Please use this identifier to cite or link to this item: http://bura.brunel.ac.uk/handle/2438/29637
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dc.contributor.authorErnst, KR-
dc.contributor.authorErnst, TM-
dc.contributor.authorGärtner, F-
dc.contributor.authorAssadi, H-
dc.contributor.authorKlassen, T-
dc.date.accessioned2024-09-01T10:26:05Z-
dc.date.available2024-09-01T10:26:05Z-
dc.date.issued2023-09-01-
dc.identifierORCiD: Hamid Assadi https://orcid.org/0000-0001-5327-1793-
dc.identifier129970-
dc.identifier.citationErnst, K.R. et al. (2023) 'Bonding probabilities in cold spray deposition of composite blends', Surface and Coatings Technology, 473, 129970, pp. 1 - 18. doi: 10.1016/j.surfcoat.2023.129970.-
dc.identifier.issn0257-8972-
dc.identifier.urihttps://bura.brunel.ac.uk/handle/2438/29637-
dc.descriptionData availability: Data will be made available on request.en_US
dc.description.abstractCold gas spraying of metal alloys using single feedstock powder is well described in terms of impact conditions and critical velocities for bonding of similar particles. In contrast, the mechanism of layer build-up in cold spraying of dissimilar powder blends, especially where the particles have significantly different thermomechanical properties, is far from being fully established and has remained an open question. We explore this question by taking W-Cu and Mo-Cu as example blends of significantly dissimilar materials, with potential applications in thermal management systems. The current study aims mainly to provide a comprehensive overview of the electrical, mechanical and microstructural characteristics of the deposits formed under varied feedstock compositions. The experimental data are further interpreted in view of a statistical model for deposition, considering the different deformation behavior as well as the possibly even repulsive chemical interaction of the dissimilar particles. In this way, the model supplies a quantitative description of the observed deposition efficiency as a function of powder size and composition. The paper also discusses the scope of application of the findings and the model to other cold-sprayed composites or single alloy systems.en_US
dc.description.sponsorshipThis work was partly financed by the program “InnoNet”, grand no. 16IN0695 ,of the Federal Ministry of Economics and Technology of Germany.en_US
dc.format.extent1 - 18-
dc.format.mediumPrint-Electronic-
dc.languageEnglish-
dc.language.isoen_USen_US
dc.publisherElsevieren_US
dc.rightsCopyright © 2023 Elsevier. All rights reserved. This manuscript version is made available under the CC-BY-NC-ND 4.0 license https://creativecommons.org/licenses/by-nc-nd/4.0/ (see: https://www.elsevier.com/about/policies/sharing).-
dc.rights.urihttps://creativecommons.org/licenses/by-nc-nd/4.0/-
dc.titleBonding probabilities in cold spray deposition of composite blendsen_US
dc.typeArticleen_US
dc.date.dateAccepted2023-08-28-
dc.identifier.doihttps://doi.org/10.1016/j.surfcoat.2023.129970-
dc.relation.isPartOfSurface and Coatings Technology-
pubs.publication-statusPublished-
pubs.volume473-
dc.identifier.eissn1879-3347-
dc.rights.licensehttps://creativecommons.org/licenses/by-nc-nd/4.0/legalcode.en-
dc.rights.holderElsevier-
Appears in Collections:Brunel Centre for Advanced Solidification Technology (BCAST)

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