In thermal simulations, liquid cooling is often used to manage heat dissipation in high-performance electronics. While open-loop cooling systems can be simulated using "Fluid Subdomains" with assigned velocity inlet and pressure outlet boundary conditions, achieving a closed-loop system requires additional considerations. This article explores the challenges in modeling a closed-loop liquid cooling system and provides solutions for ensuring stability and accurate thermal performance.
A common challenge in transitioning from an open-loop to a closed-loop system is ensuring continuity between the inlet and outlet. The goal is to simulate an external pump that maintains a constant fluid flow rate while ensuring that the temperature of the fluid entering the inlet matches that of the fluid exiting the outlet.
Two primary methods can be used to maintain the same inlet temperature as the outlet temperature:
The internal fan method is generally preferred as it directly links the inlet and outlet, but it may introduce instability in the simulation. In such cases, a goal-dependent boundary condition can be used instead, which decouples the inlet from the outlet and improves stability.
One challenge that arose during implementation was that the surface goal temperature did not appear as an available option in the inlet boundary condition settings. Additionally, the simulation was being run in a steady-state mode, which further complicated parameter dependency.
However, a common issue encountered was that the parameter did not appear in the formula definition for the inlet boundary condition, leading to errors when manually entering it.
To resolve this, it is important to correctly define the parameter within the software’s settings. More details on how to create and use parameters can be found in Siemens' documentation:
Siemens Help Documentation.
Building a closed-loop liquid cooling simulation requires careful consideration of temperature continuity and stability. While the internal fan method is generally preferred, using a goal-dependent boundary condition can provide a more stable alternative in cases where simulation instability occurs. Properly defining parameters within the software is crucial to ensuring accurate boundary condition assignments.
By following these approaches, a closed-loop liquid cooling system can be successfully modeled, leading to more accurate thermal simulations and better cooling system designs.