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Title: Recurrence quantification analysis to compare the machinability of steels
Authors: Ravish
Umashankar, K.S.
Alva, A.
Gangadharan, K.V.
Desai, V.
Issue Date: 2011
Citation: ARPN Journal of Engineering and Applied Sciences, 2011, Vol.6, 1, pp.8-13
Abstract: Machinability, 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).
Appears in Collections:1. Journal Articles

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