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Internal Combustion Engines Improving Performance, Fuel Economy and Emissions
| Internal Combustion Engines Improving Performance, Fuel Economy and Emissions |
| Autore | Millo Federico |
| Pubbl/distr/stampa | Basel, Switzerland, : MDPI - Multidisciplinary Digital Publishing Institute, 2020 |
| Descrizione fisica | 1 electronic resource (324 p.) |
| Soggetto topico | History of engineering & technology |
| Soggetto non controllato |
homogeneous charge compression ignition (HCCI)
exhaust gas recirculation (EGR) dual-fuel dimethyl ether (DME) exhaust emission co-combustion dual fuel combustion stability coefficient of variation of IMEP probability density of IMEP 0D model predictive model tumble turbulent intensity spark-ignition engine engine geometry AdBlue® injection large eddy simulation Eulerian–Lagrangian approach thermal decomposition wall–film formation conversion efficiency hybrid electric vehicle real driving emissions fuel consumption vehicle performance electric supercharger Lambda-1 engine 48 V Mild Hybrid electrically assisted turbocharger variable geometry turbocharger-exhaust gas recirculation oxygen concentration active disturbance rejection control model-based control diesel engine ANN physics-based model semi-empirical model CNG diesel fuel dual fuel engine rate of heat release ignition delay burn duration exhaust gas emission camless electromagnetic variable valve train magnetorheological buffer soft landing solenoid injectors indirect-acting piezoelectric injectors direct-acting piezoelectric injectors engine-out emissions combustion noise diesel engines pollutant emission reduction mixing process advanced injection strategy varying injection rate engine torque estimation GDI engines extended state observer online performance torque nitrogen oxide emissions model-based control engines numerical simulation pollutant emissions prediction computational fluid dynamics |
| Formato | Materiale a stampa  |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Record Nr. | UNINA-9910557521503321 |
Millo Federico
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| Basel, Switzerland, : MDPI - Multidisciplinary Digital Publishing Institute, 2020 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
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Mathematical Approaches to Modeling, Optimally Designing, and Controlling Electric Machine
| Mathematical Approaches to Modeling, Optimally Designing, and Controlling Electric Machine |
| Autore | Prakht Vladimir |
| Pubbl/distr/stampa | Basel, Switzerland, : MDPI - Multidisciplinary Digital Publishing Institute, 2021 |
| Descrizione fisica | 1 electronic resource (300 p.) |
| Soggetto topico | Technology: general issues |
| Soggetto non controllato |
demagnetization
electric machine flux reversal machine high-speed electrical machine high-speed electrical motor Nelder–Mead method optimal design switched reluctance motor direct instantaneous torque control numerical analysis optimization current angle design of electric motors flux-barriers synchronous reluctance motor torque ripple induction motor model predictive sensorless high performance switched reluctance machine NSGA-II optimization finite element analysis direct-drive electric machine analysis computing interior permanent magnet machine mathematical model optimal-design permanent magnet flux-switching machine wind generator doubly fed induction generator DC-link voltage regulation second-order sliding mode control extended state observer fuzzy gain scheduling advanced metaheuristics MO-Jaya optimization centrifugal pump energy efficiency parallel pumps throttling variable speed pump synchronous homopolar machine synchronous homopolar motor traction drives traction motor high-harmonic injection brushless field excitation wound field synchronous machines Axial flux permanent magnet machine 3D FEA Genetic algorithm hexagonal-shaped PMs PM overhang brushless topology third harmonic flux dc offset direct-on-line permanent magnet synchronous motor direct-on-line synchronous reluctance motor permanent magnet motor reactive power compensation carbon dioxide emissions climate change mitigation electric motors energy conversion energy efficiency class energy policy and regulation energy saving sustainable utilization of resources synchronous motor adaptive control MTPA control parameter variation constraints design mining dump truck traction drive |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Record Nr. | UNINA-9910557443203321 |
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Prakht Vladimir
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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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