Engineering Properties of Superconducting Materials
| Engineering Properties of Superconducting Materials |
| Autore | Coombs Tim |
| Pubbl/distr/stampa | Basel, Switzerland, : MDPI - Multidisciplinary Digital Publishing Institute, 2021 |
| Descrizione fisica | 1 online resource (136 p.) |
| Soggetto topico | Information technology industries |
| Soggetto non controllato |
AC and DC overcurrent
alternating current (AC) losses bulk superconductors coated conductors critical currents diamond anvil cell electrical conductivity electromagnetic-thermo-force coupling experiment field-circuit coupling method finite element method (FEM) flux pinning H-formulation high pressure high speed high-temperature superconducting bulk HTS hybrid high voltage direct current transmission system inductive fault current limiter iron-based superconductors magnetic flux shielding magnetic levitation mathematical modelling microstructure modeling multiphysics simulation numerical modeling phase transition pressure-induced metallization quench R-SFCL Raman spectroscopy resistive-type superconducting fault current limiter scheme design short-circuit fault superconducting coil superconducting material law superconducting tape transient simulation transient state Yttrium barium copper oxide materials |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Record Nr. | UNINA-9910557442103321 |
Coombs Tim
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| Basel, Switzerland, : MDPI - Multidisciplinary Digital Publishing Institute, 2021 | ||
| Lo trovi qui: Univ. Federico II | ||
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Machining Dynamics and Parameters Process Optimization
| Machining Dynamics and Parameters Process Optimization |
| Autore | Urbicain Gorka |
| Pubbl/distr/stampa | Basel, Switzerland, : MDPI - Multidisciplinary Digital Publishing Institute, 2021 |
| Descrizione fisica | 1 online resource (190 p.) |
| Soggetto topico | History of engineering and technology |
| Soggetto non controllato |
additive manufacturing
AI autoencoder B-spline curve-fitting bull-nose end mill chatter CNC parameters CNN complex part deep learning deep multi-layer perceptron dynamic performance dynamics evolution algorithms feedrate scheduling five-axis linear-segment toolpath flute-grinding grinding high accuracy high speed high surface quality homotopy perturbation method Industry 4.0 machine learning machining machining cycle optimization machining mode machining robot magnetorheological damper milling model optimization multivariable tool n/a natural frequency prediction path smoothing path synchronization stability stable peninsula thin walled machining thin-floor machining tool change policy tool condition monitoring tool wear monitoring wheel location and orientation |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Record Nr. | UNINA-9910557304603321 |
Urbicain Gorka
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| Basel, Switzerland, : MDPI - Multidisciplinary Digital Publishing Institute, 2021 | ||
| Lo trovi qui: Univ. Federico II | ||
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