LEADER 04578nam 2201201z- 450 001 9910557521503321 005 20231214133133.0 035 $a(CKB)5400000000044364 035 $a(oapen)https://directory.doabooks.org/handle/20.500.12854/69158 035 $a(EXLCZ)995400000000044364 100 $a20202105d2020 |y 0 101 0 $aeng 135 $aurmn|---annan 181 $ctxt$2rdacontent 182 $cc$2rdamedia 183 $acr$2rdacarrier 200 10$aInternal Combustion Engines Improving Performance, Fuel Economy and Emissions 210 $aBasel, Switzerland$cMDPI - Multidisciplinary Digital Publishing Institute$d2020 215 $a1 electronic resource (324 p.) 311 $a3-03936-168-6 311 $a3-03936-169-4 330 $aThis 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. 606 $aHistory of engineering & technology$2bicssc 610 $ahomogeneous charge compression ignition (HCCI) 610 $aexhaust gas recirculation (EGR) 610 $adual-fuel 610 $adimethyl ether (DME) 610 $aexhaust emission 610 $aco-combustion 610 $adual fuel 610 $acombustion stability 610 $acoefficient of variation of IMEP 610 $aprobability density of IMEP 610 $a0D model 610 $apredictive model 610 $atumble 610 $aturbulent intensity 610 $aspark-ignition engine 610 $aengine geometry 610 $aAdBlueŽ injection 610 $alarge eddy simulation 610 $aEulerian?Lagrangian approach 610 $athermal decomposition 610 $awall?film formation 610 $aconversion efficiency 610 $ahybrid electric vehicle 610 $areal driving emissions 610 $afuel consumption 610 $avehicle performance 610 $aelectric supercharger 610 $aLambda-1 engine 610 $a48 V Mild Hybrid 610 $aelectrically assisted turbocharger 610 $avariable geometry turbocharger-exhaust gas recirculation 610 $aoxygen concentration 610 $aactive disturbance rejection control 610 $amodel-based 610 $acontrol 610 $adiesel engine 610 $aANN 610 $aphysics-based model 610 $asemi-empirical model 610 $aCNG 610 $adiesel fuel 610 $adual fuel engine 610 $arate of heat release 610 $aignition delay 610 $aburn duration 610 $aexhaust gas emission 610 $acamless 610 $aelectromagnetic variable valve train 610 $amagnetorheological buffer 610 $asoft landing 610 $asolenoid injectors 610 $aindirect-acting piezoelectric injectors 610 $adirect-acting piezoelectric injectors 610 $aengine-out emissions 610 $acombustion noise 610 $adiesel engines 610 $apollutant emission reduction 610 $amixing process 610 $aadvanced injection strategy 610 $avarying injection rate 610 $aengine torque estimation 610 $aGDI engines 610 $aextended state observer 610 $aonline performance 610 $atorque 610 $anitrogen oxide emissions 610 $amodel-based control 610 $aengines 610 $anumerical simulation 610 $apollutant emissions prediction 610 $acomputational fluid dynamics 615 7$aHistory of engineering & technology 700 $aMillo$b Federico$4edt$0785845 702 $aPostrioti$b Lucio$4edt 702 $aMillo$b Federico$4oth 702 $aPostrioti$b Lucio$4oth 906 $aBOOK 912 $a9910557521503321 996 $aInternal Combustion Engines Improving Performance, Fuel Economy and Emissions$93033320 997 $aUNINA