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CFD Based Researches and Applications for Fluid Machinery and Fluid Device
| CFD Based Researches and Applications for Fluid Machinery and Fluid Device |
| Autore | Kim Jin-Hyuk |
| Pubbl/distr/stampa | Basel, Switzerland, : MDPI - Multidisciplinary Digital Publishing Institute, 2021 |
| Descrizione fisica | 1 online resource (539 p.) |
| Soggetto topico | Technology: general issues |
| Soggetto non controllato |
adiabatic film-cooling effectiveness
aerodynamic aerodynamic performance artificial neural networks (ANN) axial compressor axial fan axial-flow pump blade outlet angle blowing ratio cascade cavitating flow and instabilities cavitation performance cell-set model centrifugal fan centrifugal pump CFD characteristic implicit method clearance computational fluid dynamics computational fluid dynamics (CFD) Computational Fluid Dynamics (CFD) deflection angle of the flap (αF) design design factors diffuser double suction double-suction impeller dynamic characteristics dynamic stress energy characteristics energy dissipation energy recovery entropy production extrusion fault figure of merit film cooling fish farm fixed flow passage flow field flow function flow similarity flow uniformity fluent Francis turbine friction factor frozen rotor full factorial methods gas turbine groove heat transfer performance hover hydraulic losses impeller incidence angle inducer inducer-type guide vane internal flow inverse design method jet laminar flow large eddy simulation lateral cavity leakage leakage rate LES LHS liquid film machine learning matching optimization mechanical seal microchannel heat sink mixing multi-condition optimization multi-objective optimization multistage centrifugal pump n/a negative pressure net positive suction head (NPSH) noise noise characteristics numerical simulation Nusselt number octorotor SUAV open-design optimization optimization control optimum model parameterization partial similarity principle performance test pitched blade turbine plane cascade design power coefficient power consumption pressure fluctuation pressure ratio proper orthogonal decomposition PSO-MVFSA pump as turbine pump-turbine RANS reactor coolant pump (RCP) relative roughness reversible Reynolds-averaged Navier-Stokes (RANS) Reynolds-averaged Navier-Stokes equations ribs root clearance radius rotor spacing sealing performance shape optimization Sirocco fan small hydropower solar air heater sound pressure spiral flow stability improvement start-up process startup period step casing stepped labyrinth seal the mixed free-surface-pressurized flow thrust thrust coefficient tip clearance trailing edge flap (TEF) trailing edge flap with Micro-Tab transient characteristics triple holes tubular turbine twin-volute two-vane pump UAV URANS varying pitch vent holes volute tongue radius vortex vortex generator (VG) vortex pump vortices distribution waviness wavy microchannel |
| Formato | Materiale a stampa  |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Record Nr. | UNINA-9910557785803321 |
Kim Jin-Hyuk
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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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Natural Degradation: Polymer Degradation under Different Conditions
| Natural Degradation: Polymer Degradation under Different Conditions |
| Autore | Vetcher Alexandre |
| Pubbl/distr/stampa | MDPI - Multidisciplinary Digital Publishing Institute, 2022 |
| Descrizione fisica | 1 online resource (244 p.) |
| Soggetto topico |
Chemistry
Research & information: general |
| Soggetto non controllato |
agriculture
anaerobic digestion antimicrobial activity applications arterial hypertension artificial neural networks (ANN) biodegradable biodegradable polyester biodegradation biodegradation rates biopolymeric nanoparticles biosorbent biostimulant box plot Box-Behnken design chitosan circular testing closed-loop composite material crosslinking deep eutectic solvents DSC electrospinning enzymatic hydrolysis epoxy resin Fe(III) Fick model deviation gelatin methacryloyl hydrogel hydrolytic degradation hygrothermal ageing kinetic model kinetics magnetite mechanical recycling mechanochemical method medicine metalloporphyrin complexes microwave depolymerization n/a nanoparticles orthogonal test osteoinduction PCA photocatalytic degradation poly(3-hydroxybutyrate) polyethylene terephthalate polymer degradation polyolefins polyvinyl chloride (PVC) pyrolysis recycled polyurethane foam rhomboid fossa SEM silica Sn(IV) spin probe EPR method statistical analysis Sturm's method synthesis tannic acid tensile strength tetraphenylporphyrin thermal conductivity thermal oxidation thermodynamics thermogravimetric analysis (TGA) titania titanium silicon oxide ultrafine electrospun fibers vertebral cartilage water diffusion X-ray diffraction |
| ISBN | 3-0365-5134-4 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Altri titoli varianti | Natural Degradation |
| Record Nr. | UNINA-9910619470403321 |
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Vetcher Alexandre
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| MDPI - Multidisciplinary Digital Publishing Institute, 2022 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
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Recent Advances and Applications of Machine Learning in Metal Forming Processes
| Recent Advances and Applications of Machine Learning in Metal Forming Processes |
| Autore | Prates Pedro |
| Pubbl/distr/stampa | Basel, : MDPI - Multidisciplinary Digital Publishing Institute, 2022 |
| Descrizione fisica | 1 electronic resource (210 p.) |
| Soggetto topico |
Technology: general issues
History of engineering & technology Mining technology & engineering |
| Soggetto non controllato |
sheet metal forming
uncertainty analysis metamodeling machine learning hot rolling strip edge defects intelligent recognition convolutional neural networks deep-drawing kriging metamodeling multi-objective optimization FE (Finite Element) AutoForm robust analysis defect prediction mechanical properties prediction high-dimensional data feature selection maximum information coefficient complex network clustering ring rolling process energy estimation metal forming thermo-mechanical FEM analysis artificial neural network aluminum alloy mechanical property UTS topological optimization artificial neural networks (ANN) machine learning (ML) press-brake bending air-bending three-point bending test sheet metal buckling instability oil canning artificial intelligence convolution neural network hot rolled strip steel defect classification generative adversarial network attention mechanism deep learning mechanical constitutive model finite element analysis plasticity parameter identification full-field measurements |
| ISBN | 3-0365-5772-5 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Record Nr. | UNINA-9910637782503321 |
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Prates Pedro
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| Basel, : MDPI - Multidisciplinary Digital Publishing Institute, 2022 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
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