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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 online resource (272 p.) |
| Soggetto topico | Technology: general issues |
| Soggetto non controllato |
AA2024 floor milling
aluminium AWJM (abrasive water jet machining) AZ91D burr C/TPU (carbon/thermoplastic polyurethane) Ca treatment carbide tool carbon dioxide snow cemented carbide CFRTP (carbon fiber-reinforced thermoplastics) Chemical Vapor Deposition (CVD) chip breakability chip segmentation circular run-out coated cemented carbide coated tools concentricity cutting energy cutting forces cylindricity damage modeling dry dry drilling dry turning dynamic strain aging finishing turning flexible vacuum fixture Haynes 282 hole repair hybrid structure liquid nitrogen machinability machining machining simulation magnesium alloy milling minimum quantity Lubricant (MQL) multilayer multilayered coatings n/a nanolayer nanolayered coatings non-metallic inclusions optimization parallelism part quality Physical Vapor Deposition (PVD) Ra re-drilling roughness roundness Rz segmented chip solid tools stainless steel straightness surface integrity surface quality surface roughness thin plates thin-wall TiAlN TiAlN-based coatings tool coating tool damage tool edge preparation tool life total run-out turning turning process turning tools UNS A97075 UNS M11917 vibrations wear mechanism wear mechanisms weight distribution |
| 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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