Attenuation of sound signals in foams for the basic oxygen furnace using physical modelling techniques

Author:

Heenatimulla Jason12ORCID,Brooks Geoffrey12ORCID,Dunn Michelle23,Sly David245,Snashall Rod26,Leung Wang26

Affiliation:

1. Fluid and Process Dynamics (FPD) Group, Department of Mechanical and Product Design Engineering, Swinburne University of Technology, Hawthorn, Australia

2. ARC Research Hub for Australian Steel Innovation, University of Wollongong, Wollongong, Australia

3. Department of Engineering Technologies, Swinburne University of Technology, Hawthorn, Australia

4. Department of Health and Biostatistics, Swinburne University of Technology, Hawthorn, Australia

5. Ear Science Institute Australia, Subiaco, Australia

6. BlueScope Steel Limited, Melbourne, Australia

Abstract

The control of slag foaming is important for optimising basic oxygen furnace (BOF) performance. Acoustics systems monitoring wide frequency bandwidths have been applied to BOF monitoring for the purpose of understanding slag foam height and density but there is limited information about their accuracy and repeatability. Improved understanding of the fundamental behaviour of sound in slag foam could help resolve these issues. In this cold physical model study using, aqueous foams generated in a cylindrical vessel were used to study the attenuation of sound in large samples of foam. Sound pulses over the range of 201 to 1801 Hz were transmitted through varying aqueous foam heights of 100 to 250 mm and acoustic signals detected via a measurement microphone were analysed. The results indicated aqueous foams consisting of smaller bubbles in the range of 0.4 to 0.75 mm with visibly thicker outer films displayed a stronger correlation between the attenuated sound and the stationary foam heights. It was also observed that frequencies above 1009 Hz were more sensitive in terms of their attenuation in varying foam heights and the time-dependant drainage of bubbles compared to lower frequencies. These frequencies were generally higher than those used for industrial slag foam monitoring systems.

Funder

Australian Research Council Industrial Transformation Research Hubs Scheme

Publisher

SAGE Publications

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