Integration of CFD and EFD for Experiential Learning in Fluid Mechanics

Quamrul H. Mazumder; Mohammed Aslam; Fardeen Mazumder

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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: 1666

Paper Authors

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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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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.

Citation
Format

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

TY - CPAPER
AB - 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.

AU - Quamrul H. Mazumder
AU - Mohammed Aslam
AU - Fardeen Mazumder
CY - Virtual On line
DA - 2020/06/22
PB - ASEE Conferences
TI - Integration of CFD and EFD for Experiential Learning in Fluid Mechanics
UR - https://peer.asee.org/34851
DO - 10.18260/1-2--34851
ER -