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Theory: Electronic components generate heat energy and dissipate a significant amount onto PCBs. Thermal management techniques such as heat sinks are often used to accelerate the heat dissipation rate from the electronic component to the ambient. Heat sinks offer low thermal resistance from the junction to the case and…
Soudip Hazra
updated on 12 Jun 2022
Theory:
Electronic components generate heat energy and dissipate a significant amount onto PCBs. Thermal management techniques such as heat sinks are often used to accelerate the heat dissipation rate from the electronic component to the ambient. Heat sinks offer low thermal resistance from the junction to the case and case to ambient, thus facilitating heat transfer. While specifying the heat sink for the electronic component of interest, heat energy dissipation through the PCB becomes significant. The thermal properties of a PCB are critical to the operating junction temperature of the component. The thermal conductivity property of PCBs is even more critical with the proliferation of high power density and high-speed electronic circuit design.
Thermal Conductivity of PCBs
PCBs are layered structures consisting of copper foils and glass-reinforced polymers that connect components electrically and support them mechanically using pads, conductive traces, and vias. High thermal conductivity copper foils are sandwiched between low thermal conductivity glass-epoxy layers. The copper forms the conductive circuit in a PCB, whereas glass-epoxy layers are the non-conductive substrate.
Conductive Materials
The most commonly used conductive material is copper. Other options include aluminium, chrome, and nickel. The non-conductive substrate most commonly used is FR-4 laminate. The thermal conductivity of copper is about 400 W/m/K and the thermal conductivity of FR-4 is 0.2 W/m/K. The copper acts as a thermal conductor and the laminate acts as a thermal insulator. There is a vast difference between the thermal conductivity of copper and FR-4, and this makes the effective thermal conductivity of the PCB anisotropic.
Objective:
A PCB board, library files, and traces are imported to create the model. The model is first solved for conduction only, without the components and then solved using the actual components with forced convection.
Conduction model:
Modeling: Files are provided with this
Layer No. |
Layer Thickness (mm) |
1 |
0.04 |
2 |
0.45364 |
3 |
0.062 |
4 |
0.467 |
5 |
0.055 |
6 |
0.442 |
7 |
0.045 |
PCB model from the board file
Importing the board layer thickness and via layer information:
Metal fraction:
Trace by single colour
Trace by layer
Trace by colour
Mesh settings:
Mesh of board PCB file
Cabinet inlet wall BC
Cabinet outlet wall BC
Boundary condition:
Basic parameter
Convergence parameter
Advanced settings:
Post processing:
Iteration convergence
Temperature contour
Conductivity in x direction
Conductivity in y direction
Conductivity in z direction
The temperature contour shows the thermal gradient from 351 degree C to 20 degree C. The temperature at the base of board is found to be maximum and the minimum at the other areas.
The thermal conductivity in z direction is maximum with area of heat distribution maximum, on the other side thermal conductivity in x and y axis is very minimum with few hot spot areas.
Force convection model:
Meshing & BC setting:
put the actual components back into the model
Highlight the two wall objects created for the “conduction only" model and drag them into the Inactive folder. Click on the Cabinet and Autoscale it from the Edit window.
assign an X Velocity of -1.5 m/s for Max x side of the cabinet
Generate mesh. Specify a Max element size for X, Y, Z as 9.5, 7, and 0.7 mm respectively.
PCB model for all components
Importing the board layer thickness and via layer information:
Metal fraction:
Trace by single color
Trace by layer
Trace by colour
Mesh settings:
Mesh x
Mesh y
Mesh z
Face alignment
Volume
Skewness
Cabinet inlet wall BC
Cabinet outlet wall BC
Boundary condition:
Flow BC
Inlet velocity BC
Convergence parameter
Advanced settings:
Post processing:
Iteration
Monitor points
Board Temperature contour
The board temperature distribution with all components shows maximum of 97.64 degree C and minimum of 20 degree C. At the cabinet outlet the temperature is minimum and maximum at the heat generated sources.
Temperature contour
At the system level , the max temp is found at the heat generating source, which is at temperture 97 degree c, while at the outlet of the cabinet the temperature is 20 degree C.
The heat sink dissipates the maximum heat where the temperature is at 49 degree.
Temp x
Temp y
Temp z
The temperature at the junction is maximum, while at the outlet is minimum. The heat sink temperature is 52 degreeC, the forced cooling is optimally from inlet to outlet.
Conductivity in x direction
Conductivity in y direction
Conductivity in z direction
Joule/Trace Heating
Since PCB traces have electrical resistance, they heat up as current flows through them.Modeling this phenomenon will provide us with an accurate prediction of the temperaturedistribution in the PCB, which can be important, for example, in evaluating the performance ofthe cooling system. The model in the tutorial contains imported traces and will be used in thistutorial. You will determine the Joule/trace heating capacity of the traces.
PCB trace model
PCB model with source
Mesh settings:
Mesh x
Mesh y
Mesh z
Boundary condition:
Trace BC
Trace properties
Basic parameter
Joule BC
Joule trace BC
Advanced settings:
Post processing:
Iteration
Monitor points
Temperature contour
Electrical potential
Conductivity in x direction
Conductivity in y direction
Conductivity in z direction
Conclusions:
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