Vibrational analysis of printed circuit board for space applications

S., Kiran Aithal; N., Ramesh Babu; S., None Chethan K.; Manjunath, H. R.; J., Sudheer Reddy; Joshi, Nikhil

doi:10.1063/5.0116679

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2024

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“…In literature, there are more studies that used the modal analysis data to attain the mechanical properties of electronic assemblies. 28–30…”

Section: Introductionmentioning

confidence: 99%

An artificial intelligence-based approach for identifying the in-plane orthotropic mechanical properties of electronic circuit boards

Gharaibeh

2024

The Journal of Strain Analysis for Engineering Design

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The finite element modeling of electronic boards is a challenging task due to the complexity of the multi-component board structure. Hence, it is acceptable to attain equivalent orthotropic in-plane mechanical properties and use them throughout the finite element analysis (FEA) simulations. This paper aims to present an artificial intelligence-based methodology, using the artificial neural networks (ANNs), to estimate the in-plane mechanical properties of the printed circuit boards (PCB). In this methodology, the ANN technique used FEA data to find the relationship between the first 10 natural frequencies and the mechanical properties, that is, modulus of elasticity, Poisson’s ratio and the shear modulus, of the test board. Subsequently, the experimentally derived natural frequency data is then imported to the ANN model to identify the equivalent orthotropic properties. The ANN-predicted properties are plugged back into FEA and provided natural frequencies and mode shapes that are in great match with experimental results.

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“…In literature, there are more studies that used the modal analysis data to attain the mechanical properties of electronic assemblies. 28–30…”

Section: Introductionmentioning

confidence: 99%