Welcome
to the website for the UT Computational Fluid Dynamics (CFD) Laboratory,
an Engineering Science graduate program focus in the Department of Mechanical, Aerospace
and Biomedical Engineering (MABE). Herein you will find detailed information
on the various components in this graduate program, including current
research projects of the faculty and graduate students. It outlines as well our vision of the exciting
challenges, hence directions for future developments in CFD, in the context of advancements in
approximation theory, computer science and high performance computing and communications (HPCC) in
the Internet environment.
We hope this information is helpful for prospective graduate students, faculty of other institutions,
and engineers/scientists in industrial institutions with significant interest in
the computational engineering sciences in multi-disciplinary applications.
What's new:
Internet brings to engineering an entirely new venue for dissemination
of graduate level and/or professional education. Check out the following
opportunities/applications.
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Certificate in CFD:
newly organized, completely Internet-based graduate course sequence
constituted of ES 551, ES 552, ES 645 plus an elective. A hands-on CFD Laboratory course
(ES 652) for code applications in 3-dimensional validation-scale
CFD problem statements will be available shortly. Requires admittance to UT Graduate
School, counts as first 12 hours towards ES MSc in the computational
engineering sciences.
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Professional
Training:
on a self study basis, take any of the available computational
engineering sciences academic courses from the archives. Certificate
of completion available for each course, the schedule is completely yours.
Register directly with CFD Lab - Graduate School admission is
not a requirement.
Should you have any specific questions, contact:
Prof. A. J. Baker, PhD, PE
Director, UT CFD Laboratory
Engineering Science Graduate Program
MABE Department
316A Perkins Hall
Knoxville, TN 37996-2030
Tel: (865)-974-7674
Fax: (865)-974-6372
E-mail: ajbaker@utk.edu
Web: http://cfdlab.utk.edu
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Computational Fluid