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dc.contributor.author
Sumarli, Shieren
dc.contributor.author
Polatidis, Efthymios
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dc.contributor.author
Malamud, Florencia
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dc.contributor.author
Busi, Matteo
dc.contributor.author
Navarre, Claire
dc.contributor.author
Esmaeilzadeh, Reza
dc.contributor.author
Logé, Roland
dc.contributor.author
Strobl, Markus
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dc.date.available
2023-11-23T14:53:58Z
dc.date.issued
2022-11
dc.identifier.citation
Sumarli, Shieren; Polatidis, Efthymios; Malamud, Florencia; Busi, Matteo; Navarre, Claire; et al.; Neutron Bragg edge imaging for strain characterization in powder bed additive manufacturing environments; Elsevier; Journal of Materials Research and Technology; 21; 11-2022; 4428-4438
dc.identifier.issn
2238-7854
dc.identifier.uri
http://hdl.handle.net/11336/218530
dc.description.abstract
Spatially resolved studies of crystalline structures, e.g. lattice spacings, are enabled by recording the transmitted spectra in neutron Bragg edge imaging. The recorded signals are, however, a result of through-thickness averaging of the probed specimen in the beam direction. Therefore, it is challenging to extract the strain distribution when the strain varies across the thickness, which applies for studies on different materials or material states along the beam. Here we introduce the approach to disentangle contributions to the recorded signals, i.e. separating the transmission spectra of two different material states. This is particularly applicable to powder bed additive manufacturing environments where operando strain characterization of the printed specimen using neutrons is intended. In this work, Laser Powder Bed Fusion (PBF-LB/M)-built 316L and IN718 samples embedded in their corresponding powders are used, extracting the desired spectra of the printed specimen. The disentanglement is proven to be satisfactory by obtaining coinciding strain maps of identical specimens embedded in powder layers of different thicknesses. Furthermore, the obtained residual strain distributions of 316L samples were verified by conventional neutron diffraction with lower spatial resolution due to the gauge volume averaging.
dc.format
application/pdf
dc.language.iso
eng
dc.publisher
Elsevier
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dc.rights
info:eu-repo/semantics/openAccess
dc.rights.uri
https://creativecommons.org/licenses/by/2.5/ar/
dc.subject
LASER POWDER BED FUSION
dc.subject
NEUTRON BRAGG EDGE IMAGING
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NEUTRON DIFFRACTION
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NEUTRON TRANSMISSION ANALYSIS
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NON-DESTRUCTIVE STRAIN MEASUREMENT
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STRAIN MAPPING
dc.subject.classification
Ingeniería de los Materiales
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dc.subject.classification
Ingeniería de los Materiales
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dc.subject.classification
INGENIERÍAS Y TECNOLOGÍAS
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dc.title
Neutron Bragg edge imaging for strain characterization in powder bed additive manufacturing environments
dc.type
info:eu-repo/semantics/article
dc.type
info:ar-repo/semantics/artículo
dc.type
info:eu-repo/semantics/publishedVersion
dc.date.updated
2023-11-15T15:53:21Z
dc.journal.volume
21
dc.journal.pagination
4428-4438
dc.journal.pais
Países Bajos
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dc.journal.ciudad
Amsterdam
dc.description.fil
Fil: Sumarli, Shieren. Paul Scherrer Institute; Suiza. École Polytechnique Fédérale de Lausanne; Suiza
dc.description.fil
Fil: Polatidis, Efthymios. Paul Scherrer Institute; Suiza
dc.description.fil
Fil: Malamud, Florencia. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Patagonia Norte; Argentina. Paul Scherrer Institute; Suiza
dc.description.fil
Fil: Busi, Matteo. Paul Scherrer Institute; Suiza
dc.description.fil
Fil: Navarre, Claire. École Polytechnique Fédérale de Lausanne; Suiza
dc.description.fil
Fil: Esmaeilzadeh, Reza. École Polytechnique Fédérale de Lausanne; Suiza
dc.description.fil
Fil: Logé, Roland. École Polytechnique Fédérale de Lausanne; Suiza
dc.description.fil
Fil: Strobl, Markus. Paul Scherrer Institute; Suiza
dc.journal.title
Journal of Materials Research and Technology
dc.relation.alternativeid
info:eu-repo/semantics/altIdentifier/url/https://www.sciencedirect.com/science/article/pii/S2238785422017537
dc.relation.alternativeid
info:eu-repo/semantics/altIdentifier/doi/http://dx.doi.org/10.1016/j.jmrt.2022.11.047
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