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dc.contributor.authorSathish, T-
dc.identifier.issn0975-1084 (Online); 0022-4456 (Print)-
dc.description.abstractThe 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.en_US
dc.publisherNISCAIR-CSIR, Indiaen_US
dc.rights CC Attribution-Noncommercial-No Derivative Works 2.5 Indiaen_US
dc.sourceJSIR Vol.79(08) [August 2020]en_US
dc.subjectAlgae oilen_US
dc.subjectGrey relational analysisen_US
dc.titleOptimization of Chlorella vulgaris Biodiesel usage in Diesel Engineen_US
Appears in Collections:JSIR Vol.79(08) [August 2020]

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