An Aqueous Particle Sensor (APS) for Micro-Bubble Detection in a Fourstrand, Full-Scale, Water Model Tundish

Canadian Institute of Mining, Metallurgy and Petroleum
X. K. Cao S. Chang C. H. Hsin L. Calzado M. Isac McGill Metals Processing Centre
Organization:
Canadian Institute of Mining, Metallurgy and Petroleum
Pages:
12
File Size:
3059 KB
Publication Date:
Jan 1, 2016

Abstract

"Due to the increasingly stringent cleanliness requirements for final steel products, there has been a growing interest in the possible use of micro-bubbles for the removal of inclusions with diameters smaller than ~50µm, present within the steel passing through a steelmaking tundish. However, several technological barriers have prevented the adoption of this technique in industry. These are related to a) the generation of micro-bubbles in liquid steel, b) the measurement of bubble size distributions, and c) the optimization of bubble injection conditions to create micro-bubbles. In the present study, a novel Aqueous Particle Sensor (APS) system was developed for the in-situ, on-line, detection of micro-bubbles in water, generated by a newly designed full-scale ladle shroud, located at McGill Metal Processing Centre (MMPC). Measurement results from the sensor were validated against bubble size data collected through a high speed camera and post-processed through the commercial software, Image J.Control variables and orthogonal experiments were designed to assess the dependence of average micro-bubble sizes and bubble size distributions on key experimental parameters. Those chosen were the air inlet flowrate, the distance of the gas injection port from the slide gate, and the number of injection ports used. The investigation demonstrated that the APS system can be successfully adapted to detect micro-bubbles up to ~800 micron diameters. Using this novel sensor, it was shown that multi-port injection using low air inlet flowrates, closer to the slide gate, were useful in forming small micro-bubbles within the flow through the ladle shroud. The results from the APS system were compared and validated against data resulting from an optical technique. INTRODUCTIONModern industry expects increasingly stringent cleanliness requirements for final cast products. Therefore, the numbers and sizes of inclusions need to be strictly controlled in steelmaking operations. Thus, the cleanliness of steel products depends on the amount, morphology and size distributions of nonmetallic inclusions in steel (Zhang L. & Thomas B., 2003). Since large, deep, tundishes provide longer nominal residence times for liquid steel passing through it to the exit SEN’s, this can provide the ideal place to separate inclusions, and bubbles can assist by removing help attach inclusions and float them to the top surface."
Citation

APA: X. K. Cao S. Chang C. H. Hsin L. Calzado M. Isac McGill Metals Processing Centre  (2016)  An Aqueous Particle Sensor (APS) for Micro-Bubble Detection in a Fourstrand, Full-Scale, Water Model Tundish

MLA: X. K. Cao S. Chang C. H. Hsin L. Calzado M. Isac McGill Metals Processing Centre An Aqueous Particle Sensor (APS) for Micro-Bubble Detection in a Fourstrand, Full-Scale, Water Model Tundish. Canadian Institute of Mining, Metallurgy and Petroleum, 2016.

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