Immersion Cooling - Ansys Fluent

Title: Immersion Cooling - Ansys Fluent Hello everyone, in today's video we showcase an emulsion cooling demo for an electronic component. We start with the PCB geometry, which has a few individual solid components. Shear topology has been applied amongst these different components.

The PCB board is surrounded by an enclosure, with an inlet where water will flow in, and an outlet for the water to exit. The wall for the tank has been marked. We transfer the geometry to Fluent, and set up the initial mesh configuration for the surface mesh to be created.

We'll be creating a conjugate heat transfer problem, so we want both the solid and fluid regions. One will automatically identify the boundary conditions based on the named sections. This problem will include a boundary layer, with a uniform boundary layer and a first cell height of 0.15 mm.

Finally, we will generate a polyhedral mesh. The mesh is generated, and we can look at how the mesh profile looks like. We can also look at the inflation layer proof. Now, we switch to the solution mesh, which will be transferred to the Fluent calculator.

We add solid materials to the problem statement, so they can be used at the appropriate location, such as polymer. We will look at the geometry of this piece method, as explained in the SERIS image method video. We will see the ratio of the wall, as shown in the graph.

We express our α, so how many existing cells in the value number add the heat. We will use a source term. The source term value is defined by expressions. The first part of the problem will be set up as a single-phase problem, so the multi-phase model will be set to off.

We will use a transient formulation. The fluid material that is being used for this problem is liquid water. Next, we will set up our report definition to track the maximum temperature at all the cell zones. We initialize the problem and run the calculation for 500 time steps using a time set.

The maximum temperature of individual cell zones is recorded using this report definition. We can see how the solution is converged and how the maximum temperature has reached a constant value.

Now, we will start setting up the multi-phase model to see how the solution changes when we have phase change. The first phase will be the liquid phase, and the secondary phase will be the vapor phase. Default settings will be used for the drag coefficient.

We will set up mass transfer mechanism for liquid vapor conversion and use the d model to set it up. We will reduce the saturation temperature to 320 Kelvin.

With the reduced saturation temperature, we would expect the phase transfer mechanism to begin as soon as the solution starts, and the temperature should start dropping. We will create another volume report. Using this report, we will track the amount of vapor within the system.

We will create a volume integral. Now, we will set up the time step sizing to multi-phase specific using the adaptive time advancement. We will reduce the initial time step size to 1e-4 and start the calculation. We can see immediately that the vapor phase has started forming.

On the right-hand bottom, we present a scene of PCB temperature with vapor volume isosurface. The top right-hand corner curve represents the total vapor volume in the system. The curve on the left-hand side represents the maximum temperature in individual cell zones.

We can see the vapor volume has reached a steady state and so has the maximum temperature values. The overall benefit of adding mass transfer is that the maximum temperatures are much lower than when it was a single-phase problem. Thank you for your time.