Research on the estimation of thermoelastic physical parameters based on a GNN-PINN hybrid model

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Authors: Jialun Li, Feng Qiu, Daiyang Sui, Chunyu Wei
Cited by: 0

Abstract

This paper proposes a GNN-PINN hybrid model for estimating thermoelastic parameters in BGA and QFN packaging structures, enabling quantitative analysis of solder fatigue in electronic devices. For BGA packaging, the PCBA is simplified as a non-homogeneous elastic plate, and the hybrid model captures micro-mechanical behavior at material interfaces under multi-scale, multi-field conditions. For QFN packaging, a layered graph network with direction-sensitive message passing and principal stress constraints is developed to extract directional equivalent parameters. Simulations reveal that QFN structures experience notable deformation under thermal cycling, particularly at high temperatures.

Fields of Study & Subjects

Electronic Packaging and Soldering Technologies Model Reduction and Neural Networks Mechanical and Thermal Properties Analysis

Publication details

Journal / source
International Conference on Advanced Manufacturing Technology and Electronic Information (AMTEI)
Pages
93–93
Publication date
14 January 2026