Selection of coating material for magnesium alloy using Fuzzy AHP-TOPSIS
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Selection of coating material for magnesium alloy using Fuzzy AHP-TOPSIS RESMI V PRASAD1,*, R RAJESH2 and D THIRUMALAIKUMARASAMY3 1
Lourdes Matha College of Science and Technology (Affiliated to Kerala Technological University), Thiruvananthapuram, India 2 Rohini College of Engineering and Technology (Affiliated to Anna University), Kanyakumari, India 3 Government College of Engineering (Affiliated to Anna University), Bargur, India e-mail: [email protected]; [email protected]; [email protected] MS received 5 May 2019; revised 31 October 2019; accepted 4 November 2019 Abstract. Magnesium alloys are inherently negative electrochemical potential and are very reactive compared to other engineering metals. They are prone to galvanic corrosion and micro cracks. Various coating materials or Alternatives and the required criteria and sub-criteria for the selection of Alternatives for AZ31B magnesium alloy substrate are identified by means of literature review. Criteria weight and the rank of the alternatives are usually vague and hence uncertainty prevails. The best Alternative from several potential ‘‘Candidates’’, subject to several criteria and sub-criteria, needs to get decided. In such cases, multi criteria decision making (MCDM) techniques help in determining the MOST suitable coating material. This paper concentrates on the selection of coating material for the magnesium alloy substrate. The problem is subjective, uncertain and equivocal in nature. Hence in this study, fuzzy analytic hierarchy process (AHP) is applied to obtain the weights of criteria and technique for order performance by similarity to ideal solutions (TOPSIS) is utilised for ranking the Alternatives. Keywords. Alternatives; fuzzy analytic hierarchy process (AHP); MCDM; technique for order performance by similarity to ideal solutions (TOPSIS).
1. Introduction In solving a multi criteria decision making (MCDM) problem, the decision environment affects the decision outcome in which the criteria knowledge is known or uncertain. The decision-making environment can be classified into three types: certainty, uncertainty, and risk [1]. a. Certainty: In this environment, a decision maker (DM) is fully aware of the criteria which can be quantified by means of numbers. b. Uncertainty: Uncertain environment means, the DM has only less knowledge about the criteria at the time of assignment. c. Risk: From the historical data, the risk factors can be identified and the necessary steps can be taken. Zimmerman [2] proposed that fuzzy sets can be used to model uncertainty. AZ31B Magnesium alloy suffers from corrosion attack in spite of its physical deposition treatment on various applications. Hence thermal coating method has been decided to adopt to reduce the intermetallic corrosion.
*For correspondence
To find the suitable coating material for the alloy, integrated fuzzy analytic hierarchy process–Technique for order performance by similarity to ideal solutio
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