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Integration of CFD and EFD for Experiential Learning in Fluid Mechanics

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Conference

2020 ASEE Virtual Annual Conference Content Access

Location

Virtual On line

Publication Date

June 22, 2020

Start Date

June 22, 2020

End Date

June 26, 2021

Conference Session

Mechanical Engineering Technical Session: Fluid Mechanics

Tagged Division

Mechanical Engineering

Page Count

17

DOI

10.18260/1-2--34851

Permanent URL

https://peer.asee.org/34851

Download Count

399

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Paper Authors

biography

Quamrul H. Mazumder University of Michigan, Flint

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Dr. Quamrul Mazumder is currently a professor of mechanical engineering at University of Michigan-Flint. His areas of research include computational fluid dynamics, multiphase flow, quality in higher education, metacognition, motivation, and engagement of students. He is a Fulbright scholar travelled around the world to promote quality and globalization of higher education.

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Mohammed Aslam University of Michigan, Flint

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Mohammed Aslam Biography:
Mechanical Engineer, Graduated with master’s in mechanical engineering from Wayne state university in 1981
• Currently a Part time faculty at UM Flint Campus
• Recently retired from Delphi as senior staff engineer
• 30 years of automotive experience in product design and development
• Recipient of various patents in pump technology and presented paper in SAE symposium
• Board member of Flint Islamic Center and school board member of Genesee Academy

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biography

Fardeen Mazumder University of Michigan, Flint

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Undergraduate Research Assistant, University of Michigan-Flint, USA

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Abstract

Computational Fluid Dynamics (CFD) has become an essential tool for the solution and analysis of fluid mechanics and heat transfer problems over the past few decades. CFD simulation can provide valuable insight into fluid flow behavior and proven to be a feasible tool for modeling complex fluid flow phenomena with a better understanding of the flow characteristics. CFD analysis uses physical laws to provide solutions for fluid flow problems in the form of partial differential equations. The undergraduate fluid mechanics curriculum is primarily based on analytical fluid mechanics (AFD) where students are required to solve problems using conservation of mass, momentum and energy equations. Solutions of differential and integral equations required for analysis of fluid flow characteristics may pose challenges as students are not be able to fully comprehend the concepts and may become disinterested in the subject. The integration of CFD into fluid mechanics curriculums is important as it can provide in-depth knowledge and understanding of flow behavior using visual images and graphical user interfaces. A commercial CFD code FLUENT was used to introduce concepts and applications of computational fluid dynamics in an undergraduate fluid mechanics course. Three different analyses were performed to study fluid flow using CFD: blood flow through an artery, airflow over the airfoil, and particulate multiphase flow in elbow geometry. To validate the CFD analysis results, the experimental fluid dynamics (EFD) approach was introduced to analyze flow over an airfoil and flow inside an elbow. A wind tunnel was used to perform experiments to measure the flow over an airfoil Using all three approaches (AFD, CFD, and EFD) in the undergraduate fluid mechanics course provided better knowledge and understanding of different fluid flow phenomenon. Students were able to visualize the flow characteristics using both Eulerian and Lagrangian methods. A survey was conducted to assess student learning and their perception of the integration of CFD and EFD. The results of the survey showed positive feedback with an improved understanding of fluid flow characteristics. The motivations of students were also increased along with their skills in using approaches to solve complex fluid flow problems.

Mazumder, Q. H., & Aslam, M., & Mazumder, F. (2020, June), Integration of CFD and EFD for Experiential Learning in Fluid Mechanics Paper presented at 2020 ASEE Virtual Annual Conference Content Access, Virtual On line . 10.18260/1-2--34851

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