Surface texture measurement for additive manufacturing

Triantaphyllou, Andrew; Leach, Richard; Giusca, Claudiu L; Macaulay, Gavin D; Roerig, Felix; Hoebel, Matthias; Tomita, Ben; Milne, Katherine A

Abstract

The surface texture of additively manufactured metallic surfaces made by powder bed methods is affected by a number of factors, including the powder's particle size distribution, the effect of the heat source, the thickness of the printed layers, the angle of the surface relative to the horizontal build bed and the effect of any post processing/finishing. The aim of the research reported here is to understand the way these surfaces should be measured in order to characterise them. In published research to date, the surface texture is generally reported as an Ra value, measured across the lay. The appropriateness of this method for such surfaces is investigated here. A preliminary investigation was carried out on two additive manufacturing processes—selective laser melting (SLM) and electron beam melting (EBM)—focusing on the effect of build angle and post processing. The surfaces were measured using both tactile and optical methods and a range of profile and areal parameters were reported. Test coupons were manufactured at four angles relative to the horizontal plane of the powder bed using both SLM and EBM. The effect of lay—caused by the layered nature of the manufacturing process—was investigated, as was the required sample area for optical measurements. The surfaces were also measured before and after grit blasting.

Citation

Triantaphyllou, A., Leach, R., Giusca, C. L., Macaulay, G. D., Roerig, F., Hoebel, M., …Milne, K. A. (2015). Surface texture measurement for additive manufacturing. Measurement Science and Technology, 3, Article 024002. https://doi.org/10.1088/2051-672X/3/2/024002

• Journal Article Type: Article
• Acceptance Date: Feb 26, 2015
• Publication Date: May 5, 2015
• Deposit Date: Sep 20, 2018
• Print ISSN: 0957-0233
• Publisher: IOP Publishing
• Peer Reviewed: Peer Reviewed
• Volume: 3
• Article Number: 024002
• DOI: https://doi.org/10.1088/2051-672X/3/2/024002
• Public URL: https://nottingham-repository.worktribe.com/output/1103433
• Publisher URL: https://iopscience.iop.org/article/10.1088/2051-672X/3/2/024002/meta