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Mathematics

Dr. Bernard Xu

Location:
AD205
Administration Building
Hawthorn Campus

Phone: (03) 9214 8332
Fax: (03) 9214 8264

Email: xxu@swin.edu.au

Dr Bernard XU
B. Eng (JMT), MS (CUMT), Ph D (BUST)

Main Research Interests
  • Fluid Dynamics
  • Mechanical & Chemical Engineering
  • Industrial Management
  • Mathematical Modelling
Selected Publications
  • XU X D, The research on the mechanism of water jet assisted rock crashing, Journal of LIANGYUNGANG Technical University, (ISSN 1008-7079), No.1, 1999. P36-38.
  • XU X D, et al, Limited elementary analysis of water jet combined with mechanical tools breaking hard rock, Journal of LIANYUNGANG Technical University, (ISSN 1008-7079),No.3, 1999, P38-41.
  • XU X D, et al, Theoretical and experimental study on coal comminution by water jet. Proceeding of the 7th China-Japan Symposium on Coal and C1 Chemistry Conference, May 13-16, 2001.
  • Research Book: GUO CW , XU X D, Comminution Technology with Cavitation Abrasive Water Jet, China Science and Culture Publishing House, ISBN 962-8467-23-9/G.112, Jan 2002.
  • Patent: A kind of water jet impulse and cavitation comminuting machine, CN01129872.3.
  • Patent: Abrasive water jetting swift high way cutter, CN1632227.
  • Patent: Water jetting cleaner and cutter for vegetable and fruit, CN1631625.
  • Patent: High way quick restore installation with slurry water jet, CN200420103288.7
  • XU X D, et al, the mechanism of water jet assisting rock cutter, Coal Mine Machinery, ISSN1003-0794, CN23-1280/TD, No.9, 2003
  • XU X D, et al, Coal particle comminution with water jetting, Coal Machining and poly utilization, ISSN 1005-8397, CN11/TD, No.9, 2003.
  • J L XU, Z Q ZHOU, XU X D, Molecular dynamics simulation of micro-poiseuille flow for liquid argon in nano-scale, International Journal of Numerical Methods for Heat & Fluid Flow, Vol.14, No.5, 2004.
PhD Research Area
Analysis of bubble Flow in Al Cells Using Multivariate Statistical Techniques Aim
The aims of this project are as follows:
  1. Develop multivariate statistical techniques to provide rapid image analysis of bubbling flow in cold models of metallurgical processes.
  2. Develop multivariate statistical techniques for simultaneous analysis of acoustic and image data generated from bubbling flow in cold models of metallurgical processes.
  3. Apply these techniques to cold models of Al cells.
  4. Evaluate the use of these techniques in industrial system.