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Advanced Energy Harvesting Technologies
| Advanced Energy Harvesting Technologies |
| Autore | Zhu Dibin |
| Pubbl/distr/stampa | Basel, : MDPI - Multidisciplinary Digital Publishing Institute, 2022 |
| Descrizione fisica | 1 electronic resource (236 p.) |
| Soggetto topico |
Technology: general issues
History of engineering & technology |
| Soggetto non controllato |
piezoelectric harvester
orthoplanar spring trapezoidal leg vibration energy acoustic resonance closed side branch DDES wind energy harvester Autonomous Internet of Things vibration energy harvesting electromagnetic-mechanical modeling autonomous sensors self-powered device battery-less modules energy harvesting Wiegand sensor self-oscillating boost converter power management connected vehicles smart cities electric vehicle IoT Tesla triboelectric nanogenerators ocean wave artificial intelligence structural health monitoring TEG thermoelectricity thermal energy harvesting tracker wildlife animal ultra low power 3D printed vibration harvester electromagnetic hybrid photovoltaics solar panel highway urban street experimental investigation water solar still absorber silicon temperature dual resonance frequencies vibration electromagnetic energy harvester wide harvested frequency range enhanced "band-pass" harvested power independent resonant frequencies autonomous wireless sensor passive energy management weak vibration electromagnetic converter wideband planar spring voltage multiplier rectifier predictive maintenance failure detection WSN |
| Formato | Materiale a stampa  |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Record Nr. | UNINA-9910566464103321 |
Zhu Dibin
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| Basel, : MDPI - Multidisciplinary Digital Publishing Institute, 2022 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
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Computational Aerodynamic Modeling of Aerospace Vehicles
| Computational Aerodynamic Modeling of Aerospace Vehicles |
| Autore | Jenkins Karl |
| Pubbl/distr/stampa | MDPI - Multidisciplinary Digital Publishing Institute, 2019 |
| Descrizione fisica | 1 electronic resource (294 p.) |
| Soggetto non controllato |
numerical methods
modeling aerodynamics Taylor–Green vortex slender-body neural networks shock-channel wind gust responses installed propeller bifurcation RANS wake multi-directional bluff body MDO variable fidelity computational fluid dynamics (CFD) high angles of attack aeroelasticity computational fluid dynamics wind tunnel Godunov method flow control unsteady aerodynamic characteristics overset grid approach convolution integral MUSCL DDES dynamic Smagorinsky subgrid-scale model CPACS flutter reduced-order model meshing vortex generators hybrid reduced-order model microfluidics Riemann solver characteristics-based scheme CFD wing–propeller aerodynamic interaction kinetic energy dissipation Euler formation square cylinder multi-fidelity turbulence model subsonic large eddy simulation after-body flow distortion VLM numerical dissipation hypersonic modified equation analysis fluid mechanics reduced order aerodynamic model p-factor URANS flexible wings chemistry detection microelectromechanical systems (MEMS) angle of attack sharp-edge gust truncation error aerodynamic performance quasi-analytical gasdynamics discontinuous Galerkin finite element method (DG–FEM) geometry S-duct diffuser |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Record Nr. | UNINA-9910346677003321 |
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Jenkins Karl
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| MDPI - Multidisciplinary Digital Publishing Institute, 2019 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
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