At COFAN, our engineering team leverages Computational Fluid Dynamics (CFD) to deliver precise insights into fluid flow and thermal management. Our process is built on four distinct stages that ensure accuracy, efficiency, and validated results for industries ranging from electronics cooling to aerospace, automotive, and energy systems.
It is during this phase that the Problem definition clearly defines the physical problem you want to study, including the geometry, boundary conditions, fluid properties, and other relevant parameters.
Pre-Processing
Processing
Post Processing
Validation / Verification
Stage 1
Requirements – Defining the ProblemPre Processing or Problem Definition Requirement
The COFAN CFD process begins with an initial consultation or conversation with the client. During this requirements stage, our client provides in-depth technical insight into their products and defines their goals and objectives as part of an in-depth discussion between the respective engineering teams.
It is during this phase that the problem definition clearly defines the physical problem you want to study, including the geometry, boundary conditions, fluid properties, and other relevant parameters.
- The easiest way to achieve those objectives
- Which Geometry(ies) should be included
- Freestream and/or environmental operating conditions
- The dimensionality of the spatial model is required (1D)
- What should the flow domain look like
- What temporal modelling is appropriate
- Nature of the viscous flow (convection, laminar, turbulent)
- Thermal limits of components (junction or case temperature)
- Thermal design inputs required by the customer from Cofan
- Range of ambient temperatuires for simulation
- What types of analysis (component, board, system)
- Will heatsink optimization/design services required
- Will physical/empirical testing be required in support of simulations
Required Input from the Customer
- CAD Models of all Components, Hardware and Systems
- Initial and Environmental Boundary Conditions
- Thermal Performance Objectives
- Fan Performances Curves
- Power Levels of all components
Required Output from the CFD Study
- Definition of project scope and deliverables
- Phased timeline
- List of Deliverables
- Junction or Case Temperature of specified Components
- Fluid flow conditions documentation
- Reports, Design/engineering recommendations, databases, etc
- Cost Breakdown
Stage 2
Processing or Solver Phase
This phase of the CFD process is where the numerical simulation is executed to solve the governing equations that describe fluid flow and related phenomena within a defined computational domain.
The solver iteratively calculates the flow and temperature fields over the computational mesh, considering the boundary conditions and fluid properties. The processing phase can be computationally intensive, and the required time for simulation varies depending on factors such as the complexity of the geometry, the desired accuracy, the chosen numerical methods, and the computing resources available.
Efficient processing often involves a balance between accuracy and computational cost, as well as careful consideration of solver settings and convergence criteria.
Discretization
A computational mesh is established to govern equations and apply numerical methods, such as finite difference, finite volume, or finite element.
Initialization
Initial conditions for fluid flow, temperature distribution, and pressure are set to mimic real-world starting states.
Time Stepping
Simulations progress in increments. At each step, the solver recalculates flow and thermal properties across the mesh.
Solver Iterations
Flow properties (velocity, pressure, temperature, etc.) are updated until a stable state or acceptable level of accuracy is achieved.
Boundary Conditions
Inflow, outflow, wall conditions, and symmetry are applied to simulate real-world system interactions.
Stage 3
Post-Processing Output or Analysis
After the simulation is complete, CFD post-processing is performed to transform numerical data into actionable engineering insights. This stage is crucial for identifying performance trends, diagnosing potential issues, and optimizing system design.
Visualization
Contour Plots
Contour plots display variations of a specific parameter (e.g., velocity, pressure, temperature) across the computational domain. Color-coded contours help visualize gradients and trends.
Vector Plots
Vector Plots represent velocity vectors at different locations in the domain, indicating flow directions and magnitudes.
Streamlines
Streamlines depict the path that fluid particles follow within the flow field, providing a clear visualization of flow patterns.
Pathlines and Streaklines
Showing the trajectories of individual fluid particles released at different points over time, helping to understand flow behavior over longer periods.
Surface Plots
Surface Pressure Distribution: This plot shows the pressure distribution on the surfaces of objects within the domain, helping identify regions of high and low pressure. Heat Transfer Analysis: Surface temperature distribution plots provide insights into the heat transfer characteristics of the system.
Cut Planes and Slices
These representations involve cutting through the computational domain to visualize internal flow structures, temperature gradients, or other properties along specific planes or sections.
Transient and Time-Averaged Data
For transient simulations, animations can be created to visualize the evolution of flow patterns over time. Time-averaged data helps understand the statistical properties of the flow, such as mean velocity profiles or temperature distributions.
Reports and Data Extraction
Extracting quantitative data, such as maximum/minimum values, average values, or integrated quantities (e.g., mass flow rates), for specific regions of interest within the domain.
Generating reports that summarize key simulation results and findings.
This phase empowers engineers with a deeper understanding of fluid and thermal behavior, allowing informed decisions that enhance system quality, performance, and reliability.
Stage 4
Validation and Verification
Validating CFD models ensures that numerical results match real-world performance. COFAN conducts thorough verification by comparing simulations with experimental or analytical data.
Validation data may include:
- Wind tunnel tests
- Flow visualization techniques
- Thermocouple temperature measurements
- Other controlled environment data
Overlaying simulation results with experimental benchmarks provides a methodology to verify accuracy. While perfect agreement is not always possible due to experimental and modeling uncertainties, reasonable alignment within tolerance ensures reliability and confidence in the CFD model’s predictive power.
- Proven Expertise in thermal and fluid dynamics.
- Advanced Solver Tools tailored for complex simulations.
- Validated Results that reduce prototyping costs and risks.
- Cross-Industry Applications from electronics to aerospace.
The COFAN CFD process is a structured, four-stage methodology designed to provide clarity, accuracy, and reliability. From defining requirements to solver execution, post-processing, and validation, each step transforms raw data into actionable insights that drive smarter, more efficient design decisions.
Whether optimizing electronics cooling, improving aerodynamics, or validating energy system performance, COFAN’s CFD expertise empowers engineers to create solutions that are more reliable, efficient, and cost-effective.