Novel Image Analysis-Based Method for Residence Time Distribution Analysis in Steelmaking Tundish

A digital image processing-based technique has been developed for residence time distribution (RTD) analysis in a steelmaking tundish. This work presents an alternative approach to current RTD analysis techniques like tracer dispersion analysis, particle image velocimetry, numerical analysis, etc. T...

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Bibliographic Details
Published in:Transactions of the Indian Institute of Metals 2021-02, Vol.74 (2), p.243-254
Main Authors: Nigam, Akriti, Gupta, Antariksh, Singh, Rajeev Kumar
Format: Article
Language:English
Subjects:
Chemistry and Materials Science
Corrosion and Coatings
Digital imaging
Image analysis
Image processing
Materials Science
Metallic Materials
Numerical analysis
Original Article
Particle image velocimetry
Pixels
Residence time distribution
Steel making
Tribology
Tundishes
Working fluids
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Summary:A digital image processing-based technique has been developed for residence time distribution (RTD) analysis in a steelmaking tundish. This work presents an alternative approach to current RTD analysis techniques like tracer dispersion analysis, particle image velocimetry, numerical analysis, etc. The video analysis method has been developed, and different process conditions have been evaluated. The physical model of a steelmaking tundish having water as a working fluid similar to the one which is used for RTD analysis through other methods has been used. New incoming fluid (water) has been identified using colored water so that all properties apart from color remain the same. The proposed method breaks the video into static frames, and through application of Lucas–Kanade method, the moving colored pixels in the region of interest are identified. Further intensity analysis of the moving colored pixels is done. In the present novel method, RTD curve is obtained by plotting the intensity of blue component at the outlet vs time. The obtained RTD from VT-LK method has been validated against conventional and established RTD technique widely used for RTD analysis.
ISSN:0972-2815
0975-1645
DOI:10.1007/s12666-020-02142-0