Areal surface texture data extraction from X-ray computed tomography reconstructions of metal additively manufactured parts
- Submitting institution
-
The University of Huddersfield
- Unit of assessment
- 12 - Engineering
- Output identifier
- 41
- Type
- D - Journal article
- DOI
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10.1016/j.precisioneng.2016.12.008
- Title of journal
- Precision Engineering
- Article number
- -
- First page
- 254
- Volume
- 48
- Issue
- -
- ISSN
- 0141-6359
- Open access status
- Compliant
- Month of publication
- December
- Year of publication
- 2016
- URL
-
-
- Supplementary information
-
-
- Request cross-referral to
- -
- Output has been delayed by COVID-19
- No
- COVID-19 affected output statement
- -
- Forensic science
- No
- Criminology
- No
- Interdisciplinary
- No
- Number of additional authors
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3
- Research group(s)
-
-
- Proposed double-weighted
- No
- Reserve for an output with double weighting
- No
- Additional information
- This is the world's first publication presenting extraction of surface texture data per ISO 25178 from X-ray computed tomography (CT) scans. This work led to an interlaboratory comparison, published in a Q1 journal, with participants including the UK's National Metrology Institute, NPL ( The National Physical Laboratory). The research also led to the award of a $700,000+ Innovate UK project (3-in-1 X-ray CT inspection, REF 103466), which included automation of the extraction process. This work also led to collaboration with a premier laboratory in the U.S.A, Lawrence Livermore National Laboratory, which funded a $15,000, 12 week sabbatical in California
- Author contribution statement
- -
- Non-English
- No
- English abstract
- -
