Surface roughness evaluation of additive manufactured metallic components from white light images captured using a flexible fiberscope

• Main Authors: Haridas, Aswin, Matham, Vadakke Murukeshan, Crivoi, Alexandru, Patinharekandy, Prabhathan, Jen, Tan Ming, Chan, Kelvin
• Other Authors: School of Mechanical and Aerospace Engineering
• Format: Article
• Language: English
• Published: 2020
• Subjects: Engineering::Mechanical engineering; Surface Roughness; White Light Imaging
• Online Access: https://hdl.handle.net/10356/141762
• Institution: Nanyang Technological University

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).