Reconstruction of three-dimensional grain structure in polycrystalline iron via an interactive segmentation method

Min-nan Feng; Yu-cong Wang; Hao Wang; Guo-quan Liu; Wei-hua Xue

doi:10.1007/s12613-017-1403-8

Volume 24 Issue 3

Mar. 2017

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Article Navigation > International Journal of Minerals, Metallurgy and Materials > 2017 > 24(3): 257-263

Min-nan Feng, Yu-cong Wang, Hao Wang, Guo-quan Liu, and Wei-hua Xue, Reconstruction of three-dimensional grain structure in polycrystalline iron via an interactive segmentation method, Int. J. Miner. Metall. Mater., 24(2017), No. 3, pp. 257-263. https://doi.org/10.1007/s12613-017-1403-8

Cite this article as:

Min-nan Feng, Yu-cong Wang, Hao Wang, Guo-quan Liu, and Wei-hua Xue, Reconstruction of three-dimensional grain structure in polycrystalline iron via an interactive segmentation method, Int. J. Miner. Metall. Mater., 24(2017), No. 3, pp. 257-263. https://doi.org/10.1007/s12613-017-1403-8

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Research Article

Reconstruction of three-dimensional grain structure in polycrystalline iron via an interactive segmentation method

+ Author Affiliations

Corresponding author:
Hao Wang E-mail: hwang@ustb.edu.cn
Received: 7 September 2016; Revised: 30 September 2016; Accepted: 10 October 2016

Abstract

Abstract

Using a total of 297 segmented sections, we reconstructed the three-dimensional (3D) structure of pure iron and obtained the largest dataset of 16254 3D complete grains reported to date. The mean values of equivalent sphere radius and face number of pure iron were observed to be consistent with those of Monte Carlo simulated grains, phase-field simulated grains, Ti-alloy grains, and Ni-based super alloy grains. In this work, by finding a balance between automatic methods and manual refinement, we developed an interactive segmentation method to segment serial sections accurately in the reconstruction of the 3D microstructure; this approach can save time as well as substantially eliminate errors. The segmentation process comprises four operations:image preprocessing, breakpoint detection based on mathematical morphology analysis, optimized automatic connection of the breakpoints, and manual refinement by artificial evaluation.
- polycrystalline iron;
- three-dimensional structure;
- grain boundaries;
- image processing;
- digitizers

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References

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