Internal Combustion Engines Improving Performance, Fuel Economy and Emissions

doi:10.3390/books978-3-03936-169-4

Download Url(s)

https://mdpi.com/books/pdfview/book/2930

Contributor(s)

Millo, Federico (editor)

Postrioti, Lucio (editor)

Language

English

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Abstract

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.

URI

https://directory.doabooks.org/handle/20.500.12854/69158

Keywords

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