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Selection of Oil and best Bio-diesel Blend based on Performance and Emission Characteristics of IC Engine: An Integrated CRITIC-TOPSIS Approach

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Title Selection of Oil and best Bio-diesel Blend based on Performance and Emission Characteristics of IC Engine: An Integrated CRITIC-TOPSIS Approach
 
Creator Saravanakumar, K
Robinson, Y
Madhu, P
Mathew, Manoj
 
Subject Engine analysis
MCDM
Ranking
Suitability
Vegetable oils
 
Description 1342-1352
Selection of optimum bio-diesel blend for internal combustion (IC) engine is crucial. The process of selecting the ideal
blend requires a multidimensional analysis. In order to tackle the challenge, an efficient decision-making strategy is
required. This paper uses the Multi-Criteria Decision-Making (MCDM) method to offer the selection of a suitable oil and
bio-diesel blend based on the performance of the diesel engine under various load circumstances. In order to measure the
weights of evaluating criteria, Criteria Importance Through Intercriteria Correlation (CRITIC) and Technique for Order of
Preference by Similarity to an Ideal Solution (TOPSIS) are used. At first, seven different oils and seven assessment
parameters, namely kinematic viscosity, cetane number, heating value, cloud point, pour point, flash point and density are
attempted to select the acceptable oil for making bio-diesel. Next, the ranking of bio-diesel blends is performed based on the
evaluation criteria, namely Brake Thermal Efficiency (BTE), Exhaust Gas Temperature (EGT), nitrogen oxide (NOx),
smoke, carbon monoxide (CO), carbon dioxide (CO2) and hydrocarbon (HC) emissions. The results show that hemp seed oil
is closer to diesel and higher in ranking. The recommended order of blend is B20 > Diesel > B40 > B60 > B80 > B100. The
study indicated that B20 is the optimum blend for diesel engines. In order to meet the economy and pollution standards for
the green revolution, decision-makers can use the new insights into MCDM approaches described in this article. This study
also demonstrates that the suggested methods for choosing the best bio-diesel blend differ from the existing literature.
 
Date 2022-12-07T11:25:13Z
2022-12-07T11:25:13Z
2022-12
 
Type Article
 
Identifier 0022-4456 (Print); 0975-1084 (Online)
http://nopr.niscpr.res.in/handle/123456789/60998
https://doi.org/10.56042/jsir.v81i12.47120
 
Language en
 
Publisher NIScPR-CSIR,India
 
Source JSIR Vol.81(12) [December 2022]