Statistical method of extracting assembly stresses in over-constrained solder-less press-fit pin technology for vibration reliability analysis

Abstract Solderless press-fit technology is increasingly favored over lead-free solder mountings due to cost-effective design benefits amid lead-free regulations. However, its over-constrained nature causes assembly issues and preload stress in pins, leading to fatigue failure under vibration. This paper extends previous research by presenting a method to evaluate the robustness of these assemblies under vibration-induced fatigue, considering assembly-induced stresses as static preload stress. The proposed statistical method uses Monte Carlo simulations to compute the distribution of pin failures due to fatigue, providing a comprehensive analysis that traditional worst-case FEA simulations cannot. This approach aids in identifying worst-case scenarios, predicting failure percentages, ranking designs, and improving design robustness through iterative feedback during the design phase.

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Publication Details

Journal
IOP Conference Series Materials Science and Engineering
Published
2024-10-01
DOI
https://doi.org/10.1088/1757-899x/1319/1/012026
Primary Topic
Metallurgy and Material Forming
Type
article
Field-Weighted Citation Impact
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article

Statistical method of extracting assembly stresses in over-constrained solder-less press-fit pin technology for vibration reliability analysis

Mihai Drienovsky, Arjana Davidescu, Cristian Sorin Nes, Daniel Marius Pop
IOP Conference Series Materials Science and Engineering
Metallurgy and Material Forming
article

Statistical method of extracting assembly stresses in over-constrained solder-less press-fit pin technology for vibration reliability analysis

Mihai Drienovsky, Arjana Davidescu, Cristian Sorin Nes, Daniel Marius Pop
article en

Abstract

Abstract Solderless press-fit technology is increasingly favored over lead-free solder mountings due to cost-effective design benefits amid lead-free regulations. However, its over-constrained nature causes assembly issues and preload stress in pins, leading to fatigue failure under vibration. This paper extends previous research by presenting a method to evaluate the robustness of these assemblies under vibration-induced fatigue, considering assembly-induced stresses as static preload stress. The proposed statistical method uses Monte Carlo simulations to compute the distribution of pin failures due to fatigue, providing a comprehensive analysis that traditional worst-case FEA simulations cannot. This approach aids in identifying worst-case scenarios, predicting failure percentages, ranking designs, and improving design robustness through iterative feedback during the design phase.

IOP Conference Series Materials Science and EngineeringVol. 1319(1)
OTH Regensburg (DE), Polytechnic University of Timişoara (RO)
Openalex Percentile: Top 57%
Metallurgy and Material Forming
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