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PCB material property extraction

Automated extraction of composite material properties via inverse analysis

6
Solid mechanics

The challenge

Accurately simulating composite structures (like PCBs) is difficult because the exact material properties of the layered stack-up are often unknown.

Traditional "Inverse Analysis" (tweaking simulation inputs until they match experimental vibration data) is a tedious manual process requiring dozens of trial-and-error iterations.

Approach with Quanscient Allsolve

The engineering team built a fully automated API workflow connecting Quanscient Allsolve to Python’s optimization libraries (SciPy).

The script automatically ran 85 iterative eigenmode simulations in the cloud, adjusting the anisotropic elastic constants after every run to minimize the error between the simulation and physical drop-test data.

Key results

  • Zero manual intervention: The API loop autonomously converged on the correct material properties after 85 iterations.
  • High accuracy: Achieved a 5.7% relative residual between the simulation and experimental data.
  • Complex modeling: Successfully determined 3 independent elastic constants for a complex JEDEC-standard PCB assembly.
Comparison of predicted eigenfrequencies with experimental measurements.