Characterization of dendritic growth in Fe-C system using time-resolved X-ray tomography and physics-based filtering
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- 安田, 秀幸
- Department of Materials Science and Engineering, Kyoto University
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- Kawarasaki, T
- Department of Materials Science and Engineering, Kyoto University
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- Tomiyori, Y
- Department of Materials Science and Engineering, Kyoto University
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- Kato, Y
- Department of Materials Science and Engineering, Kyoto University
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- Morishita, K
- Department of Materials Science and Engineering, Kyushu University
説明
Time-resolved in situ tomography of dendritic growth in Fe–0.45 mass% C carbon steel was performed using synchrotron radiation X-rays at SPring-8 synchrotron radiation facility (Japan) with improvement of the image quality using a physics-based filter. The voxel size of the reconstructed image was approximately 6.5 μm × 6.5 μm × 6.5 μm, and the time resolution (duration of 360° rotation) was 4 s (0.25 rps). Three-dimensional images of the dendrites were reconstructed even without image processing; however, the low contrast resolution in Fe–C alloys led to poor image quality. Consequently, it was impossible to precisely track the solid/liquid interface or evaluate the average curvature. To improve the image quality, a physics-based filter (a PF filter) was developed using a phase-field model. In the PF filter, images were retrieved in terms of interface curvature. The PF filter significantly improved the computed tomography image quality. As a result, dendritic growth was clearly observed even in Fe–C alloys. Moreover, the average curvature of the solid/liquid interface was evaluated as a function of solidification time (solid fraction). The ability to systematically characterize growing dendrites will be beneficial for modeling and simulation of solidification phenomena.
収録刊行物
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- IOP Conference Series: Materials Science and Engineering
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IOP Conference Series: Materials Science and Engineering 529 (1), 012023-, 2019-05
IOP Publishing
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詳細情報 詳細情報について
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- CRID
- 1050283688009280128
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- NII論文ID
- 120006796401
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- ISSN
- 1757899X
- 17578981
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- HANDLE
- 2433/245685
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- 本文言語コード
- en
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- 資料種別
- journal article
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- データソース種別
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