Dynamic Performance of Water Seals and Fatigue Failure Probability Updating of a Hydraulic Steel Sluice Gate

2016 ◽  
Vol 30 (4) ◽  
pp. 04015082
Author(s):  
Kun Li
Keyword(s):  
Fatigue Failure ◽  
Failure Probability ◽  
Dynamic Performance ◽  
Sluice Gate ◽  
Probability Updating

Prognostic Health Monitoring Method for Fatigue Failure of Solder Joints on Printed Circuit Boards Based on a Canary Circuit

2013 ◽  
Author(s):  
Kenji Hirohata ◽  
Yousuke Hisakuni ◽  
Takahiro Omori ◽  
Tomoko Monda ◽  
Minoru Mukai
Keyword(s):  
Fatigue Failure ◽  
Health Monitoring ◽  
Failure Probability ◽  
Printed Circuit Boards ◽  
Solder Joints ◽  
High Density ◽  
Probability Estimation ◽  
Circuit Boards ◽  
Printed Circuit ◽  
High Density Packaging

Continuing improvements in both capacity and miniaturization of electronic equipment such as solid state drives (SSDs) are spurring demand for high-density packaging of NAND-type flash memory mounted on SSD printed circuit boards. High-density packaging leads to increased fatigue failure risk of solder joints due to the decreased reliability margin for stress. We have developed a failure precursor detection technology based on fatigue failure probability estimation during use. This method estimates the cycles to fatigue failure of an actual circuit by detecting broken connections in a canary circuit (a dummy circuit of daisy-chained solder joints). The canary circuit is designed to fail earlier than the actual circuit under the same failure mode by using accelerated reliability testing and inelastic stress simulation. The statistical distribution of the strain range of solder joints can be provided by Monte Carlo simulations based on the finite element method and random load modeling. A feasibility study of the failure probability estimation method is conducted by applying the method to a printed circuit board on which a ball grid array (BGA) package is mounted using BGA solder joints. The proposed method is found to be useful for prognostic health monitoring of solder joint’s fatigue failure.

Improved fatigue failure model for reliability analysis of mechanical parts inducing stress spectrum

2021 ◽  
pp. 1748006X2098740
Author(s):  
Yuhan Wang ◽  
Xintian Liu ◽  
Haijie Wang ◽  
Xu Wang ◽  
Xiaolan Wang
Keyword(s):  
Fatigue Strength ◽  
Fatigue Limit ◽  
Fatigue Failure ◽  
Failure Probability ◽  
Great Influence ◽  
Prediction Method ◽  
Random Parameter ◽  
Simulation Method ◽  
Failure Model ◽  
Stress Spectrum

To study the influence of random parameter on the reliability of the vehicle front stabilizer bar, the fatigue strength is analyzed according to the random fatigue strength prediction method, then the fatigue limit of the actual parts are estimated, a new fatigue failure model is improved by using the fatigue limit [Formula: see text] of actual parts. Through this model, the stress spectrum collected by real vehicle is introduced, Monte-Carlo simulation method is adopted to analyze the reliability and sensitivities of stabilizer bar under driving conditions. In addition, the influence of each basic random parameter on the failure probability is obtained. The results show that stabilizer bar diameter has a great influence on the failure probability, which provides certain reference for improving the reliability of the front stabilizer bar.

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