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<p>Both particle image velocimetry (PIV) and laser Doppler velocimetry (LDV) represented relatively high-cost experimental techniques for velocity measurement in water modeling studies. This study presented a novel methodology for characterizing tundish flow fields through an innovative integration of ink diffusion experiments with digital image processing techniques. The approach employed ink as a flow tracer and utilized a comprehensive MATLAB-based algorithm incorporating background subtraction, image binarization, and grayscale linear interpolation to generate detailed velocity contour graph and vector graph directly from tundish water model experiments. Comparative validation against particle image velocimetry (PIV) measurements demonstrated good agreement between the two methods. Error analysis demonstrated the significant impact of contour grid size on the calculated speeds of the proposed method. The comparative evaluation revealed a minimum relative error of 9&#xa0;pct between the speeds obtained from this approach and those measured by PIV. The developed technique offered significant advantages for systematic tundish flow investigations, presenting a viable alternative to conventional PIV measurements with considerable potential for applications.</p>

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Deriving Tundish Flow Fields through Ink Diffusion Experiments Based on Image Processing

  • 期刊论文

  • 发表日期：

    2025年6月27日

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  • Dinghan Li,
  • Haojian Duan,
  • Wei Chen,
  • Lifeng Zhang

摘要

Both particle image velocimetry (PIV) and laser Doppler velocimetry (LDV) represented relatively high-cost experimental techniques for velocity measurement in water modeling studies. This study presented a novel methodology for characterizing tundish flow fields through an innovative integration of ink diffusion experiments with digital image processing techniques. The approach employed ink as a flow tracer and utilized a comprehensive MATLAB-based algorithm incorporating background subtraction, image binarization, and grayscale linear interpolation to generate detailed velocity contour graph and vector graph directly from tundish water model experiments. Comparative validation against particle image velocimetry (PIV) measurements demonstrated good agreement between the two methods. Error analysis demonstrated the significant impact of contour grid size on the calculated speeds of the proposed method. The comparative evaluation revealed a minimum relative error of 9 pct between the speeds obtained from this approach and those measured by PIV. The developed technique offered significant advantages for systematic tundish flow investigations, presenting a viable alternative to conventional PIV measurements with considerable potential for applications.