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Computational Fluid Dynamics Fundamentals Course 3

Unstructured Meshes and Mesh Quality
4.8
4.8/5
(143 reviews)
1,286 students
Created by

9.6

CourseMarks Score®

10.0

Freshness

9.3

Feedback

8.9

Content

Platform: Udemy
Video: 3h 4m
Language: English
Next start: On Demand

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Detailed Analysis

CourseMarks Score®

9.6 / 10

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Freshness Score

10.0 / 10
This course was last updated on 4/2022.

Course content can become outdated quite quickly. After analysing 71,530 courses, we found that the highest rated courses are updated every year. If a course has not been updated for more than 2 years, you should carefully evaluate the course before enrolling.

Student Feedback

9.3 / 10
We analyzed factors such as the rating (4.8/5) and the ratio between the number of reviews and the number of students, which is a great signal of student commitment.

New courses are hard to evaluate because there are no or just a few student ratings, but Student Feedback Score helps you find great courses even with fewer reviews.

Content Score

8.9 / 10
Video Score: 8.0 / 10
The course includes 3h 4m video content. Courses with more videos usually have a higher average rating. We have found that the sweet spot is 16 hours of video, which is long enough to teach a topic comprehensively, but not overwhelming. Courses over 16 hours of video gets the maximum score.
The average video length is 5 hours 31 minutes of 22 Computational Fluid Dynamics courses on Udemy.
Detail Score: 9.3 / 10

The top online course contains a detailed description of the course, what you will learn and also a detailed description about the instructor.

Extra Content Score: 9.5 / 10

Tests, exercises, articles and other resources help students to better understand and deepen their understanding of the topic.

This course contains:

0 article.
13 resources.
0 exercise.
0 test.

Table of contents

Description

Welcome to Part 3 of my Computational Fluid Dynamics (CFD) fundamentals course! In this course, the concepts, derivations and examples from Part 1 and Part 2 are extended to look at unstructured meshes and mesh quality metrics (aspect ratio, non-orthogonality, skewness and Jacobian Determinant). The course starts from first principles and you will rapidly develop a working CFD solution using the Excel sheets and Python source code provided. By the end of the course, you will understand how the CFD equations are discretised for unstructured meshes. This discretisation approach is a natural extension of the discretisation approach that is adopted for structured meshes (which were considered in Part 1 and Part 2). CFD codes which are constructed in this unstructured way (such as ANSYS Fluent, OpenFOAM, Star CCM, Saturne) can handle cells of any size and shape. You will learn about the main quality metrics (aspect ratio, non-orthogonality, skewness, Jacobian Determinant) that are used to assess these meshes, how they are calculated and what they actually mean. For this course, no prior experience is required and no specific CFD code/coding experience is required!  You do not need ANSYS Fluent, OpenFOAM, Star CCM or any other CFD code to use this course.

You will learn

✓ How to setup and structure a working CFD solution code from first principles (using Excel, MATLAB or Python)
✓ How CFD equations are discretised differently for unstructured meshes
✓ How the main mesh quality metrics (aspect ratio, non-orthogonality, skewness, determinant) are calculated
✓ The solution of the 2D heat equation from first principles on an unstructured mesh
✓ How to calculate the cell volume, face areas and unit normal vectors for skewed and irregular cells

Requirements

• Basic vector calculus (dot product, gradient, cross product)
• Basic differential equations
• Basic linear algebra (matrices)
• Microsoft Excel or Python

This course is for

• High School/Secondary School Physics Students
• Undergraduate Engineers, Physicists and Scientists
• Masters and PhD level Students

How much does the Computational Fluid Dynamics Fundamentals Course 3 course cost? Is it worth it?

The course costs $14.99. And currently there is a 57% discount on the original price of the course, which was $34.99. So you save $20 if you enroll the course now.
The average price is $15.4 of 22 Computational Fluid Dynamics courses. So this course is 3% cheaper than the average Computational Fluid Dynamics course on Udemy.

Does the Computational Fluid Dynamics Fundamentals Course 3 course have a money back guarantee or refund policy?

YES, Computational Fluid Dynamics Fundamentals Course 3 has a 30-day money back guarantee. The 30-day refund policy is designed to allow students to study without risk.

Are there any SCHOLARSHIPS for this course?

Currently we could not find a scholarship for the Computational Fluid Dynamics Fundamentals Course 3 course, but there is a $20 discount from the original price ($34.99). So the current price is just $14.99.

Who is the instructor? Is Dr Aidan Wimshurst a SCAM or a TRUSTED instructor?

Dr Aidan Wimshurst has created 5 courses that got 1,645 reviews which are generally positive. Dr Aidan Wimshurst has taught 4,518 students and received a 4.7 average review out of 1,645 reviews. Depending on the information available, Dr Aidan Wimshurst is a TRUSTED instructor.
Senior Computational Fluid Dynamics (CFD) Engineer
Aidan is a Chartered Mechanical Engineer based in the United Kingdom (UK) specialising in Computational Fluid Dynamics (CFD) and heat transfer. Aidan addresses industrial fluid dynamics and heat transfer problems across a range of sectors and routinely develops solutions to complex modelling problems including: conjugate heat transfer, solid particle transport and rotor aerodynamics. In his spare time, Aidan teaches Computational Fluid Dynamics online through his popular YouTube channel ‘Fluid Mechanics 101’. His aim is to encourage and inspire engineers and provide them with the tools they need to solve the worlds most challenging fluid dynamics problems.
Browse all courses by on Coursemarks.

9.6

CourseMarks Score®

10.0

Freshness

9.3

Feedback

8.9

Content

Platform: Udemy
Video: 3h 4m
Language: English
Next start: On Demand

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