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Book
Internal Combustion Engines Improving Performance, Fuel Economy and Emissions
Authors: ---
Year: 2020 Publisher: Basel, Switzerland MDPI - Multidisciplinary Digital Publishing Institute

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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.

Keywords

History of engineering & technology --- 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 --- 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


Book
Internal Combustion Engines Improving Performance, Fuel Economy and Emissions
Authors: ---
Year: 2020 Publisher: Basel, Switzerland MDPI - Multidisciplinary Digital Publishing Institute

Loading...
Export citation

Choose an application

Bookmark

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.

Keywords

History of engineering & technology --- 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


Book
Internal Combustion Engines Improving Performance, Fuel Economy and Emissions
Authors: ---
Year: 2020 Publisher: Basel, Switzerland MDPI - Multidisciplinary Digital Publishing Institute

Loading...
Export citation

Choose an application

Bookmark

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.

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

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