AHP and TOPSIS based selection of aluminium alloy for automobile panels
Abstract
Automotive industry is a very attractive area for young researchers to do continuous research and also it can be considered as an important thrust area as it is directly related to passenger safety. New developments in automotive sector can be seen in many domains like material selection, design, manufacturing etc. Since wrong selection directly leads to product failure, among these, the proper selection of a particular material can be treat as utmost priority. Hence, the present work discusses a methodology to select the best aluminium alloy for automobile panels among various alternates serving the same purpose. Analytical Hierarchy Process (AHP) and Technique for Order of Preference by Similarity to Ideal Solution (TOPSIS) methods with entropy weighting criteria are implemented for finding the best material and the results are discussed.
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Author Biographies
D. Swapna received her M.Tech Degree in 2007 with specialization in CAD/CAM. She is currently preparing the research on Development of Alumium panels for automitove applications with the funding of University Grants Commission (UGC), New Delhi, India.
Ch. Srinivasa Rao is a professor in Mechanical Engineering Department of Andhra University College of Engineering, Visakhapatnam. He guided more than 8 research scholars and several Post Graduate students in various domains of Mechanical Engineering. He published more than 150 national and International journals with high eminence.
D. Sameer Kumar working as assistant professor in the Department of Mechanical Engineering, R.V.R. & J.C. College of Engineering, Guntur. His areas of interest include Material selection using MADM methods as well as Design and Development of composites applied to automotive industry.
S. Radhika received his Ph.D. from Andhra University in 2015. She is currently associate professor in the Department of Mechanical Engineering, R.V.R. & J.C. College of Engineering, Guntur. Her areas of interest is to work with Optimization principles applied to manufacturing strategies.
Copyright (c) 2019 D. Swapna, Ch. Srinivasa Rao, D. Sameer Kumar, S. Radhika
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