Introduction to Modern Computational Fluid Dynamics (CFD)

Introduction to Modern Computational Fluid Dynamics (CFD), available at $54.99, has an average rating of 4.75, with 8 lectures, based on 25 reviews, and has 271 subscribers.

You will learn about 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. This course is ideal for individuals who are Students and Researchers of Mechanical engineering, Chemical engineering, Aerospace Engineering and Civil engineering It is particularly useful for Students and Researchers of Mechanical engineering, Chemical engineering, Aerospace Engineering and Civil engineering.

Enroll now: Introduction to Modern Computational Fluid Dynamics (CFD)

Summary

Title: Introduction to Modern Computational Fluid Dynamics (CFD)

Price: $54.99

Average Rating: 4.75

Number of Lectures: 8

Number of Published Lectures: 8

Number of Curriculum Items: 8

Number of Published Curriculum Objects: 8

Original Price: $19.99

Quality Status: approved

Status: Live

What You Will Learn

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.

Who Should Attend

Students and Researchers of Mechanical engineering, Chemical engineering, Aerospace Engineering and Civil engineering

Target Audiences

Students and Researchers of Mechanical engineering, Chemical engineering, Aerospace Engineering and Civil engineering

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

Course Curriculum

Chapter 1: Introduction

Lecture 1: CFD Background & A Brief History

Lecture 2: Governing Equations

Chapter 2: Finite Volume Method

Lecture 1: Introduction to Finite Volume Method – Part 1

Lecture 2: Finite Volume Method – Part II

Chapter 3: Pressure Projection

Lecture 1: Pressure Projection

Chapter 4: Introduction to Turbulence

Lecture 1: Introduction to Turbulence

Chapter 5: Environmental Flows

Lecture 1: Environmental Flows

Chapter 6: CFD of the Future

Lecture 1: Emerging Trends & CFD of the Future

Instructors

Dr.Akshai Runchal
Experts in Computational Fluid Dynamics and Machine Learning

Rating Distribution

1 stars: 0 votes
2 stars: 0 votes
3 stars: 1 votes
4 stars: 7 votes
5 stars: 17 votes

Frequently Asked Questions

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