In-situ characterization of highly reversible phase transformation by synchrotron X-ray Laue microdiffraction

Xian Chen, Nobumichi Tamura, Alastair Macdowell, Richard D. James

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Abstract

The alloy Cu25Au30Zn45 undergoes a huge first-order phase transformation (6% strain) and shows a high reversibility under thermal cycling and an unusual martensitc microstructure in sharp contrast to its nearby compositions. This alloy was discovered by systematically tuning the composition so that its lattice parameters satisfy the cofactor conditions (i.e., the kinematic conditions of compatibility between phases). It was conjectured that satisfaction of these conditions is responsible for the enhanced reversibility as well as the observed unusual fluid-like microstructure during transformation, but so far, there has been no direct evidence confirming that these observed microstructures are those predicted by the cofactor conditions. To verify this hypothesis, we use synchrotron X-ray Laue microdiffraction to measure the orientations and structural parameters of variants and phases near the austenite/martensite interface. The areas consisting of both austenite and multi-variants of martensite are scanned by microLaue diffraction. The cofactor conditions have been examined from the kinematic relation of lattice vectors across the interface. The continuity condition of the interface is precisely verified from the correspondent lattice vectors between two phases.

Original languageEnglish (US)
Article number211902
JournalApplied Physics Letters
Volume108
Issue number21
DOIs
StatePublished - May 23 2016

Bibliographical note

Funding Information:
X.C. and R.D.J. acknowledge the financial support of MURI Project No. FA9550-12-1-0458 (administered by AFOSR). This research is also benefited from the support of XC's Start-up Fund B002-0172-R9358 (by UGC) and from the support of AFOSR (FA9550-15-1-0207), ONR (N00014-14-0714), and NSF/PIRE (OISE-0967140) to R.D.J. The Advanced Light Source is supported by the Director, Office of Science, Office of Basic Energy Sciences, of the U.S. Department of Energy under Contract No. DE-AC02-05CH11231. The data analysis used resources of the National Energy Research Scientific Computing Center, a DOE Office of Science User Facility supported by the Office of Science of the U.S. Department of Energy under Contract No. DE-AC02-05CH11231.

Publisher Copyright:
© 2016 Author(s).

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