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Intrinsic nano-diffusion-couple for studying high temperature diffusion in multi-component superalloys

Eggeler, Yolita M. ORCID iD icon; Kubacka, Dorota; Pichler, Peter; Wu, Mingjian; Spiecker, Erdmann

Abstract:

We present a new approach for the quantitative study of high-temperature diffusion in compositionally complex superalloys on the nano-scale. As key element, the approach utilizes the γ/γ'-microstructure itself as intrinsic nano-diffusion-couple (NDC). By establishing equilibrium at one temperature followed by annealing at a different temperature, well-defined transient states are generated which are studied using STEM-EDXS. We demonstrate this approach for a multi-component superalloy of CMSX-4 type. The temporal evolution of element concentrations is consistently revealed for γ- and γ'-forming elements and is compared to diffusion simulations based on DICTRA. Excellent agreement is obtained for Ni, Co, and Cr whereas diffusion of Al and, in particular, Re lacks behind in experiment. Finally, it is demonstrated that transient states can also be captured by in situ TEM using chip-based heating devices. The NDC approach offers great opportunities for diffusion studies in compositionally complex superalloys and might be extended to other two-phase multi-component systems.


Verlagsausgabe §
DOI: 10.5445/IR/1000125881
Veröffentlicht am 10.11.2020
Originalveröffentlichung
DOI: 10.1016/j.scriptamat.2020.10.002
Scopus
Zitationen: 9
Web of Science
Zitationen: 8
Dimensions
Zitationen: 10
Cover der Publikation
Zugehörige Institution(en) am KIT Laboratorium für Elektronenmikroskopie (LEM)
Universität Karlsruhe (TH) – Zentrale Einrichtungen (Zentrale Einrichtungen)
Publikationstyp Zeitschriftenaufsatz
Publikationsjahr 2021
Sprache Englisch
Identifikator ISSN: 1359-6462, 1872-8456
KITopen-ID: 1000125881
Erschienen in Scripta materialia
Verlag Elsevier
Band 192
Seiten 120–124
Schlagwörter Compositionally complex superalloys; Multi-component diffusion; Solute segregation; In situ TEM; DICTRA simulation
Nachgewiesen in Web of Science
Dimensions
Scopus
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