Autore: |
Millo Federico
|
Titolo: |
Internal Combustion Engines Improving Performance, Fuel Economy and Emissions
|
Pubblicazione: |
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) |
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dual-fuel |
|
dimethyl ether (DME) |
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exhaust emission |
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co-combustion |
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dual fuel |
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combustion stability |
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coefficient of variation of IMEP |
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probability density of IMEP |
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0D model |
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predictive model |
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tumble |
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turbulent intensity |
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spark-ignition engine |
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engine geometry |
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AdBlue® injection |
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large eddy simulation |
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Eulerian–Lagrangian approach |
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thermal decomposition |
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wall–film formation |
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conversion efficiency |
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hybrid electric vehicle |
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real driving emissions |
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fuel consumption |
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vehicle performance |
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electric supercharger |
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Lambda-1 engine |
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48 V Mild Hybrid |
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electrically assisted turbocharger |
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variable geometry turbocharger-exhaust gas recirculation |
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oxygen concentration |
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active disturbance rejection control |
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model-based |
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control |
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diesel engine |
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ANN |
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physics-based model |
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semi-empirical model |
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CNG |
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diesel fuel |
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dual fuel engine |
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rate of heat release |
|
ignition delay |
|
burn duration |
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exhaust gas emission |
|
camless |
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electromagnetic variable valve train |
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magnetorheological buffer |
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soft landing |
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solenoid injectors |
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indirect-acting piezoelectric injectors |
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direct-acting piezoelectric injectors |
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engine-out emissions |
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combustion noise |
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diesel engines |
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pollutant emission reduction |
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mixing process |
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advanced injection strategy |
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varying injection rate |
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engine torque estimation |
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GDI engines |
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extended state observer |
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online performance |
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torque |
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nitrogen oxide emissions |
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model-based control |
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engines |
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numerical simulation |
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pollutant emissions prediction |
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computational fluid dynamics |
Persona (resp. second.): |
PostriotiLucio |
|
MilloFederico |
Sommario/riassunto: |
This Special Issue, consisting of 14 papers, presents the latest findings concerning both numerical and experimental investigations. Their aim is to achieve a reduction in pollutant emissions, as well as an improvement in fuel economy and performance, for internal combustion engines. This will provide readers with a comprehensive, unbiased, and scientifically sound overview of the most recent research and technological developments in this field. More specific topics include: 3D CFD detailed analysis of the fuel injection, combustion and exhaust aftertreatments processes, 1D and 0D, semi-empirical, neural network-based control-oriented models, experimental analysis and the optimization of both conventional and innovative combustion processes. |
Titolo autorizzato: |
Internal Combustion Engines Improving Performance, Fuel Economy and Emissions |
Formato: |
Materiale a stampa |
Livello bibliografico |
Monografia |
Lingua di pubblicazione: |
Inglese |
Record Nr.: | 9910557521503321 |
Lo trovi qui: | Univ. Federico II |
Opac: |
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