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Evaluation of stitching-induced strain uncertainties in extended-field-of-view in situ X-ray tomography
Malmö University, Faculty of Technology and Society (TS), Department of Materials Science and Applied Mathematics (MTM).ORCID iD: 0009-0007-9344-483X
2026 (English)In: Materials Characterization, Vol. 240, Part C, article id 116852Article in journal (Other academic) Published
Abstract [en]

High-resolution synchrotron X-ray tomography combined with digital volume correlation (DVC) enables characterization of three-dimensional strain fields. When local tomography is used to investigate specimens larger than the field of view (FOV), the resulting subvolumes must be stitched together to form a single volume, thereby introducing strain uncertainties in DVC analyses. The present work quantifies such strain uncertainties obtained from extended-FOV synchrotron X-ray tomography of an Al99.5 metal matrix syntactic foam. To achieve this, zero-strain repeated scans were performed on the specimen. Two local DVC strategies, regular-grid DVC and discrete DVC, were applied to the stitched volumes to quantify the spatial distribution and magnitude of strain uncertainties. Both approaches confirm a consistent spatial hierarchy of strain uncertainties. Non-overlapping regions exhibit uncertainties of approximately 0.06%, while overlapping regions show uncertainties of approximately 0.17% (Frobenius norm of the Green–Lagrangian strain tensor). The spatial distribution of strain uncertainty in the stitched volume indicates that uncertainties in overlapping regions are two to four times higher compared to non-overlapping regions. The zero-strain stitching uncertainty quantification method demonstrated here is recommended as a standard pre-characterization step for any DVC study involving stitched tomographic volumes.

Place, publisher, year, edition, pages
2026. Vol. 240, Part C, article id 116852
Keywords [en]
Synchrotron X-ray tomography; Digital volume correlation; Volume stitching; Strain uncertainty quantification
National Category
Materials Engineering
Identifiers
URN: urn:nbn:se:mau:diva-87829DOI: 10.1016/j.matchar.2026.116852OAI: oai:DiVA.org:mau-87829DiVA, id: diva2:2096687
Available from: 2026-08-31 Created: 2026-08-31 Last updated: 2026-09-01Bibliographically approved

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Tambe, Indrajeet

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