Skip to main content

Research Repository

Advanced Search

Feature-based characterisation of laser powder bed fusion surfaces

Senin, Nicola; Thompson, Adam; Leach, Richard K.

Feature-based characterisation of laser powder bed fusion surfaces Thumbnail


Authors

Nicola Senin



Abstract

A novel algorithmic pipeline for the automated identification and dimensional/geometric characterisation of topographic formations of interest (surface features) is proposed, specifically aimed at the investigation of signature features left by laser powder bed fusion of metallic surfaces. Unmelted and partially-melted particles, as well as spatter formations and weld tracks, are automatically identified and extracted from topography datasets obtained via state-of-the-art areal topography measurement instruments, and then characterised in terms of their size and shape properties. Feature -based characterisation approaches, such as the one proposed in this work, allow for development of new solutions for the study of advanced manufacturing processes through the investigation of their surface fingerprint.

Citation

Senin, N., Thompson, A., & Leach, R. K. (2017). Feature-based characterisation of laser powder bed fusion surfaces.

Conference Name Joint Special Interest Group meeting between euspen and ASPE Dimensional Accuracy and Surface Finish in Additive Manufacturing
End Date Oct 12, 2017
Acceptance Date Oct 2, 2017
Publication Date Oct 10, 2017
Deposit Date Dec 7, 2017
Publicly Available Date Dec 7, 2017
Peer Reviewed Peer Reviewed
Keywords Feature-based topography characterisation, laser powder bed fusion, surface metrology, manufacturing process fingerprint
Public URL https://nottingham-repository.worktribe.com/output/887456

Files




You might also like



Downloadable Citations