Introduction to Modern Computational Fluid Dynamics (CFD)

🌩️ Master the Flow: Introduction to Modern Computational Fluid Dynamics (CFD) with Dr. Akshai Runchal 🎓

Course Headline: Unlock the mysteries of fluids in motion with our comprehensive "Introduction to Computational Fluid Dynamics (CFD)" course, where you'll gain a solid foundation in one of engineering's most powerful analytical tools. Dive into the world of CFD and explore the cutting-edge role of Machine Learning in propelling this field forward!

Course Description: Computational Fluid Dynamics (CFD) is not just a tool; it's the gateway to innovation across engineering disciplines. This online course, led by the esteemed Dr. Akshai Runchal, is designed to provide you with a thorough understanding of CFD fundamentals, from the finite volume method to advanced topics like machine learning applications.

📚 Key Highlights:

• Core Concepts: Delve into the balance laws, convective and diffusive fluxes, accumulation and source/sink terms, and understand the basic governing equations in both integral and differential forms.

• Advanced Algorithms & Techniques: Master the pressure projection method, SIMPLE algorithm, adaptive grid refinement, and gridless methods.

• Turbulence Unveiled: Gain a deep understanding of turbulent flows, including the physics behind them, various turbulence models, energy cascading, Kolmogorov scales, near-wall behavior, wall functions, and y+ (pronounced "delta plus").

• Environmental Flows: Learn how to apply CFD to environmental challenges such as atmospheric dispersion, groundwater flow, surface water flow (including tsunamis), and more.

• Emerging Trends & Machine Learning: Explore the exciting world of AI and deep learning in CFD, understanding their impact on this dynamic field.

What You'll Learn:

🎥 Lecture Topics:

• Finite Volume Method for CFD: A detailed introduction to the fundamental numerical method underpinning CFD simulations.

• Governing Equations & Physics: Discover the equations that govern fluid motion, and understand the underlying physics in both continuum and discrete form.

• CFD Algorithms: From the basics of pressure projection and SIMPLE to advanced techniques like adaptive grid refinement and gridless methods.

• Turbulence Modeling: Learn about different turbulence models, their applications, and the physics behind them. Understand energy cascading, Kolmogorov scales, near-wall behavior, wall functions, and y+ (delta plus).

• CFD in Environmental Engineering: Apply CFD to solve real-world environmental problems, from atmospheric dispersion to water flow scenarios.

• Machine Learning & AI Trends in CFD: Uncover how machine learning is transforming the landscape of CFD, and what this means for the future of computational simulations.

Why Take This Course? This course is perfect for:

• Beginners: Those new to CFD who wish to start their journey with a strong foundation.

• Professionals: Engineers, researchers, and students looking to expand their knowledge of CFD applications in various fields.

• Innovators: Individuals eager to understand the impact of AI and machine learning on CFD and how these technologies can be leveraged for problem-solving.

By the end of this course, you'll have a robust understanding of CFD's theoretical foundations, practical applications, and future trends, positioning you at the forefront of this exciting field! 🚀

Enroll now to join Dr. Akshai Runchal on this transformative learning journey into the world of modern computational fluid dynamics! 💧🚀