Skip navigation
  • Home
  • Browse
    • Communities
      & Collections
    • Browse Items by:
    • Publication Date
    • Author
    • Title
    • Subject
    • Department
  • Sign on to:
    • My MacSphere
    • Receive email
      updates
    • Edit Profile


McMaster University Home Page
  1. MacSphere
  2. Open Access Dissertations and Theses Community
  3. Open Access Dissertations and Theses
Please use this identifier to cite or link to this item: http://hdl.handle.net/11375/8647
Title: Modelling and measurement of unconfined bubbly two-phase plume flow
Authors: Sheng, Yuanyi
Advisor: Irons, G.A.
Department: Materials Science and Engineering
Keywords: Materials Science and Engineering;Materials Science and Engineering
Publication Date: 25-Sep-1992
Abstract: <p>Bubbly plume flow, which is encountered in many refining processes of the iron and steel making industry, has been studied with a water model ladle and simulated with a novel mathematical model. The main achievements of this project can be summarized as following: (1) A new experimental technique based on the Laser Doppler Anemometry and Electrical Probe has been developed to measure various flow parameters of the plume, such as: mean and turbulent liquid velocities, bubble velocities and distributions of void fraction and bubble frequency. (2) The turbulence feature and bubble behaviour in the gas/liquid two-phase zone has been experimentally studied with the newly developed LDA/EP technique in a water model ladle. It has been found that turbulence in the plume zone is close to an isotropic one and the relative velocity of bubbles is not affected by the void fraction in the plume. (3) A mathematical model based on the modified k-ε turbulence model has been developed to simulate the plume flow. The coefficients of the extra source terms of the modified k-ε model have been determined experimentally. The mathematical model yielded good predictions of both the mean and the turbulent liquid velocities. The behaviour of bubbles in the plume has also been dealt with to produce good predictions of the void fraction distributions.</p>
URI: http://hdl.handle.net/11375/8647
Identifier: opendissertations/3835
4852
1732370
Appears in Collections:Open Access Dissertations and Theses

Files in This Item:
File SizeFormat 
fulltext.pdf
Open Access
5.15 MBAdobe PDFView/Open
Show full item record Statistics


Items in MacSphere are protected by copyright, with all rights reserved, unless otherwise indicated.

Sherman Centre for Digital Scholarship     McMaster University Libraries
©2022 McMaster University, 1280 Main Street West, Hamilton, Ontario L8S 4L8 | 905-525-9140 | Contact Us | Terms of Use & Privacy Policy | Feedback

Report Accessibility Issue