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Michael J. Bockelie
Executive Vice President, Government Programs
Email: bockelie reaction-eng.com
Summary
Dr. Bockelie has over 18 years experience in the fields
of Scientific Programming and Computer Aided Engineering. He has
spent the last 12 years working in the areas of mesh generation and
Computational Fluid Dynamics. He has conducted and published considerable
research on the topic of solution-adaptive mesh generation. He has
experience with: mixed language programming combining C++/C/FORTRAN;
software engineering practices; structured and unstructured grid
generation and flow solver methods; finite volume formulations;
and a variety of computing environments, hardware platforms and
computer architectures.
In his tenure at REI, Dr. Bockelie has split his focus between
modeling industrial systems and incorporating more flexible meshing
capabilities, improved software techniques and more robust numerical
methods into the suite of combustion simulation tools used by REI.
He has modeled several gas and coal fired systems, including
mineral processing kilns, injection tuyeres for metal processing
furnaces, tangentially fired boilers and numerous burner test
facilities. With respect to model improvements, he has developed
a Body Fitted Coordinate (BFC) version of the REI models for use
in special applications and is the PI for a DoE Phase II SBIR to
incorporate a localized mesh refinement (AMR) capability into
the REI combustion simulation tools.
In his current position, he is responsible for the technical
development of improved numerical methods into the suite of REI
combustion models and distribution and support of combustion software.
Education
- Ph.D., Engineering Mechanics, Columbia University, 1988
- M.S., Mechanical Engineering, University of Utah, 1985
- B.S., Mathematics, University of Utah, 1977
Experience
Professional Associations and Awards
- National Research Council Post Doctoral Fellow, NASA- Langley Research Center
- NASA Tech Brief award for work on Solution Adaptive methods for CFD
- NASA Letter of Excellence and NASA Team Excellence Awards as member of Computer Sciences Corporation Grid Generation Team
Additional Information
Publications
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