Enroll Course: https://www.coursera.org/learn/applied-computational-fluid-dynamics
For anyone looking to dive deep into the world of Computational Fluid Dynamics (CFD) and enhance their career prospects, Coursera’s ‘Applied Computational Fluid Dynamics’ course is a highly recommended resource. This course provides a comprehensive and practical approach to understanding and simulating fluid flow and heat transfer problems, primarily utilizing the powerful Simcenter STAR-CCM+ software.
The syllabus is thoughtfully structured, starting with the fundamentals in Week 1. You’ll gain a solid grasp of basic flow models like Euler, Navier-Stokes, and Reynolds-averaged Navier-Stokes equations, alongside essential flow features such as boundary layers, shear layers, flow separation, and recirculation zones. The course effectively explains the distinctions between inviscid, laminar, and turbulent flows, and how to visualize and analyze these phenomena. Crucially, it highlights how understanding flow regimes impacts grid design and the selection of physics models, offering insights into simulation efficiency and error estimation.
Weeks 2 and 3 delve into more complex scenarios. Week 2 focuses on flows in diffusers and nozzles, where you’ll learn about flow separation, recirculation, vena contracta, and energy loss evaluation. The impact of geometric variations and suction through walls is also explored, with a strong emphasis on grid-dependence and discretization order.
Week 3 introduces secondary and vortex flows, examining pressure- and turbulence-induced flows in duct bends and non-circular ducts. The physics behind phenomena like horseshoe and tip vortices are explained, along with optimal grid design and physics model selection for simulating these complex flows.
In Week 4, the course tackles flows around a circular cylinder across a wide range of Reynolds numbers. This section is particularly insightful, covering everything from creeping flow to turbulent regimes, vortex shedding (the von Karman vortex street), and the critical Reynolds number phenomenon. It provides an excellent overview of different turbulent flow simulation techniques, including Direct Numerical Simulation (DNS), Large-Eddy Simulation (LES), and Reynolds-Averaged Navier-Stokes (RANS) with various turbulence models, guiding you on which method to choose for specific applications.
Finally, Week 5 rounds off the course with a detailed exploration of flows with heat transfer. You’ll learn about conduction in solids, natural and forced convection, and conjugate heat transfer. The critical role of prism layers at walls for accurate simulations and the importance of accounting for temperature-dependent fluid properties are emphasized. The module concludes with strategies for optimally simulating simultaneous heat transfer across multiple streams.
Overall, ‘Applied Computational Fluid Dynamics’ is an exceptional course for engineers, researchers, and students seeking to build practical skills in CFD. The clear explanations, practical examples, and focus on industry-standard software make it an invaluable tool for career advancement in fields like aerospace, automotive, and energy.
Enroll Course: https://www.coursera.org/learn/applied-computational-fluid-dynamics