Please use this identifier to cite or link to this item: http://nopr.niscair.res.in/handle/123456789/55207
Title: Optimization of Chlorella vulgaris Biodiesel usage in Diesel Engine
Authors: Sathish, T
Keywords: Algae oil;Taguchi;Grey relational analysis;RSM
Issue Date: Aug-2020
Publisher: NISCAIR-CSIR, India
Abstract: The experimental investigation has been carried out on the diesel engine using Chlorella vulgaris algal biodiesel as blends with neat diesel. Two input parameters, such as load and fuel and four reaction parameters such as hydrocarbons (HC), carbon monoxide (CO), nitrogen oxides (NOx), and smoke, were used for the emissions on the engine. The experimental results show that there's been less pollution from using algae oil blend in the diesel engine. It is employed to find the optimum level for multi-objective prediction carried out for CO, HC, NOx, and smoke. The outcomes after grey relational analysis (GRA) were tested using the response surface methodology (RSM), wherein the optimal combination has been found out using a particular behaviour.
Page(s): 750-752
URI: http://nopr.niscair.res.in/handle/123456789/55207
ISSN: 0975-1084 (Online); 0022-4456 (Print)
Appears in Collections:JSIR Vol.79(08) [August 2020]

Files in This Item:
File Description SizeFormat 
JSIR 79(8) 750-752.pdf612.95 kBAdobe PDFView/Open


Items in NOPR are protected by copyright, with all rights reserved, unless otherwise indicated.