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dc.contributor.authorAzwan Iskandar, Azmi
dc.date.accessioned2017-06-07T07:05:40Z
dc.date.available2017-06-07T07:05:40Z
dc.date.issued2012
dc.identifier.citationProcedia Engineering, vol. 38, 2012, pages 208 – 217en_US
dc.identifier.issn1877–7058
dc.identifier.urihttp://dspace.unimap.edu.my:80/xmlui/handle/123456789/48601
dc.descriptionLink to publisher's homepage at http://www.elsevier.com/locate/procediaen_US
dc.description.abstractComplexity of the machining process, the nonlinear relationship between parameters, and the random variations of material properties make the prediction of tool life during machining of composite material a challenge. Therefore, this article reports on the application of fuzzy logic technique for modelling of the useful life of the end mill cutter while machining under the aforesaid process. Dry end milling experiments were conducted to gather experimental data, followed by the design of Mamdani fuzzy inference system (FIS) so as to perform fuzzy logic correlation between the employed machining conditions with the tool life. Results showed remarkable prediction of tool life when compared to the experimentally determined values. Confirmation tests of randomly selected conditions were also undertaken to further demonstrate the effectiveness of the proposed model.en_US
dc.language.isoenen_US
dc.publisherElsevieren_US
dc.subjectFuzzy logic modelen_US
dc.subjectMachiningen_US
dc.subjectTool wearen_US
dc.subjectTool lifeen_US
dc.subjectComposite materialen_US
dc.titleDesign of fuzzy logic model for the prediction of tool performance during machining of composite materialsen_US
dc.typeArticleen_US
dc.identifier.urlhttp://www.sciencedirect.com/science/article/pii/S1877705812019418
dc.identifier.doihttp://dx.doi.org/10.1016/j.proeng.2012.06.028


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