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Advances in Micro and Nano Manufacturing: Process Modeling and Applications
| Advances in Micro and Nano Manufacturing: Process Modeling and Applications |
| Autore | Masato Davide |
| Pubbl/distr/stampa | Basel, : MDPI - Multidisciplinary Digital Publishing Institute, 2022 |
| Descrizione fisica | 1 online resource (204 p.) |
| Soggetto topico |
History of engineering & technology
Technology: general issues |
| Soggetto non controllato |
3D printing
abrasive grains active grains number additive manufacture additive manufacturing ANSYS brittle fracture burst processing chip formation conductive mask diamond turning dimensional uniformity ductile-brittle transition electrochemical machining femtosecond micromachining finite element analysis gel microspheres grinding force grinding forces grinding temperature hydrophilic acrylic intraocular lens ITAP K9 glass laser assisted turning laser-induced periodical surface structures lithography simulation machining localization material removal amount mathematical model MATLAB micro injection molding micro topology micro-groove micro-injection molding microelectromechanical system micromachining microstructure minimum chip thickness modular microfluidic system n/a nanogrinding polishing porous cathode prostheses radial ultrasonic rolling electrochemical micromachining (RUR-EMM) rake angle replication response surface methodology (RSM) spacing stereolithography subsurface damage surface roughness surface wettability tungsten carbide turning waveguide method |
| Formato | Materiale a stampa  |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Altri titoli varianti | Advances in Micro and Nano Manufacturing |
| Record Nr. | UNINA-9910557612503321 |
Masato Davide
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| Basel, : MDPI - Multidisciplinary Digital Publishing Institute, 2022 | ||
| 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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