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Selection and Experimentation of the Best Hybrid Green Composite Using Advanced MCDM Methods for Clean Sustainable Energy Recovery: A Novel Approach
Author(s) -
Soutrik Bose,
Nabankur Mandal,
Titas Nandi
Publication year - 2020
Publication title -
international journal of mathematical, engineering and management sciences
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.228
H-Index - 10
ISSN - 2455-7749
DOI - 10.33889/ijmems.2020.5.3.046
Subject(s) - selection (genetic algorithm) , rank (graph theory) , multiple criteria decision analysis , computer science , task (project management) , composite number , process engineering , material selection , mathematical optimization , mathematics , algorithm , engineering , materials science , artificial intelligence , systems engineering , composite material , combinatorics
Relevant and appropriate selection of best hybrid material is a challenging task for the recent industries. Themandatory criterion is to deal with the enhanced productivity with minimum cost. Therefore, this paper highlights onthe comparative study between the advanced multi-criteria approaches namely ARAS, MABAC, COPRAS andMOOSRA methods for the selection of the best hybrid composite material using aluminum (Al) as base materialvarying different reinforcement weights and recycling with various industrial wastes by stir casting. Al/WCE givessuperior tribomechanical properties at lower cost than any other reinforcements. These advanced MCDM methods areapplied, based on the properties and attributes of the hybrid composites, to compare between the computational andexperimental results. The results exactly corroborate with the previous research results, which authenticate theexpediency of these methods during the solving of complex hybrid material selection problems for sustainable energyrecovery. Out of 48 different samples, A30 is obtained to be the best sample by ARAS approach (rank 1) which isAl+Al2O3 at 12.5%wt. addition. A24 is ranked 2 which is heat treated 12.5%wt. WCE. But the same A30 is obtainedto be rank 5 and A24 is obtained to be rank 1 by MABAC method, A30 is obtained to be rank 2 and A24 to be rank 1by COPRAS method, and A30 is calculated to be rank 1 and A24 to be rank 11 by MOOSRA method. A24 is alsoobtained to be the best hybrid composite as per the experimentation. This paper also aims for proper recovering ofenvironmental friendly renewable energy for the society by fabricating the best hybrid green composite forsustainable development.

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