Performance, Combustion and Emission analysis of pongamia oil of Biodiesel engine with an nano additives: an Experimental Study

DOI: https://doie.org/10.0618/Jbse.2024674025

Kumara B , C R Raghavendra

Keywords:

Random Forest, Neural networks, Dataset, RF algorithm, Regression

Abstract:

The urgent need to find alternative fuel sources for internal combustion engines arises from the swift exhaustion of crude oil reserves and the resulting environmental harm. Biodiesel emerges as a hopeful contender for compression ignition Biodiesel engines owing to its favorable heat content and combustion characteristics. Employed in a wide range of vehicles and machinery including cars, trucks, buses, off-road vehicles, and oil furnaces, Biodiesel blends offer significant emissions reduction potential of up to 77% from Biodiesel engines while also enhancing engine longevity due to their superior lubricating properties. However, biodiesel presents certain limitations, such as diminished performance and heightened nitrogen oxide emissions. As a result, the focus of this research is to explore the utilization of locally accessible biodiesel in a low-heat rejection engine, supplemented with nano additives, with the objective of enhancing performance while mitigating nitrogen oxide emissions. India presently boasts numerous biodiesel sources, encompassing vegetable oil and pongamia oil, which can be efficiently harnessed in Biodiesel engines through the incorporation of fatty acid ester and glycerol. The valid experimental setup comprises a single-cylinder 4-stroke water-cooled Biodiesel engine generating 5.2 kW of power. A water-cooled piezoelectric pickup, with a range from 0 to 250 bar, was installed on the cylinder head to measure engine cylinder pressure. Crankshaft position was determined using an optical crank angle (CA) encoder (Manufacturer: Kistler, Model: Type 2613B) to measure cylinder pressure at various crank angles. Both coated and uncoated engines underwent testing with varying proportions of pongamia oil. The key findings demonstrate a significant enhancement in engine performance across all loads compared to the baseline engine. Furthermore, when combined with L-ascorbic acid, these Biodiesels exhibit a notable reduction in nitrogen oxide emissions.

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