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Effective evaluation of interfacial energy by matching precipitate sizes measured along a composition gradient with Kampmann-Wagner numerical (KWN) modeling

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Makineni,  Surendra Kumar
Atom Probe Tomography, Microstructure Physics and Alloy Design, Max-Planck-Institut für Eisenforschung GmbH, Max Planck Society;
Department of Materials Science and Engineering, University of Michigan, Ann Arbor, MI 48109, USA;

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Citation

Zhang, Q., Makineni, S. K., Allison, J. E., & Zhao, J.-C. (2019). Effective evaluation of interfacial energy by matching precipitate sizes measured along a composition gradient with Kampmann-Wagner numerical (KWN) modeling. Scripta Materialia, 160, 70-74. doi:10.1016/j.scriptamat.2018.09.048.


Cite as: https://hdl.handle.net/21.11116/0000-0008-2B68-4
Abstract
A dual-anneal diffusion multiple was utilized to generate a composition gradient via a first anneal at a high temperature followed by a second anneal at a lower temperature to induce phase precipitation as a function of composition/supersaturation. By adjusting the interfacial energy value in simulations using the classical nucleation and growth theories as implemented in the Kampmann-Wagner numerical (KWN) model and matching the simulated average precipitate sizes at different compositions with the experimental measurements along the composition gradient, the Ni 3 Al/fcc interfacial energy in the Ni-Al system at 700 °C was effectively determined to be ~12 mJ/m 2 . © 2018 Acta Materialia Inc.