Udemy – Introduction to Computational Fluid Dynamics (CFD) 2023-6 – Download

Description

Introduction to Computational Fluid Dynamics (CFD) is a course on computational fluid dynamics (CFD) published by the online academy Udemy. In this tutorial, you will be introduced to the principles of the finite volume method for incompressible flows on two-dimensional Cartesian meshes. You will In this course you will learn about sampling techniques, interpolation techniques, boundary conditions, flow visualization using ParaView, and CFD errors and uncertainties. Computational fluid dynamics (CFD) is a complex engineering discipline that uses numerical methods and algorithms to model fluid flow behavior and heat transfer phenomena. It plays a fundamental role in understanding, analyzing and optimizing the performance of fluid systems in various fields including aerospace, automotive, energy, environmental engineering and biomedicine.

Computational fluid dynamics is a powerful tool that allows engineers and scientists to gain deep understanding of fluid flow and heat transfer phenomena and guide the design, optimization, and analysis of various engineering systems and processes. This training course is recommended for anyone who is interested in and wants to learn about Computational Fluid Dynamics (CFD). By completing this course, you will become familiar with computational fluid dynamics (CFD) and be able to use it to analyze and optimize the performance of fluid systems in a variety of applications.

What you will learn from the Introduction to Computational Fluid Dynamics (CFD) course:

Computational Fluid Dynamics (CFD) Concepts and Principles
Sampling method
Interpolation methods
Flow visualization using ParaView
AND…

Course characteristics

Publisher: Udemy
Instructors: Robert Spall
English language
Level: Intermediate
Number of lessons: 40
Duration: 2 hours 34 minutes

Course topics for 2023/10

Introduction to Computational Fluid Dynamics (CFD) Contents

Introduction to Computational Fluid Dynamics (CFD).

Basic programming skills in languages such as C, Fortran, Python, etc. Knowledge of basic calculus, differential equations, numerical methods, and fluid mechanics is preferred.