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CFD

Discover what a Computational Fluid Dynamics Model is..

..and find out how we can help you achieve the best results for your next important project.

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Capability Statement

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Computational Fluid Dynamics (CFD) models are an integral part when designing the HVAC systems for building and also when designing the structure of the building itself. With over 17 years of experience, our qualified and personally selected CFD engineers will gladly work with you on your next important project and help you realise its full potential.

 

What is a Computational Fluid Dynamics Model 

 

CFD (Computational Fluid Dynamics) is one of the key analysis methods widely used in both architectural engineering and HVAC designs. It helps architects and civil engineers lessen the effect of extreme wind loads on structures and manage wind comfort for pedestrians across all stages of the building design process. 

 

CFD simulations enable you to validate the use of natural convection in a building and reduce the costs of artificial air exchange systems.

 

What are the applications of CFD Analysis?

 

Computational Fluid Dynamics is applicable in various fields:

  1. Aeronautics/Aerospace: Designing aircraft and rockets (external flow analysis). Designing jet engines, ducts, nozzles (internal flow analysis).
  2. Automobile industry: To design aerodynamically efficient vehicles. Design and analyis of turbochargers, powertrains, engines etc.
  3. HVAC: To design and analyse air conditioning systems.
  4. Electronics industry: To design circuit cooling systems. (Thermal analysis)
  5. Ballistics: Design/analyse of gun/bomb explosions.
  6. Naval architecture: Design of vessels and system design like propellers etc.
  7. Bio-engineering: Blood flow is essentially non-newtonian fluid flow inside arteries and veins.
 

How is a CFD analysis obtained?

 

Basically, there are three stages within a CFD analysis:

 

1. Pre-processing

Within this phase, it is incredibly important to define the problem that is trying to be solved through the analysis. In doing so, parameters  (initial and boundary conditions,  flow domains,  types of flow, etc.) and the way the geometry is modelled and meshed can be established. By establishing this now, we can streamline the computational solving process and enable efficient and accurate results. Once this stage is completed, a problem can be transformed into an idealised and discretised computer model.

 

2. Solving

In this stage, a simulation strategy most suitable for the problem is selected. Depending on the scale of the problem being solved, significant amounts of computing power can be required as the software producing the solution is not necessarily smart, but rather is working hard. To obtain a solution, the software will trial every single variable within every single scenario (within reason) until it obtains a solution. Hence why it is important to select the appropriate simulation strategy.  

 

3. Post-processing

Finally, the obtained results are visualised and analysed in the post processing phase. At this stage the analyst can verify the results and repeat the simulation process several times to ensure that solutions continue to converge to a single point. CFD modelling can be rather delicate and it is important to compare results and ensure that they are valid. 

Once satisfied, specific information from the computational workflow can be extracted and presented  in an informational way. 

 

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COMMERCIAL CAPABILITY STATEMENT

 

Why?

Why do I need a Computational Fluid Dynamic Model?

 

Using CFD, you are able to analyse complex problems. CFD analyses have a great potential to save time in the design process and are therefore cheaper and faster compared to conventional testing for data acquisition. Furthermore, in real-life tests a limited amount of quantities is measured at a time, while in a CFD analysis all desired quantities can be measured at once, and with a high resolution in space and time.

 

What are the benefits of using CFD?

 

Computational Fluid Dynamic modelling provides various advantages:

  •  Airflow simulation helps architects and civil engineers manage the risk of wind loads across all stages of the building design process
  • Design process becomes more agile with the help of CFD software in the web browser
  • Due to virtual wind simulations - architects can now make informed design decisions with respect to the overall building shape very early in the conceptual design phase
  • With simulations, civil engineers can generate accurate wind load information instead of using tabular values from standards and codes

 

 

Costing and Time Commitments

 

The cost of a Computational Fluid Dynamics analysis can vary from project to project and can largely depend on the restraints given, the accuracy of the model, and how long it takes to develop a solution. 
As for timing, this can also vary depending on the aspects mentioned above. However, typically it can range from 1-14 business days.
Due to how much these can vary, we highly recommend contacting us and submitting your plans for review and we will aim to send you a quote within the same business day. 
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