CAE Simulation
CFD Parameters: Fluid & Thermal Dynamics Validation
Computational Fluid Dynamics (CFD) at Edelweis is the digital wind tunnel and thermal laboratory for high-performance systems. We go beyond colorful heat maps to provide rigorous, physics-based data on flow behavior, pressure drops, and heat dissipation, ensuring thermal management systems are optimized for real-world efficiency.
1. The Fluid Physics Engine
We define the environment based on the specific molecular behavior of the medium, ensuring the solver respects thermodynamics and fluid mechanics laws:
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Flow Regime Classification: Utilizing Reynolds Numbers (Re) to state state. Turbulent flows are modeled using k-ω SST or k-ε for boundary layer accuracy.
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Compressibility: Analyzing high-velocity gas flows where density changes are significant (e.g., pneumatic exhaust).
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Multi-Phase Flow: Simulating interactions between different states, such as liquid cooling with vapor bubbles (cavitation).
2. Thermal Management Protocols
We treat heat as a dynamic force impacting both mechanical integrity and electronic performance:
Conjugate Heat Transfer (CHT)
Solving for heat transfer between solid components and fluid streams simultaneously. Critical for heat sinks.
Volumetric Generation
Simulating heat from CPU/GPU dies or battery cells using precise W/m³ power density definitions.
Convection Strategies
Modeling both Natural (buoyancy) and Forced (fan/pump) cooling using real-world PQ Curve data.
3. Boundary Conditions (The "Environment" Logic)
| Parameter | Technical Implementation | Engineering Utility |
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| Inlet Profile | Mass Flow Rate or Velocity Magnitude. | Defining the exact volume entering the system. |
| Opening/Outlet | Static Pressure (Ambient) or Environmental. | Simulating open-air exhaust or return lines. |
| Wall Functions | No-Slip with Roughness Parameters. | Accounting for friction of internal pipe surfaces. |
| Periodic Boundaries | Rotational or Translational Symmetry. | Reducing cost for fans, turbines, or arrays. |
4. Convergence & Mesh Rigor
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Prism Layer Meshing: Inflation layers at walls to capture boundary layer velocity gradients, crucial for drag coefficients.
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Residual Monitoring: Solutions are only accepted when residuals drop below 10⁻⁴ (standard) or 10⁻⁶ (high-precision).
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Mass Flow Balance: Verifying that Sum(Mass In) = Sum(Mass Out) to ensure no fluid is leaking through the mesh.
Technical Directives
| Directive | Protocol |
|---|---|
| Y+ Optimization | Mesh at walls must be sized for Y+ values appropriate to the turbulence model. |
| Steady vs. Transient | Transient solvers must be used for start-up cycles or rapid thermal spikes. |
| Gravity Vector | Must be aligned with Master Skeleton orientation to accurately model buoyancy. |