Please use this identifier to cite or link to this item: https://idr.nitk.ac.in/jspui/handle/123456789/12762
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dc.contributor.authorRavish-
dc.contributor.authorUmashankar, K.S.-
dc.contributor.authorAlva, A.-
dc.contributor.authorGangadharan, K.V.-
dc.contributor.authorDesai, V.-
dc.date.accessioned2020-03-31T08:42:06Z-
dc.date.available2020-03-31T08:42:06Z-
dc.date.issued2011-
dc.identifier.citationARPN Journal of Engineering and Applied Sciences, 2011, Vol.6, 1, pp.8-13en_US
dc.identifier.urihttp://idr.nitk.ac.in/jspui/handle/123456789/12762-
dc.description.abstractMachinability, though is a simple term, is difficult to generalize. But nevertheless, it can be realized as the ease or difficulty with which a material can be machined. Assessing the machinability of various materials before they are used in commercial manufacturing is very demanding, as the machinability affects the material removal rate, surface finish of the workpiece, cutting power consumption and tool wear rate. The present work aims at establishing Recurrence Quantification Analysis, a relatively new technique in the study of chaotic systems, as a potential tool to establish and compare the machinability of steels. The technique has its roots in quantifying the Recurrence Plots obtained by the phase space reconstruction of time domain signals. Variation in Determinism, one of the variables of the technique, is used as a mean to establish the comparison of machinability. 2006-2011 Asian Research Publishing Network (ARPN).en_US
dc.titleRecurrence quantification analysis to compare the machinability of steelsen_US
dc.typeArticleen_US
Appears in Collections:1. Journal Articles

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