Selection of Magnesium Alloy by MADM Methods for Automobile Wheels
Author(s) -
Sameer Kumar Devarakonda,
K.N.S. Suman
Publication year - 2014
Publication title -
international journal of engineering and manufacturing
Language(s) - English
Resource type - Journals
eISSN - 2306-5982
pISSN - 2305-3631
DOI - 10.5815/ijem.2014.02.03
Subject(s) - artifact (error) , signal (programming language) , independent component analysis , component (thermodynamics) , computer science , wavelet , discrete wavelet transform , waveform , set (abstract data type) , automation , selection (genetic algorithm) , segmentation , wavelet transform , component analysis , data set , outsourcing , artificial intelligence , engineering , mechanical engineering , telecommunications , radar , physics , thermodynamics , programming language , law , political science
The selection of suitable material plays fundamental and vital role in product development as each material possesses individual characteristics that contribute many aspects to suit the particular application. A wrong selection of materials favours huge cost contribution as well as product failure. Hence among the various available materials the selection of a particular becomes difficult. A better methodology is more and more needed for the selection of material. Multi Attribute Decision Making (MADM) methods based on mathematical models provide a ranking to the different alternatives, there by the decision making become easier. This paper presents the selection of Magnesium alloy material to use in automotive wheel applications using MADM methods. The influence of weighting factors has also been discussed.
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