Taguchi-Grey Relational Based Multi-Objective Optimization Of Process Parameters On The Emission And Fuel Consumption Characteristics Of A VCR Petrol Engine

Fuel economy and exhaust emission of automobiles have become the causes of concern these days owing to depletion of the non-renewable sources of energy at a global scale and due to global warming. This paper involves the multi-objective optimization of process parameters of a VCR Petrol Engine to ob...

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Bibliographic Details
Published in:Materials today : proceedings 2018, Vol.5 (2), p.4702-4710
Main Authors: Pathak, Apurba, P.K.Choudhury, Dutta, R.K.
Format: Article
Language:English
Subjects:
Analysis of Variance
Brake specific fuel consumption
Carbon monoxide
Grey Relational Analysis
Hydrocarbon
Signal to Noise ratio
Treatment condition
Variable Compression Ratio
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Summary:Fuel economy and exhaust emission of automobiles have become the causes of concern these days owing to depletion of the non-renewable sources of energy at a global scale and due to global warming. This paper involves the multi-objective optimization of process parameters of a VCR Petrol Engine to obtain minimum level of Hydrocarbon (HC) and Carbon-monoxide (CO) emission in the exhaust and Brake specific fuel consumption (BSFC). The control parameters were selected as compression ratio, spark advance, load, air-fuel ratio (in terms of number of turns of air screw) and fuel knocking tendency (in terms of octane rating of fuel). The experiments were carried out using Taguchi’s orthogonal array L27for the said five control parametersat three operating levels each. Using Grey Relational Analysis (GRA) the multi-objective optimization was performed to determine the optimal solution. Analysis of Variance (ANOVA) was carried out to determine the significant and contributing control parameter.In the study the interaction of factors was also considered. The optimum level of control parameters are found to be at 10:1 for compression ratio, 200 for spark Advance, 1.2 kW for load, 1 turn for air screw and fuel havingless knocking tendency. It was seen from the ranking of the process parameters that load is the most dominant factor on the output response followed by compression ratio and spark advance. From the ANOVA it was experienced that in case of HC emission compression ratio is the most significant factor followed by spark advance. For BSFC, load was the most significant factor followed by compression ratio, whereas in case of CO emission, number of turns of air screw was the only significant factor.
ISSN:2214-7853
2214-7853
DOI:10.1016/j.matpr.2017.12.042