The University of Southampton
University of Southampton Institutional Repository

Internal surface roughness measurement of metal additively manufactured samples via x-ray CT: the influence of surrounding material thickness

Internal surface roughness measurement of metal additively manufactured samples via x-ray CT: the influence of surrounding material thickness
Internal surface roughness measurement of metal additively manufactured samples via x-ray CT: the influence of surrounding material thickness
X-ray computed tomography (XCT) can be used to measure the internal and external surfaces of an object non-destructively and with micron-level spatial resolution. XCT is therefore an appealing method for measuring and characterising the internal surface roughness of additively manufactured parts that cannot be accessed by traditional tactile and optical surface roughness instruments. In this work, an additively manufactured aluminium spherical surface roughness sample is designed, fabricated and its surface roughness measured via a focus variation microscope, the sample is then XCT scanned when embedded in varying thicknesses of surrounding material. A quantitative and qualitative comparison between the optical and XCT surface roughness measurements is made; the results show that the Sa of the XCT-based surface roughness measurements increases as a function of surrounding material thickness.
2051-672X
Lifton, Joseph John
9be501ec-2742-4ab6-8a5a-996c5b7c23ae
Liu, Yuchan
87866177-2882-4dc5-b232-d3ef19cf70da
Tan, Zheng Jie
b7e6d353-4c10-4e77-a86e-1a6df8fff223
Mutiargo, Bisma
0239807b-4ba2-4304-ab22-baa188c137ef
Goh, Xue Qi
62722646-6655-496e-b79a-51fa97cb35ef
Malcolm, Andrew Alexander
1d09eb81-0fbc-4359-9621-784c9f04d981
Lifton, Joseph John
9be501ec-2742-4ab6-8a5a-996c5b7c23ae
Liu, Yuchan
87866177-2882-4dc5-b232-d3ef19cf70da
Tan, Zheng Jie
b7e6d353-4c10-4e77-a86e-1a6df8fff223
Mutiargo, Bisma
0239807b-4ba2-4304-ab22-baa188c137ef
Goh, Xue Qi
62722646-6655-496e-b79a-51fa97cb35ef
Malcolm, Andrew Alexander
1d09eb81-0fbc-4359-9621-784c9f04d981

Lifton, Joseph John, Liu, Yuchan, Tan, Zheng Jie, Mutiargo, Bisma, Goh, Xue Qi and Malcolm, Andrew Alexander (2021) Internal surface roughness measurement of metal additively manufactured samples via x-ray CT: the influence of surrounding material thickness. Surface Topography: Metrology and Properties, 9 (3), [035008]. (doi:10.1088/2051-672X/ac0e7c).

Record type: Article

Abstract

X-ray computed tomography (XCT) can be used to measure the internal and external surfaces of an object non-destructively and with micron-level spatial resolution. XCT is therefore an appealing method for measuring and characterising the internal surface roughness of additively manufactured parts that cannot be accessed by traditional tactile and optical surface roughness instruments. In this work, an additively manufactured aluminium spherical surface roughness sample is designed, fabricated and its surface roughness measured via a focus variation microscope, the sample is then XCT scanned when embedded in varying thicknesses of surrounding material. A quantitative and qualitative comparison between the optical and XCT surface roughness measurements is made; the results show that the Sa of the XCT-based surface roughness measurements increases as a function of surrounding material thickness.

Text
Lifton_2021_Surf._Topogr.__Metrol._Prop._9_035008 - Version of Record
Available under License Creative Commons Attribution.
Download (3MB)

More information

Accepted/In Press date: 24 June 2021
Published date: 9 July 2021

Identifiers

Local EPrints ID: 499575
URI: http://eprints.soton.ac.uk/id/eprint/499575
ISSN: 2051-672X
PURE UUID: 32253465-9031-4874-a2b5-af3da095723d
ORCID for Joseph John Lifton: ORCID iD orcid.org/0000-0002-8716-1055

Catalogue record

Date deposited: 27 Mar 2025 17:33
Last modified: 22 Aug 2025 02:43

Export record

Altmetrics

Contributors

Author: Joseph John Lifton ORCID iD
Author: Yuchan Liu
Author: Zheng Jie Tan
Author: Bisma Mutiargo
Author: Xue Qi Goh
Author: Andrew Alexander Malcolm

Download statistics

Downloads from ePrints over the past year. Other digital versions may also be available to download e.g. from the publisher's website.

View more statistics

Atom RSS 1.0 RSS 2.0

Contact ePrints Soton: eprints@soton.ac.uk

ePrints Soton supports OAI 2.0 with a base URL of http://eprints.soton.ac.uk/cgi/oai2

This repository has been built using EPrints software, developed at the University of Southampton, but available to everyone to use.

We use cookies to ensure that we give you the best experience on our website. If you continue without changing your settings, we will assume that you are happy to receive cookies on the University of Southampton website.

×