Please use this identifier to cite or link to this item:
https://hdl.handle.net/10356/141762
Title: | Surface roughness evaluation of additive manufactured metallic components from white light images captured using a flexible fiberscope | Authors: | Haridas, Aswin Matham, Vadakke Murukeshan Crivoi, Alexandru Patinharekandy, Prabhathan Jen, Tan Ming Chan, Kelvin |
Keywords: | Engineering::Mechanical engineering | Issue Date: | 2018 | Source: | Haridas, 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.2018.05.026 | Journal: | Optics and Lasers in Engineering | Abstract: | The 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). | URI: | https://hdl.handle.net/10356/141762 | ISSN: | 0143-8166 | DOI: | 10.1016/j.optlaseng.2018.05.026 | Schools: | School of Mechanical and Aerospace Engineering | Organisations: | Rolls-Royce @ NTU Corporate Laboratory | 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. | Fulltext Permission: | open | Fulltext Availability: | With Fulltext |
Appears in Collections: | MAE Journal Articles |
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OLE Special Issue Article_Aswin_2018(1).pdf | 2.59 MB | Adobe PDF | View/Open |
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