Archive | 2021
Exploring the Synergistic Potential of Fuzzy Methodology Based Multi-Objective Optimisation in the Performance, Emission and Stability Trade-Off Study of an Existing Conventional CRDI Diesel Engine Powered With Schleichera Oleosa Biodiesel/Diesel Blends
Abstract
\n The common rail direct injection diesel engine is an advanced combustion method to use alternative fuel with higher fuel economy and, reduce NOx and soot emissions. The present paper aims to investigate the influence of Schleichera oleosa oil (Kusum oil) on CRDI engine performance. This paper deals with the study on the influence of the Schleichera oleosa oil (Kusum oil) when added to diesel blend (B25, B50, B75, B100) on the emission, combustion and performance characteristics of a four stroke, single cylinder, common rail direct injection diesel engine working at a fixed speed and varying operating scenarios. The mixture of kusum oil blend and air is ignited by diesel through fuel injector into the combustion chamber at the end of compression stroke. It is noticed from the experimental results that, with an increase of kusum oil in the blends, ignition delay (ID) increases and start of combustion (SOC) is retarded. It is noticed that B100 shows the highest ID and low in-cylinder pressure; however, B50 shows the lowest ID compared to higher fractions of biodiesel blends. An increase in biodiesel proportion reduces NOx and smoke opacity but, HC and CO emissions increase compared to pure diesel mode engine. B25 shows the highest brake thermal efficiency (12%) compared to remaining biodiesel blends and baseline diesel engine. For finding optimum blend for lower BSFC, NOx, UHC and higher BTE Taguchi method is considered. Then Fuzzy rule is considered for two inputs parameters (load and fuel blend) and single output variable (MPCI). By considering multi-objective optimization technique, it is found that B25 blend has optimal MPCI value (0.68) which makes it best blend for enhancing the performance and lowering the emissions.