4.7 Article

On the formation of nano-sized precipitates during cooling of NiAl-strengthened ferritic alloys

Journal

MATERIALS CHARACTERIZATION
Volume 171, Issue -, Pages -

Publisher

ELSEVIER SCIENCE INC
DOI: 10.1016/j.matchar.2020.110722

Keywords

Iron alloys; Decomposition; Transmission electron microscopy (TEM); Atom probe tomography (APT); Cluster search algorithm

Funding

  1. German Research Foundation [SCHM 1182/19-2, HO 3322/3-1, WA 3818/1-1, KR 3687/3-1]

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This experimental study focuses on the characterization of hyperfine NiAltype precipitates in ferritic superalloys, with electron microscopy and atom probe tomography used to obtain size, crystallographic information, and chemical nature of the precipitates. A modified version of the maximum separation method for cluster selection is proposed for identifying the hyperfine precipitates in atom probe tomography reconstructions, allowing for precise localization without requiring user defined parameters. The formation of precipitates during sample cooling is shown to be a kinetically controlled process dominated by two different mechanisms depending on the temperature.
We present an experimental study on NiAltype precipitates in ferritic superalloys that aim for application as structural materials at high temperature. The focus of this study is on the characterization of hyperfine precipitates that form during sample cooling after the aging treatment and which have a strong influence on the alloys' room temperature hardness. Size and crystallographic information of the precipitates were obtained by electron microscopy. The chemical nature of different phases was analyzed by atom probe tomography (APT). In order to identify the hyperfine precipitates in APT reconstructions, a modified version of the maximum separation method for cluster selection is proposed. Instead of a separate erosion step, the proposed method makes use of a Delaunay tessellation which does not require any user defined input parameters and further, gives a direct access to the morphology of the clusters. The modified algorithm was tested on simulated datasets and then successfully applied to experimental datasets containing precipitates with radii down to one nanometer. The result of the chemical analysis shows that the formation of precipitates during sample cooling is a kinetically controlled process which is dominated by two different mechanisms in dependence on the temperature.

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