NDLI: Impact of tamanu oil-diesel blend on combustion, performance and emissions of diesel engine and its prediction methodology

Content Provider	Springer Nature Link
Author	Yarrapragada, K. S. S. Rao Krishna, B. Bala
Copyright Year	2016
Abstract	Biofuels are proven for its environment friendliness, but they are not completely effective in reducing the emissions due to the problems in blending ratio, compression ratio (CR) and fuel consumption. Moreover, identifying new oil with appropriate blends of diesel is the prerequisite for reducing greenhouse gas emissions, without compromising the mechanical efficiency. Inspired from the special biofuel characteristics, this paper contributes to the literature through improving the diesel engine performance using tamanu oil (TO)-based biodiesel blend. Firstly, the TO-based biodiesel is blended with the conventional diesel to produce two blending ratios, namely 5:95 and 10:90. The blends are experimentally studied for its combustion characteristics, mechanical efficiency and the emission characteristics on a single cylinder four-stroke diesel engine. The results demonstrate the minimized emissions with no sort of compromise on the engine performance. Secondly, this paper proposes an interpolation and prediction model using artificial neural network through which the mechanical efficiency and the emission characteristics of the TO blends can be estimated. The deviation between the actual and the estimated characteristics is found to be less and so the proposed prediction model can act as an equivalent engine model for further works.
Starting Page	1797
Ending Page	1811
Page Count	15
File Format	PDF
ISSN	16785878
Journal	Journal of the Brazilian Society of Mechanical Sciences and Engineering
Volume Number	39
Issue Number	5
e-ISSN	18063691
Language	English
Publisher	Springer Berlin Heidelberg
Publisher Date	2016-08-08
Publisher Place	Berlin, Heidelberg
Access Restriction	One Nation One Subscription (ONOS)
Subject Keyword	Combustion ratio Diesel engine TO Mechanical Engineering Biodiesel
Content Type	Text
Resource Type	Article
Subject	Applied Mathematics Industrial and Manufacturing Engineering Automotive Engineering Mechanical Engineering Aerospace Engineering

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