Computational Fluid Dynamics (CFD)
About Computational Fluid Dynamics (CFD)
A subfield of fluid mechanics called computational fluid dynamics analyses and resolves issues with fluid flows by using numerical analysis and data structures.
Why is Computational Fluid Dynamics (CFD) important?
Theoretically, every physical condition can be simulated using CFD. CFD offers excellent control over the physical process and the capacity to isolate particular phenomena for research.
On fundamental transport phenomena like heat, momentum, or mass transmission, CFD offers helpful information. As a result, CFD provides crucial information on the mixing properties, possible shear stress on the biocatalysts, or gradients of vital parameters like temperature, pH, or nutrient content.
Who should take the Computational Fluid Dynamics (CFD) Exam?
- Engineers, scientists, designers, and managers who want to gain an insight into this technology and its vast range of capabilities.
- Masters and Ph.D. level Students
Computational Fluid Dynamics (CFD) Certification Course Outline
- CFD Fundamentals
- Boundary Conditions types
- Transport Equations
- The Diffusion Equation
- The Convection-Diffusion Equation
- Upwind Differencing