Howe Memorial Lecture
Monday, May 4, 2009 • 8–8:45 a.m. |
The 2009 Howe Memorial lecture will be held on Monday, May 4, 2009, in the America’s Center, St. Louis, Mo. The Howe Memorial Lecture was established in 1923 to honor Henry Marion Howe. Dr. Howe helped turn steelmaking from an art into a science with his gift of observation and deduction. He reviewed the experiments and breakthroughs of others and added to them with investigations of his own to establish metallography. The lecturer is selected in recognition of outstanding individual contributions to the science and practice of iron and steel metallurgy or metallography.
 The 2009 lecturer is Dr. Brian G. Thomas, Wilkins Professor of Mechanical Engineering at the University of Illinois and Director of the Continuous Casting Consortium. Dr. Thomas received his bachelor’s degree in metallurgical engineering from McGill University, Montreal, Canada, in 1979, and his Ph.D. in metallurgical engineering in 1985 from the University of British Columbia, Canada. He has worked in the Research departments of Algoma Steel, Sault Ste. Marie, Canada, and BHP in Melbourne, Australia. His research efforts focus on the development and application of computational models of the continuous casting of steel and related processes. Dr. Thomas has coauthored more than 200 papers on his research, which has been recognized with several awards, including a Presidential Young Investigator Award from NSF, Outstanding Young Manufacturing Engineer Award from SME, Xerox Award from UIUC, Distinguished Scientist/Engineer Award from TMS, and more than 10 best paper awards from AFS, AIME, ISS, AIST, TMS, CIM and ASM International. He has given over 100 presentations worldwide and co-instructed many short courses to transfer technology to industry, including the annual Brimacombe Continuous Casting Course.
Dr. Thomas’s lecture will focus on the following: "Industry Implementation of Mathematical Models: Examples in Steel Processing."
Abstract: Mathematical process models can be applied in many different ways to serve industry by inducing beneficial changes to process operation. These include fully online models, semi-online models, offline models and literature models. Process models range from empirical to mechanistic in nature and vary in complexity from simple analytical solutions to coupled, 3-D transient numerical simulations. Advances in computing have enabled tremendous increases in the power of models over the years. Examples are taken from the author’s experience in modeling the continuous casting of steel and related processes.
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