Computing and Library Services - delivering an inspiring information environment

On characterising surface topography of metal powder bed fusion additive manufactured parts

Lou, Shan, Townsend, Andrew, Jiang, Xiang, Blunt, Liam, Zeng, Wenhan and Paul, Scott (2016) On characterising surface topography of metal powder bed fusion additive manufactured parts. In: euspen's 16th International Conference, 30 May - 3 June 2016, Nottingham, UK. (Unpublished)

PDF - Accepted Version
Download (775kB) | Preview


Inherent to the somewhat uncontrolled nature of the additive process, the surfaces of metal powder bed fusion additively manufactured components tend to be very rough. Large isolated ‘bumps’, as one of the major defect features, are often present due to partially melted particles attached to the surface. An enhanced watershed segmentation method is proposed to separate these ‘bump’ features from the underlying surface texture such that the ‘bumps’ and underlying surface can be quantitatively analysed. The results show that the amplitude roughness parameters of the underlying surface are significantly less than the un-segmented surface and spatial roughness parameters differ between two surfaces. Characterising the extracted underlying surface and ‘bumps’ independently allows better correlation between surface measurements and additive system performance and hence aids in process optimization.

▼ Jump to Download Statistics
Item Type: Conference or Workshop Item (Paper)
Subjects: T Technology > TJ Mechanical engineering and machinery
Schools: School of Computing and Engineering > Centre for Precision Technologies > EPSRC Centre for Innovative Manufacturing in Advanced Metrology
Related URLs:

1] National Institute of Standards and Technology 2013 Measurement science roadmap for metal-based additive manufacturing
[2] Scott P J 2004 Proc. R. Soc. A, 460 2845-64
[3] ISO 25178-2 2012 Geometrical product specification (GPS) - Surface texture: Areal - Part 2: Terms, definitions and surface texture parameters
[4] Gonzales R et al. 2004 Digital Image Processing Using Matlab

Depositing User: Shan Lou
Date Deposited: 26 Apr 2016 09:28
Last Modified: 26 Apr 2016 18:30


Downloads per month over past year

Repository Staff Only: item control page

View Item View Item

University of Huddersfield, Queensgate, Huddersfield, HD1 3DH Copyright and Disclaimer All rights reserved ©