Introduction to Modern Computational Fluid Dynamics (CFD) from Udemy

Computational Fluid Dynamics (CFD) has emerged as an essential component of the design and analysis process for a wide range of engineering applications. CFD tools enable an design engineer to simulate and understand the impact of the underlying physics, mathematics, and numerical concepts on an engineering system.

This introductory course addresses a wide range of topics from fundamental aspects of finite volume method to the state-of-the-art technologies, such as application of the latest Machine learning techniques to Computational Fluid Dynamics (CFD).

This course will cover;

Detail understanding of the finite volume method for computational fluid dynamics (CFD).

Critical understanding of the Governing equations including; The balance laws, Convective and Diffusive Fluxes, Accumulation and Source/Sink Terms, The basic Governing Equations in Integral and Differential forms etc…

The pressure projection and SIMPLE algorithm, Adaptive grid refinement, Gridles methods etc…

Introduction to the physics of turbulent flows and learn to apply the various turbulence models in CFD. Detail discussion on various turbulence models, energy cascading, Kolmogorov scales, Near wall behaviour, Wall function, Y+, etc...

How to apply CFD to environmental flows, including atmospheric dispersion, ground water flow, surface water flow including tsunamis.

A detail perspective on emerging trends, including the impact of deep machine learning and AI in CFD

What's inside

Learning objectives

The student will learn and understand the finite volume method for computational fluid dynamics (cfd)
The student will gain a good introduction to the physics of turbulent flows and learn to apply the various turbulence models in cfd.

The student will learn how to apply cfd to environmental flows, including atmospheric dispersion, ground water flow, surface water flow including tsunamis.
The student will get a perspective on emerging trends, including the impact of deep machine learning and ai in cfd.

The student will learn and understand the finite volume method for computational fluid dynamics (cfd)
The student will gain a good introduction to the physics of turbulent flows and learn to apply the various turbulence models in cfd.
The student will learn how to apply cfd to environmental flows, including atmospheric dispersion, ground water flow, surface water flow including tsunamis.
The student will get a perspective on emerging trends, including the impact of deep machine learning and ai in cfd.

Syllabus

Introduction

CFD Background & A Brief History

Governing Equations

Introduction to Finite Volume Method

Traffic lights

Read about what's good

what should give you pause

and possible dealbreakers

Provides a detailed understanding of the finite volume method, which is a core technique in computational fluid dynamics

Explores the application of CFD to environmental flows, which is relevant to fields like atmospheric science and hydrology

Offers an introduction to turbulence models, which are essential for simulating real-world fluid dynamics problems

Examines the impact of machine learning and AI in CFD, which is a rapidly evolving area with significant potential

Requires understanding of underlying physics, mathematics, and numerical concepts, which may necessitate additional preparation

Reviews summary

Fundamentals and modern trends in cfd

Although specific student reviews were not available for analysis, this summary is based on inferring potential student feedback from the detailed course description and syllabus. Learners might expect to gain a strong theoretical foundation in Computational Fluid Dynamics, covering essential topics like the Finite Volume Method, Governing Equations, and various turbulence models. The course appears to offer comprehensive topic coverage, extending to practical areas such as environmental flows and exploring cutting-edge emerging trends like Machine Learning and AI in CFD. However, due to the breadth of topics, some students might find that certain areas lack sufficient depth, potentially requiring supplementary study. Prospective students should also be aware that a solid prerequisite understanding of mathematics and physics is likely essential for success.

Strong on concepts, less explicit on software tools.

"The course outline focuses on theoretical concepts without mentioning specific CFD software packages."

"I hope there are practical examples or demonstrations using standard CFD tools."

"This seems great for theory, but I might need separate training for hands-on software use."

Covers broad range from fundamentals to modern trends.

"I anticipate covering essential CFD methods like Finite Volume and key areas like turbulence."

"The syllabus seems packed, touching on environmental flows and even AI applications."

"I expect to get a broad overview of modern CFD and its diverse applications."

Breadth might limit depth in some areas.

"I wonder if covering so many topics means some won't be explored in sufficient detail."

"Will there be enough time to fully grasp complex areas like various turbulence models?"

"I might need additional resources to dive deeper into specific methods or applications."

Likely requires strong math and physics background.

"Given the topic, I assume a strong foundation in calculus and differential equations is needed."

"Prospective students should clarify the required level of physics and mathematical knowledge."

"Without adequate preparation, I imagine this course could be quite challenging."

Activities

Be better prepared before your course. Deepen your understanding during and after it. Supplement your coursework and achieve mastery of the topics covered in Introduction to Modern Computational Fluid Dynamics (CFD) with these activities:

Review Fluid Mechanics Fundamentals

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Reinforce your understanding of fundamental fluid mechanics concepts. This will provide a solid foundation for understanding the governing equations used in CFD.

Browse courses on Fluid Mechanics

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Review notes and textbooks from previous fluid mechanics courses.
Work through practice problems related to fluid properties and flow.
Focus on concepts like viscosity, pressure, and Bernoulli's equation.

Read 'Fluid Dynamics' by Kundu and Cohen

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Deepen your understanding of fluid dynamics principles. This book provides a rigorous treatment of the subject, complementing the course material.

View Fluid Mechanics on Amazon

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Read the chapters related to governing equations and turbulence modeling.
Work through the example problems provided in the book.
Relate the concepts in the book to the CFD methods discussed in the course.

Solve Finite Volume Method Problems

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Practice applying the finite volume method to simple fluid flow problems. This will reinforce your understanding of the numerical techniques used in CFD.

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Find or create simplified 1D or 2D fluid flow scenarios.
Discretize the domain and apply the finite volume method.
Solve the resulting system of equations.
Compare your results to analytical solutions or known benchmarks.

Four other activities

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Read 'Turbulence Modeling for CFD' by Wilcox

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Gain a deeper understanding of turbulence modeling techniques. This book provides a comprehensive overview of various turbulence models used in CFD.

View Solutions Manual on Amazon

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Focus on the chapters related to the turbulence models discussed in the course.
Compare and contrast the different turbulence models.
Understand the limitations and applicability of each model.

Follow CFD Software Tutorials

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Gain hands-on experience with CFD software. This will allow you to apply the concepts learned in the course to real-world problems.

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Choose a popular CFD software package (e.g., OpenFOAM, ANSYS Fluent).
Find tutorials that cover basic fluid flow simulations.
Follow the tutorials step-by-step, paying attention to the meshing, boundary conditions, and solver settings.
Experiment with different parameters and observe the effects on the results.

CFD Simulation of Environmental Flow

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Apply your CFD knowledge to simulate an environmental flow scenario. This will allow you to explore the practical applications of CFD in environmental engineering.

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Choose an environmental flow problem (e.g., atmospheric dispersion, groundwater flow).
Create a computational model of the problem domain.
Set up the appropriate boundary conditions and solver settings.
Run the simulation and analyze the results.
Validate your results against experimental data or existing simulations.

Create a Presentation on Emerging Trends in CFD

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Research and present on the latest advancements in CFD, including the application of machine learning. This will help you stay up-to-date with the rapidly evolving field of CFD.

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Research recent publications and articles on emerging trends in CFD.
Focus on topics such as machine learning, AI, and high-performance computing.
Prepare a presentation summarizing your findings.
Present your findings to your peers or colleagues.

Career center

Learners who complete Introduction to Modern Computational Fluid Dynamics (CFD) will develop knowledge and skills that may be useful to these careers:

CFD Engineer

The CFD Engineer utilizes computational fluid dynamics software to model and simulate fluid flow, heat transfer, and related phenomena in a variety of engineering systems. This role requires a strong understanding of fluid mechanics, numerical methods, and computer programming. The Introduction to Modern Computational Fluid Dynamics course helps build a strong foundation in the finite volume method, which is a core technique used in CFD software. The lectures on turbulence modeling and environmental flows are directly relevant to the challenges faced by a CFD Engineer. The course's inclusion of emerging trends like machine learning in CFD will prove especially beneficial, as it covers the evolving landscape of the field. This course also provides an understanding of the underlying physics, mathematics, and numerical concepts essential for the design and analysis process.

See salaries and explore the career path for CFD Engineer

Environmental Engineer

An Environmental Engineer works to protect the the environment through the design of solutions to environmental problems. A key tool is CFD, which helps model and simulate the transport and dispersion of pollutants in air and water. The Introduction to Modern Computational Fluid Dynamics course includes a specific module on environmental flows, covering atmospheric dispersion, groundwater flow, and surface water flow. This course helps environmental engineers tackle diverse challenges, from predicting air quality to managing water resources. You will also gain a deep understanding of the finite volume method, which is essential for accurate environmental modeling. The understanding of governing equations in integral and differential forms helps to create a robust model that takes different factors into account.

See salaries and explore the career path for Environmental Engineer

Aerospace Engineer

An Aerospace Engineer designs, develops, and tests aircraft and spacecraft. These professionals frequently use CFD to analyze aerodynamic performance, optimize designs, and ensure structural integrity. The Introduction to Modern Computational Fluid Dynamics course provides an essential understanding of the finite volume method and turbulence modeling, which are critical for aerospace applications. The course helps develop a strong foundation in understanding and applying CFD to practical engineering problems. Moreover, knowledge of emerging trends in CFD, such as the application of machine learning, positions an aerospace engineer to stay at the forefront of technological advancements. Understanding governing equations in integral and differential forms is also important for aerospace applications.

See salaries and explore the career path for Aerospace Engineer

Hydraulic Engineer

A Hydraulic Engineer focuses on the flow and conveyance of fluids, especially water. These engineers design and maintain systems for water supply, irrigation, and flood control, often using CFD to model and optimize hydraulic structures. The Introduction to Modern Computational Fluid Dynamics course covers the finite volume Method and provides an understanding of environmental flows. This provides hydraulic engineers with the tools to analyze complex flow patterns and optimize designs. The balance laws are instrumental in designing robust and reliable hydraulic systems. The course is specifically designed to help solve real world problems with CFD.

See salaries and explore the career path for Hydraulic Engineer

Mechanical Engineer

A Mechanical Engineer designs and oversees the manufacturing of mechanical devices and systems. CFD is often used to optimize designs for fluid flow and heat transfer, improving efficiency and performance. The Introduction to Modern Computational Fluid Dynamics course helps mechanical engineers perform realistic simulations. This course covers the finite volume method, turbulence models, and relevant numerical techniques, which are directly applicable to mechanical engineering challenges. The course's grounding in the physics of turbulent flows provides valuable insight for modeling complex systems. This also provides the ability to understand the impact of the underlying physics, mathematics, and numerical concepts on an engineering system, providing a distinct advantage to those in the field.

See salaries and explore the career path for Mechanical Engineer

Research Scientist

A Research Scientist conducts experiments and develops theories to advance scientific knowledge. In fluid dynamics, research scientists use CFD to explore complex flow phenomena and validate theoretical models. The Introduction to Modern Computational Fluid Dynamics course provides a comprehensive overview of the finite volume method, turbulence modeling, and emerging trends in CFD, like machine learning applications. These topics are vital for conducting cutting-edge research in the field. The course also provides you with an understanding of the underlying physics, mathematics, and numerical concepts necessary for effective research. An advanced degree (master's or phd) is typically required.

See salaries and explore the career path for Research Scientist

Energy Engineer

An Energy Engineer works to improve energy efficiency and develop renewable energy sources. CFD is used to optimize the design of wind turbines, solar collectors, and other energy systems. The Introduction to Modern Computational Fluid Dynamics course provides a groundwork in the finite volume method and turbulence modeling, vital for analyzing and improving the performance of energy systems. Understanding turbulence models is an important component of energy engineering. The course equips energy engineers with tools to simulate and optimize energy systems efficiently.

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Automotive Engineer

An Automotive Engineer designs and develops vehicles and their components. CFD plays a vital role in optimizing vehicle aerodynamics, engine cooling, and exhaust systems. The Introduction to Modern Computational Fluid Dynamics course provides a solid foundation in the finite volume method and turbulence modeling, essential for tackling automotive engineering challenges. The knowledge gained in this course allows automotive engineers to improve vehicle performance and efficiency, and reduce emissions. Moreover, the coverage of emerging trends in CFD, such as the application of machine learning, ensures automotive engineers stay innovative. Understanding of near wall behavior is essential for automotive applications.

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Meteorologist

The Meteorologist studies weather patterns and atmospheric phenomena. They use models to help forecast the weather. The Introduction to Modern Computational Fluid Dynamics course will provide this person with the tools to model and analyze atmospheric conditions, improving weather forecasting accuracy. The knowledge of environmental flows, including atmospheric dispersion, helps meteorologists to understand and predict weather patterns. An advanced degree (master's or phd) is typically required. The turbulence models will also be beneficial.

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Product Development Engineer

The Product Development Engineer helps to design and improve products from various industries. CFD tools are used to analyze and optimize product designs, ensuring they meet performance and safety requirements. The Introduction to Modern Computational Fluid Dynamics course provides a solid understanding of the finite volume method, turbulence modeling, and other CFD techniques applicable to product development. This course helps product development engineers create better, more efficient products. Learning about finite volume method is a good way to start the product development process.

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Teacher

Teachers in higher education educate students in various concepts related to engineering and physics. The Introduction to Modern Computational Fluid Dynamics course provides the instructor with a strong understanding of the finite volume method and turbulence models to better explain these concepts to students. This course also provides instructors with an understanding of the underlying physics, mathematics, and numerical concepts to better understand the subject. Knowledge of emerging trends, such as the application of machine learning, positions the teacher to stay abreast of technological advancements.

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Software Engineer

A Software Engineer designs, develops, and tests software applications. Some software engineers may work on developing or improving CFD software itself. The Introduction to Modern Computational Fluid Dynamics course helps software engineers to learn the underlying principles of CFD and the finite volume method. This course provides the knowledge to contribute to the development of CFD software. Understanding governing equations can be instrumental to increasing the accuracy of simulations, and for developing new simulations. The course is useful to those who wish to enter the software space for CFD.

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Data Scientist

The Data Scientist analyzes large datasets to extract meaningful insights and develop predictive models. While seemingly unrelated, the data generated from CFD simulations can be a valuable source of information for data scientists. The Introduction to Modern Computational Fluid Dynamics course may be useful for data scientists who want to work with CFD data. The course provides an understanding of the underlying physics, mathematics, and numerical concepts behind CFD simulations, allowing data scientists to interpret results more effectively. The course's exploration of machine learning applications in CFD could be especially helpful. The basic governing equations can be useful to incorporate into models.

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Structural Engineer

A Structural Engineer analyzes and designs structures to ensure stability and safety. CFD is used to analyze wind loads on buildings and bridges. The Introduction to Modern Computational Fluid Dynamics course helps structural engineers to understand the principles of fluid dynamics. This course may be useful for structural engineers working on projects where wind loading is a critical factor. The course covers the finite volume method and environmental flows, which are valuable for analyzing wind effects on structures. Consideration of the balance laws helps in designing structures that can withstand environmental forces.

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Civil Engineer

A Civil Engineer designs, constructs, and maintains the built environment, including infrastructure like roads, bridges, and water systems. Civil engineers may use CFD to analyze wind loads on structures, model flood risks, and design efficient drainage systems. While not always a core skill, the Introduction to Modern Computational Fluid Dynamics course may be useful for civil engineers working on specialized projects involving fluid flow. The course provides a foundational understanding of the finite volume method and environmental flows. This foundation empowers civil engineers to tackle complex challenges related to fluid dynamics. This may be useful when designing structures that interact with water or air flow.

See salaries and explore the career path for Civil Engineer

Introduction to Modern Computational Fluid Dynamics (CFD)

What's inside

Learning objectives

Syllabus

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Reviews summary

Fundamentals and modern trends in cfd

Activities

Career center

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