Finite Element Analysis (FEA) is a powerful and well recognized tool used in the analysis of heat transfer problems. However, FEA can only analyze solid bodies and, by necessity thermal analysis with FEA is limited to conductive heat transfer. The other two types of heat transfer: convection and radiation must by approximated by boundary conditions. Modeling all three mechanisms of heat transfer without arbitrary assumption requires a combined use of FEA and Computational Fluid Dynamics (CFD).
India has gone through a lot of transformation over the last decade. Today it is the 6th largest and one of the fastest growing economies in the world. Rising income level, increased consumerism, rapid growth in urbanization and digitization have attributed to this change. Government focus on “Make in India” for promoting trade and investment in India have ensured that India emerge as one of the largest growing economies in the world. The automotive industry played a pivotal role in the manufacturing sector to boost economic activities in India. The passenger car market has increased 3 times over the last decade and it has led to increased mobility options for many people across India. However, this has put concerns on the country’s energy security and emission levels. According to IEA’s recent report on global CO2 emission, 32.31 Gt of CO2 emissions were from fuel combustion in 2016, out of which transport sector contributed ~25%.
Fuel economy is becoming one of the key parameter as it not only accounts for the profitability of commercial vehicle owner but also has impact on environment. Fuel economy gets affected from several parameters of engine such as Peak firing pressure, reduction in parasitic losses, improved volumetric efficiency, improved thermal efficiency etc. Compression ratio is one of key design criteria which affects most of the above mentioned parameters, which not only improve fuel efficiency but also results in improvement of emission levels. This paper evaluates the optimization of Compression ratio and study its effect on Engine performance. The parameters investigated in this paper include; combustion bowl volume in Piston and Cylinder head gasket thickness as these are major contributing factors affecting clearance volume and in turn the compression ratio of engine. Based on the calculation results, an optimum Compression Ratio for the engine is selected.
In a connected vehicle environment, the engine drive cycles operate in synchronized and regulated manner. This requires smooth transitions for improved CO_2 footprint. To arrive at this, there is need for intelligent and faster airpath control at transients. Authors aim to model and control every actuator of a coupled system in a synchronized manner with faster dynamic response. The turbocharger control is vital and forms heart of the system; This demands accurate position prediction of VTG. Deriving a control law for turbocharger is challenging due to the hybridized nature of turbocharger models in engine management system. It becomes extremely critical to estimate accurately, the position of VTG without introduction of any sensing devices. The control engineer always need to solve the trade-off between the controller performance KPI’s – rise time, transient response, controllability, observability and capability – stability and dynamics response etc.