MADM Algorithms for Optimization of Thermal Barrier Coatings Used in Two Stoke Externally Scavenged S.I. Engine with Experimental Validation

Abstract

It always has been a challenge for the researchers to increase the efficiency of IC engines. As per the study carried out by many researchers, various methods have been suggested to improve the performance of IC engine. Among these, some researchers have studied and introduced, although limited, varieties of Thermal Barrier Coatings (TBC) materials. Each of these TBC materials has their own properties. Among multiple TBC materials with their corresponding various properties, non-traditional, Multiple Attributes Decision-making Methods (MADM) such as Simple Additive Weighting method (SAW), Weighted Product Method(WPM), Technique for Order Preference by Similarity to Ideal Solution (TOPSIS)& Preference Ranking Organization Method for Enrichment Evaluations (PROMETHEE) are used to find out the best optimal choice for the specified application. The experimentally validated results of above mentioned algorithms are compared and presented in this paper to decide the best TBC material.