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October 2, 2025Pollack PeriodicaOpen Access

Data-driven lifetime estimation of solder joints with various geometries

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Authors

ABAntal BakonyiZSZ.S. SafarAZAmbrus Zelei

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Overview

This case study benchmarks data-driven models predicting solder joint lifetimes under thermal cycling, suggesting effective methods for industrial applications.

Key Points

  • The study demonstrates that data-driven methods effectively predict solder joint lifetimes under thermal cycling loads.
  • Using data from finite element simulation results, the approach offers timely lifetime estimates for solder joints.
  • Application of nonlinear function fitting and neural networks shows promising results for varying joint geometries.
  • The findings suggest that existing simulation data can help enhance the efficiency of lifetime predictions.

Cite This Study

Bakonyi et al. (2025) studied this question.

synapsesocial.com/papers/68de6f3f83cbc991d0a22ae6https://doi.org/10.1556/606.2025.01301
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  5. 5Failure Behavior and Mechanism of Solder Joint Under Thermal Mechanical Coupling Loads2026 · 1 citations