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Advanced (CFD) Flow Simulations

Delivering measurable insights by visualizing the invisible

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Digitally replicating real-world conditions

At Actiflow, we visualize and quantify gas and liquid flows using Computational Fluid Dynamics (CFD). CFD is a powerful numerical simulation method that analyzes fluid flow, heat transfer, and related physical phenomena within a virtual environment.

CFD is a valuable tool to assess the airflow around and inside buildings, machines, systems, etc. By digitally replicating real-world conditions, we help clients make informed decisions without the cost, risk, and limitations of physical testing.

Why use CFD simulations?

CFD is typically applied in two key scenarios:

1. Optimization of Existing Designs

We analyze current products, buildings, or systems to:

    • Identify performance bottlenecks
    • Detect airflow or thermal issues
    • Improve energy efficiency
    • Enhance safety and comfort
    • Reduce operational risks

2. Early-Stage Design & Development

In the conceptual phase of new developments, CFD enables:

    • Performance assessment before construction or production
    • Risk reduction at an early stage
    • Data-driven design decisions
    • Faster innovation cycles
    • Cost savings by minimizing physical prototypes

At Actiflow, CFD forms the foundation of most of our services — from wind engineering studies to indoor climate assessments and R&D projects across multiple industries.

How our CFD process works

The CFD-process contains the following steps:

1. Cad Modelling

Every CFD simulation starts with a CAD model of the product, system, or building. When we receive a CAD model from our client, we process the model to prepare it for CFD, meaning that we remove all irrelevant details, and create a closed flow volume.

2. Computational domain and mesh generation

Next, we define the computational domain — the volume in which fluid flow will be calculated. Within this domain, we generate a high-resolution computational mesh containing millions of volume cells. Mesh refinement is applied near surfaces, in boundary layers and in regions where we expect high flow gradients. Mesh quality and resolution are critical for simulation accuracy and stability.

3. CFD Simulation

Before running the simulation, we select the most suitable solver, numerical models and boundary conditions. Depending on the type of simulation, we can choose from several CFD packages. When all input is ready, we run the simulation on our own HPC (High Performance Computing) cluster. For each individual cell in the mesh, the CFD software numerically solves the governing fluid flow equations. Depending on the complexity of the simulation, this typically takes a few hours to a few days.

4. Post-processing

A CFD simulation generates a large dataset containing flow velocities, pressure distributions, temperature fields, etc. These results are then processed into clear visualizations and graphs showing the flowfield and the performance of the product or building. Based on the results, we identify potential risks and inefficiencies and we propose design improvements. In close collaboration with our clients, we evaluate the feasibility of proposed solutions. This often results in an iterative design optimization process, where simulations are refined until all performance and stakeholder requirements are met.

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