2016
DOI: 10.1016/j.measurement.2016.02.008
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A grey-fuzzy modeling for evaluating surface roughness and material removal rate of coated end milling insert

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Cited by 44 publications
(16 citation statements)
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“…After normalization, the data undergoes sequential grey relational coefficient (GRC) computation. (19) The GRC equation is…”
Section: Taguchi Theory and Gramentioning
confidence: 99%
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“…After normalization, the data undergoes sequential grey relational coefficient (GRC) computation. (19) The GRC equation is…”
Section: Taguchi Theory and Gramentioning
confidence: 99%
“…Thankachan et al (18) used the Taguchi method, GRA, and an ANN to predict and optimize the surface roughness of products made of aluminum alloys and the material removal rate. Tamiloli et al (19) performed GRA using Taguchi factorial experiments and developed an adaptive neuro-fuzzy inference system (ANFIS) model to optimize parameter selection. This showed that GRA can use the signal-to-noise ratio (S/N) obtained from Taguchi experiments for relational analysis.…”
Section: Introductionmentioning
confidence: 99%
“…Since the past few years, grey-fuzzy logic approach has been successfully implemented by many researchers to solve complex multi-response optimization problems. 2933
Figure 6.Proposed grey-fuzzy logic approach.
…”
Section: Grey-fuzzy Logic Approachmentioning
confidence: 99%
“…Though a significant amount of work has been carried out on machining of superalloys with MCDM approaches in EDM and Wire-EDM, optimization analysis related to its machining efficiency with different electrodes and dielectric has not been adequately explored. Inconel-718, one of the toughest materials is a Ni-based superalloy with a chemical composition of C0.8%, Mn0.35%, Ni54%, Cr20%, Ti0.75%, and Fe [3,4]. It is extensively used in making gas turbine blades, jet engine parts, ballistic missiles and automotive applications.…”
Section: Introductionmentioning
confidence: 99%