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Metal Machining-Recent Advances, Applications and Challenges
| Metal Machining-Recent Advances, Applications and Challenges |
| Autore | Silva Francisco J. G |
| Pubbl/distr/stampa | Basel, Switzerland, : MDPI - Multidisciplinary Digital Publishing Institute, 2021 |
| Descrizione fisica | 1 electronic resource (272 p.) |
| Soggetto topico | Technology: general issues |
| Soggetto non controllato |
magnesium alloy
UNS M11917 AZ91D hole repair surface roughness dry drilling re-drilling thin plates thin-wall machining aluminium cutting forces roughness dry carbide tool Haynes 282 finishing turning UNS A97075 dry turning surface integrity straightness parallelism roundness concentricity circular run-out total run-out cylindricity tool edge preparation segmented chip machining simulation burr optimization turning process turning tools solid tools cemented carbide coated tools coated cemented carbide Physical Vapor Deposition (PVD) Chemical Vapor Deposition (CVD) multilayered coatings nanolayered coatings wear mechanism tool life minimum quantity Lubricant (MQL) cutting energy tool damage liquid nitrogen carbon dioxide snow vibrations part quality flexible vacuum fixture AA2024 floor milling chip segmentation damage modeling dynamic strain aging stainless steel Ca treatment machinability turning chip breakability weight distribution non-metallic inclusions AWJM (abrasive water jet machining) CFRTP (carbon fiber-reinforced thermoplastics) hybrid structure surface quality Ra Rz C/TPU (carbon/thermoplastic polyurethane) milling tool coating TiAlN TiAlN-based coatings multilayer nanolayer wear mechanisms |
| Formato | Materiale a stampa  |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Record Nr. | UNINA-9910557722103321 |
Silva Francisco J. G
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| Basel, Switzerland, : MDPI - Multidisciplinary Digital Publishing Institute, 2021 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
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Modeling, Optimization and Design Method of Metal Manufacturing Processes
| Modeling, Optimization and Design Method of Metal Manufacturing Processes |
| Autore | Zhang Guoqing |
| Pubbl/distr/stampa | Basel, : MDPI - Multidisciplinary Digital Publishing Institute, 2022 |
| Descrizione fisica | 1 electronic resource (214 p.) |
| Soggetto topico |
Business strategy
Manufacturing industries |
| Soggetto non controllato |
machine learning
reinforcement learning Q-learning steelmaking process CAS-OB decision-support system optimisation algorithm 3D auxetic structures selective laser melting micro assembled structural surface layer model A380 alloy Ca AlFeSi phase refine micro-cutting grain size surface integrity cutting forces chip formation OFHC copper C102 amorphous alloys Fe-based amorphous alloys difficult-to-machine assisted machining high-frequency PCB drilling coating technology tool wear hot filament chemical vapor deposition PCBN tool gray cast iron surface quality temperature prediction weighted regularized extreme learning machine just-in-time learning sample similarities variable correlations tool edge preparation orthogonal cutting numerical simulation ANOVA temperature stress ECAP metallic materials processing parameters deformation mechanism |
| ISBN | 3-0365-6033-5 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Record Nr. | UNINA-9910639996303321 |
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Zhang Guoqing
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| Basel, : MDPI - Multidisciplinary Digital Publishing Institute, 2022 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
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