Project Introduction
Thermal management is essential to antenna design and operation, especially in high-power or space applications. Proper
thermal management ensures that antennas can perform optimally, remain reliable, and avoid damage due to excessive heat.
High-power antennas generate heat during transmission due to dissipating power in the antenna’s conductive components.
Efficient heat dissipation mechanisms, such as heat sinks or cooling fins, help dissipate excess heat and maintain the
antenna’s temperature within acceptable limits
Process Statement
Antennas are vital components of wireless communication systems, enabling the transmission and reception of
electromagnetic waves. When an alternating current flows through an antenna, it creates an oscillating electric field.
This oscillating field, in turn, generates a corresponding electromagnetic wave that propagates through space. The
geometry and design of the antenna determine the radiation pattern, polarization, and frequency characteristics of the
emitted or received signals. During this process, a lot of heat is generated by the ICs at work.
Antenna model
Problem Statement
# The excess temperature affects the performance of the antenna in a negative way so our customer approached us with
their newly developed antenna to study its thermal behavior and optimize them for better performance of the antenna.
# Since the antenna is to be positioned under direct sunlight the temperature inside the antenna will be more than
usual.
# With decades of experience in the computational fluid dynamics industry and highly talented professionals, we were
able to help our customers by creating a digital twin of the existing model and conducting a computational fluid
dynamics study on the model.
Simulation setup
Task Executed
Problems Encountered and Resolutions
Initially, we tried using the existing CAD file for the simulation. So, we tried to mesh and solve only one
heatsink with chips but during the meshing process, we encountered a lot of skewed and poor-quality elements in
the mesh. Also, during the initial solution, the convergence curve was not as good as expected.
To overcome this issue, we decided to recreate the entire model inside the software itself but instead of
recreating the entire model at once, we proceeded one step at a time. So, we created one heatsink then one row
of heatsinks then the entire model thus higher quality mesh was achieved.
With the initial mesh, the temperature gradients on the IC were not captured properly because of the lower
number of cell count along the IC height. So, the IC mesh was refined with 8 cells along its height to capture
the correct behavior of two resistor model network chips.
Because of the non-conformal mesh between the thermal pad and the heatsink, the thermal distribution between
them was poor. We meshed the components again with mesh connectivity to solve this problem.
Initially, the k-omega turbulence model was used, and because of that the solution diverged after a certain set
of iterations. So, after brainstorming, we found the k-epsilon turbulence model will be more suited for this
application and we continued the simulation with the k-epsilon turbulence model
Results
Problems Identified
Improvements
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