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John Wilson
AUTOMATIC THERMAL CALIBRATION OF DETAILED IC PACKAGE MODELS
Electronics Product Specialist
Mechanical Analysis Division
June 2016
2© 2010 Mentor Graphics Corp. Company Confidential
www.mentor.com
Topics
Motivation
Calibration Process Comparison
Automated Calibration Example
JRW, Automatic Thermal Calibration, June 2016
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Model Calibration - Motivation
Calibrating thermal models to match transient measurements is critically important for modern electronics thermal design.
Maximize Model Accuracy— Calibrating all model aspects for all package time constants ensures the
package will respond accurately for any steady state or transient application. Relying on single metric type data is not enough.
— Vital to demonstrate this accuracy to ensure informed design decisions are made
Certified Supply Chain Models— Provide simulation models that will respond correctly to any driving power
profile.— Provide empirical evidence that this is the case.
JRW, Automatic Thermal Calibration, June 2016
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Model Calibration Process Comparison
JRW, Automatic Thermal Calibration, June 2016
Historical Process
FloTHERM and T3Ster Automated Process
Good Enough?
Steady state at discrete points
Transient thermal response
Initial model with best known values
Initial model with range of somewhat known values
Fully Calibrated
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T3Ster: Experimental Measurement
JRW, Automatic Thermal Calibration, June 2016
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T3Ster Measurement Output
JRW, Automatic Thermal Calibration, June 2016
P1
P2
t
P
ΔP
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T3Ster Structure Function
T3Ster Master software converts the measured thermal response into a Structure Function. One way to interpret this is the RC path that the heat takes from the junction, through the device, and to the ambient.
Die
Die Attach
Copper
Solder/Insulation
CopperFrame
TIM
ColdPlate
Ambient
JRW, Automatic Thermal Calibration, June 2016
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Calibration Example
A detailed FloTHERM model of the package was simulated in a virtual test environment with best known input values
JRW, Automatic Thermal Calibration, June 2016
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Quantifying Uncertainties
JRW, Automatic Thermal Calibration, June 2016
…And the range of somewhat known values
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Calibration Interface
Important factors— Import measurement data,
define temperature to calibrate
— Specify/adjust design limits— Verify measurement and
analysis consistency— Design Experiments— Calibration extent
JRW, Automatic Thermal Calibration, June 2016
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Design Of Experiments
JRW, Automatic Thermal Calibration, June 2016
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Calibration Results
JRW, Automatic Thermal Calibration, June 2016
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Response Surface Optimization Output
JRW, Automatic Thermal Calibration, June 2016
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Result Comparison: Peak Temperature
JRW, Automatic Thermal Calibration, June 2016
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Result Comparison: Temperature Distribution
JRW, Automatic Thermal Calibration, June 2016
Uncalibrated
Calibrated
80ms Pulse, t: 20ms
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Summary
Correlating a model against transient measurements provides the most accuracy
Structure functions help identify areas of inconsistency between the assigned model values and measurement results
Automating calibration provides for a repeatable and scalable process
Thanks!
JRW, Automatic Thermal Calibration, June 2016
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w w w . m e n t o r . c o m
JRW, Automatic Thermal Calibration, June 2016
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