
This research constituted an effort toward the development of unified computational methodologies, solution algorithms, and finite element modeling/analysis strategies for interdisciplinary flow-thermalstructural problems. The philosophy and rationale advocated in the study was based on employing a common numerical methodology for each of the individual disciplines in conjunction with common computational algorithms for applicability to supercomputing systems in solving large-scale engineering problems. Various research activities included: • Development of new time integration algorithms for transient problems
The application areas included a wide range of engineering applications involving metal forming, casting, thermal degradation, and composite material processing. The overall efforts focused attention on providing new and effective approaches, for not only improving the existing applicability to supercomputing environments, but also toward providing an accurate understanding of the physics and mechanics relevant to multi-disciplinary engineering problems.
John Abraham, Graduate Student Researcher
Bayram Alakus, Graduate Student Researcher
Christianne Anderson, Graduate Student Researcher
Antonio F. Avila, Graduate Student Researcher
Sai Kumar Bathina, Graduate Student Researcher
Philip Cheung, Collaborative Researcher
Jaehyon Choi, Graduate Student Researcher
Mark Christianson, Graduate Student Researcher
Peter N. Chung, Graduate Student Researcher
Brian Henz, Graduate Student Researcher
Ramdev Kanapady, Graduate Student Researcher
Ram V. Mohan, Graduate Student Researcher
Nam D. Ngo, Graduate Student Researcher
Sukhpreet Singh Sandhu, Graduate Student Researcher
Desong Sha, Graduate Student Researcher
Dale Shires, U.S. Army Research Laboratory, Aberdeen, Maryland
Anak Somkanae, Undergraduate Student Researcher
Ho Nguyen Tran, Graduate Student Researcher
Radu Valasutean, Graduate Student Researcher
Ryan Vartanian, Graduate Student Researcher
Xianmin Zhou, Graduate Student Researcher
This information is available in alternative formats upon request by
individuals with disabilities. Please send email to
alt-format@msi.umn.edu
or call 612-624-0528.
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