TOPSIS multi-criteria decision modeling approach for biolubricant selection for two-stroke petrol engines

Soufi, Masoud Dehghani and Ghobadian, Barat and Najafi, Gholamhassan and Sabzimaleki, Mohammad Reza and Yusaf, Talal (2015) TOPSIS multi-criteria decision modeling approach for biolubricant selection for two-stroke petrol engines. Energies, 8 (12). pp. 13960-13970.

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Exhaust pollutants from two-stroke petrol engines are a problem for the environment. Biolubricants are a new generation of renewable and eco-friendly vegetable-based lubricants, which have attracted a lot of attention in recent years. In this paper, the applicability of the Technique for Order of Preference by Similarity to Ideal Solution (TOPSIS) method to support the process of building the scoring system for selecting an appropriate two-stroke lubricant has been analyzed. For this purpose, biolubricants (TMP-triesters) based on castor oil, palm oil, and waste cooking oil were produced and then utilized in a 200 cc two-stroke gasoline engine to investigate their effects on its performance and exhaust emissions. The results obtained from the use of the entropy technique in the TOPSIS algorithm showed that palm oil-based lubricant took up the greatest distance from the Negative Ideal Solution (NIS) and was selected as the most optimal lubricant for these types of engines.

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Item Type: Article (Commonwealth Reporting Category C)
Refereed: Yes
Item Status: Live Archive
Additional Information: Published version deposited in accordance with the copyright policy of the publisher.
Faculty/School / Institute/Centre: Current - Faculty of Health, Engineering and Sciences - School of Mechanical and Electrical Engineering
Date Deposited: 11 Apr 2017 05:58
Last Modified: 10 Feb 2019 23:59
Uncontrolled Keywords: biolubricants; engine oil; technique for order of preference by similarity to ideal solution (TOPSIS); two-stroke; multicriteria decision; negative-ideal solutions; oil based lubricant; two stroke gasoline engine; petroleum deposits; liquid fuels; lubricants; organic compounds; petroleum engineering
Fields of Research : 09 Engineering > 0902 Automotive Engineering > 090201 Automotive Combustion and Fuel Engineering (incl. Alternative/Renewable Fuels)
Identification Number or DOI: 10.3390/en81212408

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