Results from an interlaboratory comparison of areal surface texture parameter extraction from X-ray computed tomography of additively manufactured parts

Andrew Townsend, Radu Racasan, Paul Bills, Adam Thompson, Nicola Senin, Richard Leach, Liam Blunt

Research output: Chapter in Book/Report/Conference proceedingConference contribution

1 Citation (Scopus)

Abstract

This paper presents the results of the CT-STARR (CT-Surface Texture for Additive Round Robin) interlaboratory comparison. The study compares the results obtained for the extraction of areal surface texture data per ISO 25178-2 from five X-ray computed tomography (XCT) volume measurements from each of four laboratories. To reduce the number of process variables, all participants utilise a Nikon XCT machine, either an XT H 225 industrial CT or an MCT225 metrology CT. Measurement process parameters, such as physical X-ray filtering, acceleration voltage and filament current, are set at similar values for all machines. All data processing and computation to extract, align, crop, filter and generate surface texture parameter information and deviation analysis results from the measurement volumes is performed by one participant. Two Ti6Al4V ELI (extra low interstitial) components are included in each of the XCT acquisitions. The first component is an additively manufactured cube built on an Arcam Q10 electron beam melting machine. Surface texture data is extracted from XCT scans of this part. The second component is a machined artefact designed for XCT scaling and surface determination analysis and verification. The data extracted from XCT measurements of these components is compared with measurements from coordinate measuring machine, focus variation and stylus instruments. The effect of scaling correction and XCT surface determination on extracted surface texture data, as well as measurement repeatability and reproducibility, are discussed.

LanguageEnglish
Title of host publicationProceedings of the 17th International Conference of the European Society for Precision Engineering and Nanotechnology, EUSPEN 2017
EditorsD. Phillips
Publishereuspen
Pages385-386
Number of pages2
ISBN (Electronic)9780995775107
Publication statusPublished - 26 May 2017
Event17th International Conference of the European Society for Precision Engineering and Nanotechnology - Hannover Congress Centre, Hannover, Germany
Duration: 29 May 20172 Jun 2017
Conference number: 17
http://www.euspen.eu/events/17th-international-conference-exhibition/ (Link to Conference Website )

Conference

Conference17th International Conference of the European Society for Precision Engineering and Nanotechnology
Abbreviated titleEUSPEN 2017
CountryGermany
CityHannover
Period29/05/172/06/17
Internet address

Fingerprint

Parameter extraction
Tomography
textures
Textures
tomography
X rays
x rays
Volume measurement
Electron beam melting
information analysis
Coordinate measuring machines
scaling
crops
Crops
metrology
artifacts
filaments
acquisition
interstitials
melting

Cite this

Townsend, A., Racasan, R., Bills, P., Thompson, A., Senin, N., Leach, R., & Blunt, L. (2017). Results from an interlaboratory comparison of areal surface texture parameter extraction from X-ray computed tomography of additively manufactured parts. In D. Phillips (Ed.), Proceedings of the 17th International Conference of the European Society for Precision Engineering and Nanotechnology, EUSPEN 2017 (pp. 385-386). euspen.
Townsend, Andrew ; Racasan, Radu ; Bills, Paul ; Thompson, Adam ; Senin, Nicola ; Leach, Richard ; Blunt, Liam. / Results from an interlaboratory comparison of areal surface texture parameter extraction from X-ray computed tomography of additively manufactured parts. Proceedings of the 17th International Conference of the European Society for Precision Engineering and Nanotechnology, EUSPEN 2017. editor / D. Phillips. euspen, 2017. pp. 385-386
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abstract = "This paper presents the results of the CT-STARR (CT-Surface Texture for Additive Round Robin) interlaboratory comparison. The study compares the results obtained for the extraction of areal surface texture data per ISO 25178-2 from five X-ray computed tomography (XCT) volume measurements from each of four laboratories. To reduce the number of process variables, all participants utilise a Nikon XCT machine, either an XT H 225 industrial CT or an MCT225 metrology CT. Measurement process parameters, such as physical X-ray filtering, acceleration voltage and filament current, are set at similar values for all machines. All data processing and computation to extract, align, crop, filter and generate surface texture parameter information and deviation analysis results from the measurement volumes is performed by one participant. Two Ti6Al4V ELI (extra low interstitial) components are included in each of the XCT acquisitions. The first component is an additively manufactured cube built on an Arcam Q10 electron beam melting machine. Surface texture data is extracted from XCT scans of this part. The second component is a machined artefact designed for XCT scaling and surface determination analysis and verification. The data extracted from XCT measurements of these components is compared with measurements from coordinate measuring machine, focus variation and stylus instruments. The effect of scaling correction and XCT surface determination on extracted surface texture data, as well as measurement repeatability and reproducibility, are discussed.",
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Townsend, A, Racasan, R, Bills, P, Thompson, A, Senin, N, Leach, R & Blunt, L 2017, Results from an interlaboratory comparison of areal surface texture parameter extraction from X-ray computed tomography of additively manufactured parts. in D Phillips (ed.), Proceedings of the 17th International Conference of the European Society for Precision Engineering and Nanotechnology, EUSPEN 2017. euspen, pp. 385-386, 17th International Conference of the European Society for Precision Engineering and Nanotechnology, Hannover, Germany, 29/05/17.

Results from an interlaboratory comparison of areal surface texture parameter extraction from X-ray computed tomography of additively manufactured parts. / Townsend, Andrew; Racasan, Radu; Bills, Paul; Thompson, Adam; Senin, Nicola; Leach, Richard; Blunt, Liam.

Proceedings of the 17th International Conference of the European Society for Precision Engineering and Nanotechnology, EUSPEN 2017. ed. / D. Phillips. euspen, 2017. p. 385-386.

Research output: Chapter in Book/Report/Conference proceedingConference contribution

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AU - Racasan, Radu

AU - Bills, Paul

AU - Thompson, Adam

AU - Senin, Nicola

AU - Leach, Richard

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N2 - This paper presents the results of the CT-STARR (CT-Surface Texture for Additive Round Robin) interlaboratory comparison. The study compares the results obtained for the extraction of areal surface texture data per ISO 25178-2 from five X-ray computed tomography (XCT) volume measurements from each of four laboratories. To reduce the number of process variables, all participants utilise a Nikon XCT machine, either an XT H 225 industrial CT or an MCT225 metrology CT. Measurement process parameters, such as physical X-ray filtering, acceleration voltage and filament current, are set at similar values for all machines. All data processing and computation to extract, align, crop, filter and generate surface texture parameter information and deviation analysis results from the measurement volumes is performed by one participant. Two Ti6Al4V ELI (extra low interstitial) components are included in each of the XCT acquisitions. The first component is an additively manufactured cube built on an Arcam Q10 electron beam melting machine. Surface texture data is extracted from XCT scans of this part. The second component is a machined artefact designed for XCT scaling and surface determination analysis and verification. The data extracted from XCT measurements of these components is compared with measurements from coordinate measuring machine, focus variation and stylus instruments. The effect of scaling correction and XCT surface determination on extracted surface texture data, as well as measurement repeatability and reproducibility, are discussed.

AB - This paper presents the results of the CT-STARR (CT-Surface Texture for Additive Round Robin) interlaboratory comparison. The study compares the results obtained for the extraction of areal surface texture data per ISO 25178-2 from five X-ray computed tomography (XCT) volume measurements from each of four laboratories. To reduce the number of process variables, all participants utilise a Nikon XCT machine, either an XT H 225 industrial CT or an MCT225 metrology CT. Measurement process parameters, such as physical X-ray filtering, acceleration voltage and filament current, are set at similar values for all machines. All data processing and computation to extract, align, crop, filter and generate surface texture parameter information and deviation analysis results from the measurement volumes is performed by one participant. Two Ti6Al4V ELI (extra low interstitial) components are included in each of the XCT acquisitions. The first component is an additively manufactured cube built on an Arcam Q10 electron beam melting machine. Surface texture data is extracted from XCT scans of this part. The second component is a machined artefact designed for XCT scaling and surface determination analysis and verification. The data extracted from XCT measurements of these components is compared with measurements from coordinate measuring machine, focus variation and stylus instruments. The effect of scaling correction and XCT surface determination on extracted surface texture data, as well as measurement repeatability and reproducibility, are discussed.

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KW - ISO 25178

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BT - Proceedings of the 17th International Conference of the European Society for Precision Engineering and Nanotechnology, EUSPEN 2017

A2 - Phillips, D.

PB - euspen

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Townsend A, Racasan R, Bills P, Thompson A, Senin N, Leach R et al. Results from an interlaboratory comparison of areal surface texture parameter extraction from X-ray computed tomography of additively manufactured parts. In Phillips D, editor, Proceedings of the 17th International Conference of the European Society for Precision Engineering and Nanotechnology, EUSPEN 2017. euspen. 2017. p. 385-386