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Size-dependent diffusion controls natural aging in aluminium alloys

Author

Listed:
  • Phillip Dumitraschkewitz

    (Montanuniversitaet Leoben)

  • Peter J. Uggowitzer

    (Montanuniversitaet Leoben
    ETH Zurich)

  • Stephan S. A. Gerstl

    (ETH Zurich
    ETH Zurich)

  • Jörg F. Löffler

    (ETH Zurich)

  • Stefan Pogatscher

    (Montanuniversitaet Leoben)

Abstract

A key question in materials science is how fast properties evolve, which relates to the kinetics of phase transformations. In metals, kinetics is primarily connected to diffusion, which for substitutional elements is enabled via mobile atomic-lattice vacancies. In fact, non-equilibrium vacancies are often required for structural changes. Rapid quenching of various important alloys, such as Al- or Mg-alloys, results for example in natural aging, i.e. slight movements of solute atoms in the material, which significantly alter the material properties. In this study we demonstrate a size effect of natural aging in an AlMgSi alloy via atom probe tomography with near-atomic image resolution. We show that non-equilibrium vacancy diffusional processes are generally stopped when the sample size reaches the nanometer scale. This precludes clustering and natural aging in samples below a certain size and has implications towards the study of non-equilibrium diffusion and microstructural changes via microscopy techniques.

Suggested Citation

  • Phillip Dumitraschkewitz & Peter J. Uggowitzer & Stephan S. A. Gerstl & Jörg F. Löffler & Stefan Pogatscher, 2019. "Size-dependent diffusion controls natural aging in aluminium alloys," Nature Communications, Nature, vol. 10(1), pages 1-6, December.
    • Handle: RePEc:nat:natcom:v:10:y:2019:i:1:d:10.1038_s41467-019-12762-w
    DOI: 10.1038/s41467-019-12762-w
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    Cited by:

    1. Shenghua Wu & Hanne S. Soreide & Bin Chen & Jianjun Bian & Chong Yang & Chunan Li & Peng Zhang & Pengming Cheng & Jinyu Zhang & Yong Peng & Gang Liu & Yanjun Li & Hans J. Roven & Jun Sun, 2022. "Freezing solute atoms in nanograined aluminum alloys via high-density vacancies," Nature Communications, Nature, vol. 13(1), pages 1-11, December.
    2. Yue Li & Ye Wei & Zhangwei Wang & Xiaochun Liu & Timoteo Colnaghi & Liuliu Han & Ziyuan Rao & Xuyang Zhou & Liam Huber & Raynol Dsouza & Yilun Gong & Jörg Neugebauer & Andreas Marek & Markus Rampp & S, 2023. "Quantitative three-dimensional imaging of chemical short-range order via machine learning enhanced atom probe tomography," Nature Communications, Nature, vol. 14(1), pages 1-11, December.

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