NASA Lewis Research Center/University Graduate Research Program on Engine Structures

NASA Lewis Research Center established a graduate research program in support of the Engine Structures Research activities. This graduate research program focuses mainly on structural and dynamics analyses, computational mechanics, mechanics of composites and structural optimization. The broad objectives of the program, the specific program, the participating universities and the program status are briefly described

Teaching Computational Fluid Dynamics (Cfd) To Design Engineers

© 2008 ASEEComputational Fluid Dynamics (CFD) can provide detailed thermal flow information, such as temperature field, pressure field and velocity field, in equipment and process in various industries. Due to the recent rapid growth of powerful computer resources and the development of commercial CFD software packages, CFD has been proven a useful tool for mechanical design engineers. CFD has also gained broad acceptance in the engineering education. It has been adopted in both undergraduate and graduate level courses in many universities. The teaching of CFD in current engineering education can be classified into two types, one is to focus on the numerical methods with little emphasis on using the software and the other is to introduce a CFD software as a virtual reality laboratory in Fluid Mechanics class without emphasis on teaching software. In the first type, students need strong mathematical background to succeed in the class and also need further training to effectively use modern commercial software for real industrial application. While in the second type, students only learned an abstract form of CFD processes, thus they will not be able to use CFD commercial software without further training in this area. This paper is about the use of CFD in teaching graduate students at this university who were in a two year design track program. Many of these students did not have a good background in mathematics, fluid dynamics, heat transfer, and programming, however, most of them were good at computer aided design in ProE and were very interested in learning CFD as a design tool in industries. STAR-CCM+ was chosen as the CFD software to teach students the entire CFD process in a single integrated software environment. After building a geometry model in ProE, students learned to import the CAD model, set up mesh model, physical model and solver, and postprocess the results in STAR-CCM+. Based on projects, CFD numerical methods and fundamentals of heat transfer and fluid flow were introduced to help students understand the CFD process, interpret, and validate simulation results

Teaching and Learning of Fluid Mechanics

This book contains research on the pedagogical aspects of fluid mechanics and includes case studies, lesson plans, articles on historical aspects of fluid mechanics, and novel and interesting experiments and theoretical calculations that convey complex ideas in creative ways. The current volume showcases the teaching practices of fluid dynamicists from different disciplines, ranging from mathematics, physics, mechanical engineering, and environmental engineering to chemical engineering. The suitability of these articles ranges from early undergraduate to graduate level courses and can be read by faculty and students alike. We hope this collection will encourage cross-disciplinary pedagogical practices and give students a glimpse of the wide range of applications of fluid dynamics

College of Engineering

Cornell University Courses of Study Vol. 94 2002/200

Advances in Modeling of Fluid Dynamics

This book contains twelve chapters detailing significant advances and applications in fluid dynamics modeling with focus on biomedical, bioengineering, chemical, civil and environmental engineering, aeronautics, astronautics, and automotive. We hope this book can be a useful resource to scientists and engineers who are interested in fundamentals and applications of fluid dynamics

Research and Education in Computational Science and Engineering

Over the past two decades the field of computational science and engineering (CSE) has penetrated both basic and applied research in academia, industry, and laboratories to advance discovery, optimize systems, support decision-makers, and educate the scientific and engineering workforce. Informed by centuries of theory and experiment, CSE performs computational experiments to answer questions that neither theory nor experiment alone is equipped to answer. CSE provides scientists and engineers of all persuasions with algorithmic inventions and software systems that transcend disciplines and scales. Carried on a wave of digital technology, CSE brings the power of parallelism to bear on troves of data. Mathematics-based advanced computing has become a prevalent means of discovery and innovation in essentially all areas of science, engineering, technology, and society; and the CSE community is at the core of this transformation. However, a combination of disruptive developments---including the architectural complexity of extreme-scale computing, the data revolution that engulfs the planet, and the specialization required to follow the applications to new frontiers---is redefining the scope and reach of the CSE endeavor. This report describes the rapid expansion of CSE and the challenges to sustaining its bold advances. The report also presents strategies and directions for CSE research and education for the next decade.Comment: Major revision, to appear in SIAM Revie

Educational Policies Committee Minutes, October 2, 2014

Subcommittee Reports Curriculum Subcommittee Course Approvals Program Proposals Academic Standards Subcommittee General Education Subcommitte