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.

Preview

PDF - Accepted Version Download (775kB) | Preview

Abstract

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:	Author Author Author Author Author Conference Conference
References:	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:	28 Aug 2021 17:13
URI:	http://eprints.hud.ac.uk/id/eprint/28142

Downloads

Repository Staff Only: item control page

View Item