Literature DB >> 15778716

Trans-interface diffusion-controlled coarsening.

Alan J Ardell1, Vidvuds Ozolins.   

Abstract

Accurate theoretical predictions of the volume-fraction dependence during diffusion-controlled coarsening of a polydisperse assembly of particles have proved difficult. Here, a new model of coarsening is presented, involving diffusive transport through the coherent interface between ordered and disordered phases, which atomistic calculations show has a ragged structure. The interface is a diffusion bottleneck when the ordered phase is dispersed. It is predicted that the square of the average radius grows linearly with time, that the depletion of solute decreases as the inverse square-root of time, and that there is no effect of volume fraction on kinetics and the scaled particle-size distributions. These differ dramatically from predictions of modern theories of diffusion-controlled coarsening. Data on coarsening in Ni-Al alloys is examined. We show that no other theory is consistent with the experimentally observed absence of an effect of volume fraction on coarsening of ordered gamma' (Ni3Al) precipitates in a disordered Ni-Al (gamma) matrix, and the strong volume-fraction dependence of coarsening of gamma precipitates in an ordered gamma' matrix.

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Year:  2005        PMID: 15778716     DOI: 10.1038/nmat1340

Source DB:  PubMed          Journal:  Nat Mater        ISSN: 1476-1122            Impact factor:   43.841


  11 in total

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2.  Metal-carbide eutectics with multiprincipal elements make superrefractory alloys.

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3.  Anomalous Growth Rate of Ag Nanocrystals Revealed by in situ STEM.

Authors:  Mingyuan Ge; Ming Lu; Yong Chu; Huolin Xin
Journal:  Sci Rep       Date:  2017-11-27       Impact factor: 4.379

4.  An in situ USAXS-SAXS-WAXS study of precipitate size distribution evolution in a model Ni-based alloy.

Authors:  Ross N Andrews; Joseph Serio; Govindarajan Muralidharan; Jan Ilavsky
Journal:  J Appl Crystallogr       Date:  2017-05-30       Impact factor: 3.304

5.  In-situ STEM imaging of growth and phase change of individual CuAlX precipitates in Al alloy.

Authors:  Chunhui Liu; Sairam K Malladi; Qiang Xu; Jianghua Chen; Frans D Tichelaar; Xiaodong Zhuge; Henny W Zandbergen
Journal:  Sci Rep       Date:  2017-05-19       Impact factor: 4.379

6.  Core-shell nanoparticle arrays double the strength of steel.

Authors:  J-B Seol; S-H Na; B Gault; J-E Kim; J-C Han; C-G Park; D Raabe
Journal:  Sci Rep       Date:  2017-02-22       Impact factor: 4.379

7.  Cellular Automata Modeling of Ostwald Ripening and Rayleigh Instability.

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Journal:  Materials (Basel)       Date:  2018-10-11       Impact factor: 3.623

8.  A nanoscale co-precipitation approach for property enhancement of Fe-base alloys.

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Journal:  Sci Rep       Date:  2013       Impact factor: 4.379

9.  Kinetics and Mechanisms of γ' Reprecipitation in a Ni-based Superalloy.

Authors:  F Masoumi; D Shahriari; M Jahazi; J Cormier; A Devaux
Journal:  Sci Rep       Date:  2016-06-24       Impact factor: 4.379

10.  Phase Segmentation in Atom-Probe Tomography Using Deep Learning-Based Edge Detection.

Authors:  Sandeep Madireddy; Ding-Wen Chung; Troy Loeffler; Subramanian K R S Sankaranarayanan; David N Seidman; Prasanna Balaprakash; Olle Heinonen
Journal:  Sci Rep       Date:  2019-12-27       Impact factor: 4.379

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