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dc.contributor.authorSatapathy, B K
dc.contributor.authorBijwe, J
dc.date.accessioned2006-02-22T04:28:24Z
dc.date.accessioned2019-02-10T14:03:54Z
dc.date.accessioned2019-02-11T06:29:36Z
dc.date.available2006-02-22T04:28:24Z
dc.date.available2019-02-10T14:03:54Z
dc.date.available2019-02-11T06:29:36Z
dc.date.issued2004
dc.identifier.citationWear, 257(5-6), 585-589en
dc.identifier.urihttp://localhost:8080/iit/handle/2074/1386
dc.description.abstractMultiple criteria decision model (MCDM) is used for optimisation of several conflicting criteria dependent systems. A multiple criteria decision model (MCDM) approach taking into account the performance defining attributes (PDAs) such as μ-fade, μ-recovery, performance-μ, wear and temperature rise in the rotor disc, was adopted to determine the performance ranking of five non-asbestos fibre reinforced organic friction materials. It is a three-stepped procedure to derive an overall complete final order of the options. The out-ranking matrix is derived, indicating the frequency of the relative superiority of options with respect to each other based on each criterion. The out-ranking matrix is triangularised to obtain an implicit ordering or provisional order of options, based on sequential application of a balancing principle supported by the pair wise comparison of the options with the help of advantages–disadvantages table. The method has been used to rank a series of friction materials (FMs) based on the combinatorial variation of the fibres, in particular, the organic fibres. The carbon fibre based composite (C) was found to be functioning optimally for its practical selection and implementation in similar evaluating conditions. Cellulose fibre based composite (S) was found to be the poorest in this regard.en
dc.format.extent405124 bytes
dc.format.mimetypeapplication/pdf
dc.language.isoenen
dc.subjectFriction materialen
dc.subjectOptimisationen
dc.subjectPerformance rankingen
dc.subjectMCDMen
dc.titlePerformance of friction materials based on variation in nature of organic fibres: Part II. Optimisation by balancing and ranking using multiple criteria decision model (MCDM)en
dc.typeArticleen


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