Journal article
Computationally guided alloy design and microstructure-property relationships for non-equiatomic Ti–Zr–Nb–Ta–V–Cr alloys with tensile ductility made by laser powder bed fusion
Materials science & engineering. A, Structural materials : properties, microstructure and processing, v 911, 146922
Sep 2024
Abstract
Single-phase body-centered cubic refractory complex concentrated alloys (RCCAs), exhibit strength retention at temperatures above the melting points of conventional Ni-based superalloys. However, their lack of room temperature tensile ductility leads to cracks during processing and/or premature failure under mechanical loading when fabricated by laser-based metals additive manufacturing (AM). We present an alloy design framework for tensile ductility in non-equimolar RCCAs amenable to AM processing within the Ti–V–Cr–Nb–Zr–Ta system. First, density functional theory (DFT) and machine learning informed screening of alloy compositions were used to down-select ∼106 alloys with potential for tensile ductility. Next, Scheil solidification modeling was used to eliminate compositions most at risk for micro-segregation and solidification cracking based on the estimated freezing range of each alloy. This led to the design of two new, representative alloys: Ti0.4Zr0.4Nb0.1Ta0.1 and Ti0.486V0.375Ta0.028Cr0.111. These alloys were evaluated for rapid solidification defect formation using in-situ synchrotron melt pool imaging, fabricated via laser powder bed fusion (L-PBF) AM, and then characterized for processing defects, microstructure, and mechanical properties. Overall, both alloys achieved tensile yield strengths >800 MPa and failure strains >5 %. However, the occurrence of un-melted powders of high melting point elements likely resulted in premature failure during tensile straining. Considerations about mitigating this defect source are discussed and the role of local micro-segregation on ductility are elucidated. Overall, these results highlight the success of our framework, and show potential for laser-based AM-RCCAs with tensile ductility.
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Details
- Title
- Computationally guided alloy design and microstructure-property relationships for non-equiatomic Ti–Zr–Nb–Ta–V–Cr alloys with tensile ductility made by laser powder bed fusion
- Creators
- Dillon Jobes - University of Michigan–Ann ArborDaniel Rubio-Ejchel - University of Michigan–Ann ArborLucero Lopez - University of Michigan–Ann ArborWilliam Jenkins - University of UtahAditya Sundar - University of Michigan–Ann ArborChristopher Tandoc - Drexel UniversityJacob Hochhalter - University of UtahAmit Misra - University of Michigan–Ann ArborLiang Qi - University of Michigan–Ann ArborYong-Jie Hu - Drexel UniversityJerard V. Gordon - University of Michigan–Ann Arbor
- Publication Details
- Materials science & engineering. A, Structural materials : properties, microstructure and processing, v 911, 146922
- Publisher
- Elsevier
- Number of pages
- 11
- Grant note
- NSF: DMR-2316762 Drexel UniversityDOE Office of Science: DE-AC02-06CH11357
The authors would like to thank John Roehling, Joe McKeown, and Thomas Voisin from Lawrence Livermore National Laboratory for assistance with AM processing on the DiAM system and helpful comments. The authors would also like to thank Samuel J. Clark and Kamel Fezza beamline scientists at APS 32-ID and Joseph Aroh from The Naval Research Laboratory for help with DXR data analysis. This work was partially supported by NSF DMR-2316762 as well as the startup fund from Drexel University. This research used resources of the Advanced Photon Source; a U.S. Department of Energy (DOE) Office of Science User Facility operated for the DOE Office of Science by Argonne National Laboratory under Contract No. DE-AC02-06CH11357.
- Resource Type
- Journal article
- Language
- English
- Academic Unit
- Pediatrics; Materials Science and Engineering
- Web of Science ID
- WOS:001347926700001
- Scopus ID
- 2-s2.0-85197740978
- Other Identifier
- 991021931901504721
InCites Highlights
Data related to this publication, from InCites Benchmarking & Analytics tool:
- Collaboration types
- Domestic collaboration
- Web of Science research areas
- Materials Science, Multidisciplinary
- Metallurgy & Metallurgical Engineering
- Nanoscience & Nanotechnology