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Comparison and validation of surface topography segmentation methods for feature-based characterisation of metal powder bed fusion surfaces

Newton, Lewis; Senin, Nicola; Smith, Bethan; Chatzivagiannis, Evangelos; Leach, Richard

Authors

Lewis Newton

Nicola Senin

Bethan Smith

Evangelos Chatzivagiannis

Richard Leach



Abstract

Feature-based characterisation, i.e. the characterisation of surface topography based on the isolation of relevant topographic formations (features) and their dimensional assessment, is a developing field of surface texture metrology. Feature-based approaches provide dimensional assessments of individual features (area, width, height, etc.) as well as statistical properties of feature aggregations (e.g. mean, standard deviation, etc.), which may be more intuitive or related to functionality. For powder bed fusion surfaces, a commonly investigated feature of interest is the particles or spatter present on the surface. In this work, we address segmentation, a necessary step of feature-based characterisation, where the measured surface topography is spatially partitioned into regions to isolate the targeted features from their surroundings. Three topography segmentation methods are investigated: morphological segmentation on edges, contour stability analysis and active contours. To perform the comparison, three powder bed fusion surfaces obtained at differing build orientations (0°, 30° and 90°) and measured using focus variation microscopy are subjected to the three segmentation approaches-optimised to isolate spatter and particles on the surface. The comparison of the segmentation methods focuses on performance in feature identification (i.e. the capability to correctly detect the presence of features) and performance in feature boundary determination (i.e. the capability to correctly trace the boundaries of each feature). Results show that no segmentation method is consistently superior for all test cases, but the comparison approach is useful to explore and optimise segmentation alternatives for feature-based characterisation scenarios.

Journal Article Type Article
Publication Date Nov 7, 2019
Journal Surface Topography: Metrology and Properties
Electronic ISSN 2051-672X
Publisher IOP Publishing
Peer Reviewed Peer Reviewed
Volume 7
Issue 4
Article Number 045020
APA6 Citation Newton, L., Senin, N., Smith, B., Chatzivagiannis, E., & Leach, R. (2019). Comparison and validation of surface topography segmentation methods for feature-based characterisation of metal powder bed fusion surfaces. Surface Topography: Metrology and Properties, 7(4), https://doi.org/10.1088/2051-672X/ab520a
DOI https://doi.org/10.1088/2051-672X/ab520a
Keywords areal surface topography, surface texture, feature-based characterisation, additive manufacturing
Publisher URL https://iopscience.iop.org/article/10.1088/2051-672X/ab520a/meta

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