Please use this identifier to cite or link to this item: http://nopr.niscair.res.in/handle/123456789/9257
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dc.contributor.authorKhan, Gufran Sayeed-
dc.contributor.authorSarepaka, Rama Gopal V-
dc.contributor.authorChattopadhyay, K D-
dc.contributor.authorJain, P K-
dc.contributor.authorBajpai, R P-
dc.date.accessioned2010-06-01T05:53:00Z-
dc.date.available2010-06-01T05:53:00Z-
dc.date.issued2004-02-
dc.identifier.issn0975-1017 (Online); 0971-4588 (Print)-
dc.identifier.urihttp://hdl.handle.net/123456789/9257-
dc.description25-30en_US
dc.description.abstractPower spectral density (PSD) distribution provides an accurate measure of roughness of an optical surface. This article presents an analysis of optical surface roughness generated by single point diamond turning (SPDT) using PSD. For this study, flat 60 mm diameter aluminium-6061 samples are machined for varying tool feed rates, while keeping the other machining parameters constant.  The 1-D PSD distributions are computed from the surface roughness data obtained by mechanical profilometer. The PSD distribution of the surface roughness profile is composed of primarily three periodic components, which are correlated to the tool feed rate, material induced vibrations and machine-tool vibrations.  An attempt has been made to identify their individual contributions in PSD estimates. This study helps in improving the surface quality by selecting optimum process parameters.en_US
dc.language.isoen_USen_US
dc.publisherCSIRen_US
dc.sourceIJEMS Vol.11(1) [February 2004]en_US
dc.titleCharacterization of nanoscale roughness in single point diamond turned optical surfaces using power spectral density analysisen_US
dc.typeArticleen_US
Appears in Collections:IJEMS Vol.11(1) [February 2004]

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