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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 electronic resource (539 p.) |
| Soggetto topico | Technology: general issues |
| Soggetto non controllato |
centrifugal fan
noise characteristics power consumption negative pressure sound pressure mechanical seal dynamic characteristics extrusion fault numerical simulation sealing performance fluent inducer step casing varying pitch cavitating flow and instabilities partial similarity principle flow similarity stability improvement multi-condition optimization cavitation performance artificial neural networks (ANN) net positive suction head (NPSH) double suction cascade aerodynamic parameterization plane cascade design incidence angle PSO-MVFSA optimization two-vane pump Computational Fluid Dynamics (CFD) Reynolds-averaged Navier-Stokes (RANS) machine learning energy recovery pump as turbine vortex hydraulic losses pressure fluctuation transient characteristics centrifugal pump startup period solar air heater ribs Nusselt number friction factor Reynolds-averaged Navier-Stokes equations thrust coefficient power coefficient figure of merit frozen rotor UAV octorotor SUAV aerodynamic performance rotor spacing hover CFD vortices distribution shape optimization Francis turbine fixed flow passage flow uniformity blade outlet angle Sirocco fan URANS volute tongue radius internal flow noise film cooling large eddy simulation triple holes blowing ratio adiabatic film-cooling effectiveness proper orthogonal decomposition axial compressor tip clearance flow field clearance flow function gas turbine leakage pressure ratio stepped labyrinth seal axial-flow pump root clearance radius computational fluid dynamics entropy production energy dissipation vortex pump lateral cavity open-design spiral flow reactor coolant pump (RCP) waviness leakage rate liquid film axial fan reversible jet design thrust energy characteristics mixing pitched blade turbine impeller inverse design method matching optimization diffuser small hydropower tubular turbine fish farm performance test design factors optimum model the mixed free-surface-pressurized flow characteristic implicit method relative roughness vent holes optimization control microchannel heat sink wavy microchannel groove heat transfer performance laminar flow multi-objective optimization LHS full factorial methods pump-turbine dynamic stress start-up process vortex generator (VG) computational fluid dynamics (CFD) cell-set model RANS LES multistage centrifugal pump double-suction impeller twin-volute inducer-type guide vane trailing edge flap (TEF) trailing edge flap with Micro-Tab deflection angle of the flap (αF) |
| 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 electronic resource (244 p.) |
| Soggetto topico |
Research & information: general
Chemistry |
| Soggetto non controllato |
gelatin methacryloyl
osteoinduction tannic acid crosslinking hydrogel biodegradable poly(3-hydroxybutyrate) chitosan electrospinning thermal oxidation biodegradation Sturm's method biodegradation rates arterial hypertension vertebral cartilage rhomboid fossa anaerobic digestion biosorbent biostimulant magnetite nanoparticles kinetic model polyvinyl chloride (PVC) pyrolysis thermogravimetric analysis (TGA) kinetics thermodynamics artificial neural networks (ANN) mechanochemical method recycled polyurethane foam orthogonal test tensile strength thermal conductivity enzymatic hydrolysis deep eutectic solvents polyethylene terephthalate Box-Behnken design microwave depolymerization biodegradable polyester ultrafine electrospun fibers tetraphenylporphyrin metalloporphyrin complexes Fe(III) Sn(IV) X-ray diffraction DSC spin probe EPR method SEM biopolymeric nanoparticles synthesis applications medicine agriculture mechanical recycling closed-loop polyolefins circular testing polymer degradation epoxy resin composite material hygrothermal ageing water diffusion Fick model deviation statistical analysis box plot PCA titanium silicon oxide hydrolytic degradation titania silica antimicrobial activity photocatalytic degradation |
| 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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