Computational Fluid
Dynamics
EGR 355
JESSE LING
What Is CFD?
Computational Fluid Dynamics revolutionized
engineering by providing a cost-effective and timeefficient solution to analyze fluid and heat flow. Its
advanced algorithms eliminate the need for physical
prototypes and extensive testing, saving time and
resources. It also provides valuable insights into
complex flows that are difficult to measure, enabling
engineers to identify design flaws and improve system
efficiency.
Main Elements of CFD

Pre-processing


Processing


Work inputted by the user
The computer simulation
Post-processing

The analysis of the results from the simulation
Pre-Processing

Mesh generation: dividing
the domain into smaller
elements which impacts
the accuracy and
efficiency of the simulation.

Defining geometry to
ensure accurate modeling

Specifying properties for
effective problem-solving
Processing
This phase performs calculations and simulations
that provide valuable insights and predictions on
the project. The system can solve complex
problems with algorithms which allows for efficient
analysis of fluid dynamics.
Post-Processing
In the post-processing stage, data is analyzed and
interpreted through graphs or charts to extract insights
and draw conclusions. Furthermore, this data
contributes to optimizing designs and improving
performance.
Results of our CFD
Our analysis of fin density in a heat exchanger
showed that more fins lead to higher heat transfer
rates due to high surface area, which the 11-fin
configuration showed. The 5-fin configuration had
slightly lower heat transfer rates but offered benefits
like reduced pressure drop and lower manufacturing
costs.
11 fin Design
5 fin design
Why Do We Need CFD?
 We
need CFD because it has greatly impacted
engineering by providing economic and timesaving benefits. Furthermore, it has allowed
engineers to simulate and analyze fluid and heat
flows. Lastly, CFD offers valuable insights into
complex flows, identifying design flaws, and
optimizing system efficiency.