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Abstract
Understanding how topologically close-packed phases (TCPs) transform between one another is one of the challenging puzzles in solid-state transformations. Here we use atomic-resolved tools to dissect the transition among TCPs, specifically the μ and P (or σ) phases in nickel-based superalloys. We discover that the P phase originates from intrinsic (110) faulted twin boundaries (FTB), which according to first-principles calculations is of extraordinarily low energy. The FTB sets up a pathway for the diffusional in-flux of the smaller 3d transition metal species, creating a Frank interstitial dislocation loop. The climb of this dislocation, with an unusual Burgers vector that displaces neighboring atoms into the lattice positions of the product phase, accomplishes the structural transformation. Our findings reveal an intrinsic link among these seemingly unrelated TCP configurations, explain the role of internal lattice defects in facilitating the phase transition, and offer useful insight for alloy design that involves different complex phases.
It is challenging to study how topologically close-packed phases (TCPs) transform between one phase to another. Here the authors use atomic-resolved tools to look at the transformation between μ and P phases, revealing an intrinsic link between seemingly unrelated TCP configurations.
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1 Institute of Microstructure and Property of Advanced Materials, Beijing University of Technology, Beijing, China (GRID:grid.28703.3e) (ISNI:0000 0000 9040 3743); Shandong University, School of Materials Science & Engineering, Jinan, China (GRID:grid.27255.37) (ISNI:0000 0004 1761 1174); Center for Alloy Innovation and Design (CAID), State Key Laboratory for Mechanical Behavior of Materials, Xi’an Jiaotong University, Xi’an, China (GRID:grid.43169.39) (ISNI:0000 0001 0599 1243); Zhejiang University, School of Materials Science & Engineering, Hangzhou, China (GRID:grid.13402.34) (ISNI:0000 0004 1759 700X); Beijing Advanced Innovation Center for Intelligent Robots and Systems and Institute of Engineering Medicine, Beijing Institute of Technology, Beijing, China (GRID:grid.43555.32) (ISNI:0000 0000 8841 6246)
2 Shandong University, School of Materials Science & Engineering, Jinan, China (GRID:grid.27255.37) (ISNI:0000 0004 1761 1174)
3 Shandong University, School of Materials Science & Engineering, Jinan, China (GRID:grid.27255.37) (ISNI:0000 0004 1761 1174); Institute of Systems Engineering, AMS, PLA, Beijing, China (GRID:grid.27255.37)
4 Shandong University, School of Materials Science & Engineering, Jinan, China (GRID:grid.27255.37) (ISNI:0000 0004 1761 1174); Shandong Laboratory of Yantai Advanced Materials and Green Manufacturing, Yantai, P. R. China (GRID:grid.27255.37)
5 Institute of Microstructure and Property of Advanced Materials, Beijing University of Technology, Beijing, China (GRID:grid.28703.3e) (ISNI:0000 0000 9040 3743)
6 Beijing Advanced Innovation Center for Intelligent Robots and Systems and Institute of Engineering Medicine, Beijing Institute of Technology, Beijing, China (GRID:grid.43555.32) (ISNI:0000 0000 8841 6246)
7 Center for Alloy Innovation and Design (CAID), State Key Laboratory for Mechanical Behavior of Materials, Xi’an Jiaotong University, Xi’an, China (GRID:grid.43169.39) (ISNI:0000 0001 0599 1243)
8 Institute of Microstructure and Property of Advanced Materials, Beijing University of Technology, Beijing, China (GRID:grid.28703.3e) (ISNI:0000 0000 9040 3743); Zhejiang University, School of Materials Science & Engineering, Hangzhou, China (GRID:grid.13402.34) (ISNI:0000 0004 1759 700X)