Mathematical Modeling and Experimental Analysis of Biodiesel-Fueled Diesel HCCI Engine
Intensification in energy demand, depletion of oil resources and Arrival of rigorous emission norms have instigated the researchers to determine alternative fuels and combustion technology for internal combustion engines. Biodiesel is a substitute which is derived through transesterification process from animal fats or vegetable oils. Diesel engines have better fuel economy and durability advantages. Use of biodiesel gives higher NOx emission due to high combustion temperature from compression-ignition (CI) engine. Exhaust gas recirculation (EGR) and Homogenous Charge Compression Ignition ( HCCI ) is an effective scheme to reduce NOx from CI engine. The objective of this paper is to highlight the effect of EGR and HCCI on CI engine running on Diesel, Garcinia Indica (kokum) oil methyl esters biodiesel and its blends as fuel. In this paper, the results from experimental data is discussed to analysis the thermal aspects, emissions such as HC, CO, NOx, smoke. Mathematical model is developed base on experimental data by applying Buckingham's Pi-theorem. The mathematical model is developed for NOX and smoke using Buckingham's Pi-theorem. The mathematical model study concludes most sensitive π term and least sensitive π term and evaluated for knowing the more influence terms of the mathematical model. π3 (cetane number) is most sensitive π the term for EGR operation, and π2 (fuel properties and engine parameter) is most sensitive π the term for HCCI operation. The later part of this study deals with Field Emission Gun-Scanning Electron Microscopes (FEG-SEM) when operating on aforesaid biodiesels as fuels. HCCI combustion found to yield optimum engine emissions.