Please use this identifier to cite or link to this item: https://hdl.handle.net/10356/141762
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dc.contributor.authorHaridas, Aswinen_US
dc.contributor.authorMatham, Vadakke Murukeshanen_US
dc.contributor.authorCrivoi, Alexandruen_US
dc.contributor.authorPatinharekandy, Prabhathanen_US
dc.contributor.authorJen, Tan Mingen_US
dc.contributor.authorChan, Kelvinen_US
dc.date.accessioned2020-06-10T08:16:24Z-
dc.date.available2020-06-10T08:16:24Z-
dc.date.issued2018-
dc.identifier.citationHaridas, A., Matham, V. M., Crivoi, A., Patinharekandy, P., Jen, T. M., & Chan, K. (2018). Surface roughness evaluation of additive manufactured metallic components from white light images captured using a flexible fiberscope. Optics and Lasers in Engineering, 110, 262-271. doi:10.1016/j.optlaseng.2018.05.026en_US
dc.identifier.issn0143-8166en_US
dc.identifier.urihttps://hdl.handle.net/10356/141762-
dc.description.abstractThe added capabilities of Additive Manufacturing (AM) while processing metallic components have revolutionized the design and manufacturing flexibility of multitudes of aerospace components. However, AM being a stochastic process results in a degraded control of the surface topography of the printed structure and thus requires adequate finishing processes before implementation. Particularly, in the case of components having complex cross-sections and internal channels, none of the currently available technologies offer a solution for the measurement and certification of surface roughness parameters. In this context, this paper investigates a binary image processing technique applied to multiple white light images captured by a 0.3 mm diameter micro fiber endoscope. Further, AM sample surfaces generated by different build angles are investigated to demonstrate the advantages of the proposed technique. A surface roughness evaluation parameter is presented along with measurement results obtained using the Mitutoyo SJ400 (conventional profiler) and the Talyscan 150 (optical profiler).en_US
dc.description.sponsorshipEconomic Development Board (EDB)en_US
dc.description.sponsorshipNational Research Foundation (NRF)en_US
dc.language.isoenen_US
dc.relation.ispartofOptics and Lasers in Engineeringen_US
dc.rights© 2018 Elsevier Ltd. All rights reserved. This paper was published in Optics and Lasers in Engineering and is made available with permission of Elsevier Ltd.en_US
dc.subjectEngineering::Mechanical engineeringen_US
dc.titleSurface roughness evaluation of additive manufactured metallic components from white light images captured using a flexible fiberscopeen_US
dc.typeJournal Articleen
dc.contributor.schoolSchool of Mechanical and Aerospace Engineeringen_US
dc.contributor.organizationRolls-Royce @ NTU Corporate Laboratoryen_US
dc.identifier.doi10.1016/j.optlaseng.2018.05.026-
dc.description.versionAccepted versionen_US
dc.identifier.scopus2-s2.0-85049333122-
dc.identifier.volume110en_US
dc.identifier.spage262en_US
dc.identifier.epage271en_US
dc.subject.keywordsSurface Roughnessen_US
dc.subject.keywordsWhite Light Imagingen_US
dc.description.acknowledgementThis work was conducted within the Rolls-Royce@NTU Corporate Lab MRT 4.1 project with support from the National Research Foundation (NRF) Singapore under the Corp Lab@University Scheme. The authors are also grateful for the support from COLE EDB funding.en_US
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