Particle Image Velocimetry Measurements Inside Water Models at University of Toronto

The full-scale mold water model at University of Toronto simulates fluid flow inside a continuous caster mold at various casting conditions. A PIV device coupled with a high-speed camera is used to obtain flow velocity data from this water model. The raw data is then processed by a Python program to generate visual plots, animations and quantitative metrics for comparing flow patterns. A simple scale pipe-flow water model was also constructed to validate the PIV measurements using analytical and computational fluid dynamics calculations. This paper will present key results and conclusions from experiments conducted at these two water models.

Authors:

Nicolas Rebollo Canedo-Arguelles | University of Toronto
 

Anthony Sergnese | University of Toronto
 

Duru Bektas | University of Toronto
 

Saeid Amirzadeh | University of Toronto
 

Jackie Leung | ArcelorMittal Global R&D
 

Donghui Li | University of Toronto
 

Mansoor Barati | University of Toronto
 

Dr. Joydeep Sengupta | ArcelorMittal Global R&D
 

Markus Bussmann | University of Toronto
 

Session Chairs:

Manh Kha TRINH | ArcelorMittal Dofasco G.P.
 

Nick Gregurich | Cleveland-Cliffs Burns Harbor
 

Darrell Sturgill | HWI, A Member of Calderys