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Topography of selectively laser melted surfaces: A comparison of different measurement methods

Thompson, Adam; Senin, Nicola; Giusca, Claudiu L.; Leach, Richard K.

Authors

Nicola Senin

Claudiu L. Giusca



Abstract

Selective laser melting (SLM) of metals produces surface topographies that are challenging to measure. Multiple areal surface topography measurement technologies are available, which allow reconstruction of information rich, three-dimensional digital surface models. However, the capability of such technologies to capture intricate topographic details of SLM parts has not yet been investigated. This work explores the topography of a SLM Ti6Al4V part, as reconstructed from measurements by various optical and non-optical technologies. Discrepancies in the reconstruction of local topographic features are investigated through alignment and quantitative assessment of local differences. ISO 25178-2 areal texture parameters are computed as further comparison indicators.

Citation

Thompson, A., Senin, N., Giusca, C. L., & Leach, R. K. (2017). Topography of selectively laser melted surfaces: A comparison of different measurement methods. CIRP Annals - Manufacturing Technology, 66(1), 543-546. https://doi.org/10.1016/j.cirp.2017.04.075

Journal Article Type Article
Acceptance Date Apr 4, 2017
Online Publication Date Apr 29, 2017
Publication Date 2017
Deposit Date May 5, 2017
Publicly Available Date Oct 30, 2018
Journal CIRP Annals - Manufacturing Technology
Print ISSN 0007-8506
Electronic ISSN 0007-8506
Publisher Elsevier
Peer Reviewed Peer Reviewed
Volume 66
Issue 1
Pages 543-546
DOI https://doi.org/10.1016/j.cirp.2017.04.075
Keywords Metrology; Surface analysis; Selective laser melting (SLM)
Public URL https://nottingham-repository.worktribe.com/output/858345
Publisher URL http://www.sciencedirect.com/science/article/pii/S0007850617300756?via%3Dihub
Additional Information This article is maintained by: Elsevier; Article Title: Topography of selectively laser melted surfaces: A comparison of different measurement methods; Journal Title: CIRP Annals; CrossRef DOI link to publisher maintained version: https://doi.org/10.1016/j.cirp.2017.04.075; Content Type: article; Copyright: © 2017 Published by Elsevier Ltd on behalf of CIRP.

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