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Advanced Fluid Dynamics Principles
Study fluid behavior and flow dynamics, covering theoretical principles and advanced analysis of fluid systems, forces, and motion patterns.
Study fluid behavior and flow dynamics, covering theoretical principles and advanced analysis of fluid systems, forces, and motion patterns.
This advanced course offers a comprehensive exploration of fluid mechanics fundamentals, covering key topics such as continuum mechanics, hydrostatics, buoyancy, inviscid flow, and control volume analysis. Based on MIT's popular graduate-level class, the course equips you with the skills to apply governing equations, dimensional analysis, and scaling theory to develop physical models of complex fluid phenomena. You'll learn to analyze and solve sophisticated fluid flow problems relevant to various engineering disciplines. The course combines theoretical principles with practical applications, drawing examples from hydraulics, aerodynamics, hydrodynamics, and chemical process industries. This is the first part of a three-course sequence, providing a strong foundation for advanced study and research in fluid mechanics.
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What you'll learn
Apply continuum mechanics principles to fluid dynamics problems
Analyze hydrostatic systems and calculate buoyancy forces
Solve inviscid flow problems using Euler's equation and Bernoulli's theorem
Use control volume analysis for complex fluid flow scenarios
Apply dimensional analysis and scaling theory to develop physical models
Interpret the effects of streamline curvature on fluid behavior
Skills you'll gain
This course includes:
PreRecorded video
Graded assignments, exams
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Limited Access access
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There are 5 modules in this course
This course provides a rigorous introduction to advanced fluid mechanics, focusing on fundamental principles and their applications. It begins with the continuum viewpoint and equations of motion, establishing the theoretical framework for fluid analysis. The curriculum then covers hydrostatics, including fluid equilibrium and buoyancy concepts. A significant portion of the course is dedicated to inviscid flow, exploring Euler's equation, Bernoulli's integral, and the effects of streamline curvature. Students will learn to apply control volume theorems for mass conservation, linear and angular momentum, and thermodynamics. The course emphasizes the application of these principles to increasingly complex systems, bridging the gap between theoretical understanding and practical engineering problems. Throughout the course, students will engage with lecture videos, concept checks, practice problems, and extensive problem sets to reinforce their learning.
Continuum viewpoint and the equations of motion
Module 1
Hydrostatic analysis of fluids in static equilibrium, buoyancy
Module 2
Inviscid flow (differential approach): Euler's equation, Bernoulli's integral, and the effects of streamline curvature. The Mechanical Energy Equation
Module 3
Control volume theorems (integral approach): Mass conservation, linear momentum theorem, angular momentum theorem, first and second laws of thermodynamics.
Module 4
Application to increasingly complex systems
Module 5
Fee Structure
Instructors
1 Course
Expert in Complex Fluid Dynamics and Soft Matter Mechanics
Bavand Keshavarz is an Assistant Professor in the Thomas Lord Department of Mechanical Engineering and Materials Science at Duke University. After completing his B.S. from Sharif University of Technology and M.S. from the University of British Columbia, he earned his Ph.D. from MIT in 2017. His doctoral research focused on the nonlinear dynamics of complex fluids in fragmentation and fracture, developing new experimental tools for precise rheological measurements. His excellence in teaching was recognized through the Wunsch Foundation Silent Hoist and Crane Award in 2013 and 2017 for outstanding contributions as a teaching assistant in fluid mechanics courses at MIT.
1 Course
Pioneer in Learning Engineering and Digital Manufacturing Education
Dr. John Liu is a distinguished educator and researcher at MIT, where he leads the Learning Engineering and Practice (LEAP) Group as Principal Investigator. After earning his B.S. in Applied Physics from Caltech and both S.M. and Ph.D. in Mechanical Engineering from MIT, he has established himself as an innovator in engineering education and digital learning. His work spans multiple disciplines, including mixed reality, haptic experiences, and workforce development solutions, particularly focusing on addressing the manufacturing skills gap. As former Director of the Principles of Manufacturing MicroMasters program, he has helped transform manufacturing education through digital technology, reaching over 200,000 learners globally. His research interests encompass educational technology, MOOC development, and curriculum design, with particular emphasis on open-ended assessments for scalable education settings. His excellence in education has been recognized through awards including Best Paper at the American Society Engineering Education in 2020. Currently, he leads education and workforce development efforts for MIT's Manufacturing@MIT initiative while continuing to innovate in digital learning approaches.
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