Characterization of dendritic growth in Fe-C system using time-resolved X-ray tomography and physics-based filtering

• Yasuda, H

  Department of Materials Science and Engineering, Kyoto University

• Kawarasaki, T

  Department of Materials Science and Engineering, Kyoto University

• Tomiyori, Y

  Department of Materials Science and Engineering, Kyoto University

• Kato, Y

  Department of Materials Science and Engineering, Kyoto University

• Morishita, K

  Department of Materials Science and Engineering, Kyushu University

Abstract

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.

Joint 5th International Conference on Advances in Solidification Processes (ICASP-5) & 5th International Symposium on Cutting Edge of Computer Simulation of Solidification, Casting and Refining (CSSCR-5), 17–21 June 2019, Salzburg, Austria

Journal

• IOP Conference Series: Materials Science and Engineering

  IOP Conference Series: Materials Science and Engineering 529 (1), 012023-, 2019-05

  IOP Publishing

Details

• CRID: 1050283688009280128
• NII Article ID: 120006796401
• ISSN: 1757899X
• ISSN: 17578981
• DOI: 10.1088/1757-899x/529/1/012023
• HANDLE: 2433/245685
• Web Site: https://iopscience.iop.org/article/10.1088/1757-899X/529/1/012023/pdf
• Web Site: https://iopscience.iop.org/article/10.1088/1757-899X/529/1/012023
• Text Lang: en
• Article Type: journal article
• Data Source:
  • IRDB
  • Crossref
  • CiNii Articles
  • KAKEN