technologies in 3D printing; fatigue performance of additively manufactured metals, such as the Ti-6Al-4V alloy; 3D-printing methods with metallic powder and a laser-based 3D printer; 3D-printed custom-made implants; laser-directed energy deposition (LDED) process of TiC-TMC coatings; Wire Arc Additive Manufacturing; cranial implant fabrication without supports in electron beam melting (EBM) additive manufacturing; the influence of material properties and characteristics in laser powder bed fusion; Design For Additive Manufacturing (DFAM); porosity evaluation of additively manufactured parts; fabrication of coatings by laser additive manufacturing; laser powder bed fusion additive manufacturing; plasma metal deposition (PMD); as-metal-arc (GMA) additive manufacturing process; and spreading process maps for powder-bed additive manufacturing derived from physics model-based machine learning. |
| Titolo autorizzato: | Additive Manufacturing Research and Applications ![]() |
| Formato: | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione: | Inglese |
| Record Nr.: | 9910576882303321 |
| Lo trovi qui: | Univ. Federico II |
| Opac: | Controlla la disponibilità qui |