Universal fatigue life prediction equation for ceramic ball grid array (CBGA) packages

2007 ◽  
Vol 47 (12) ◽  
pp. 2260-2274 ◽  
Author(s):  
Andy Perkins ◽  
Suresh K. Sitaraman
Keyword(s):  
Fatigue Life ◽  
Life Prediction ◽  
Ball Grid Array ◽  
Prediction Equation ◽  
Fatigue Life Prediction ◽  
Ceramic Ball

Fatigue Life Prediction of Heat-Aging Vulcanized Natural Rubber

2006 ◽  
Vol 321-323 ◽  
pp. 518-521 ◽  
Author(s):  
Chang Su Woo ◽  
Wan Doo Kim
Keyword(s):  
Fatigue Life ◽  
Natural Rubber ◽  
Life Prediction ◽  
Prediction Equation ◽  
Damage Parameter ◽  
Fatigue Life Prediction ◽  
Aging Effects ◽  
Element Analysis ◽  
Fatigue Damage Parameter ◽  
Lagrange Strain

Heat-aging effects on the material properties and fatigue life prediction of natural rubber were experimentally investigated. The rubber specimens were heat-aged in an oven at the temperature ranging from 50oC to 100oC for a period ranging from 1 day to 90days. Fatigue life prediction methodology of vulcanized natural rubber was proposed by incorporating the finite element analysis and fatigue damage parameter determined from fatigue test. Fatigue life prediction equation effectively represented by a single function using the Green-Lagrange strain. Predicted lives are in a good agreement with the experimental lives within a factor of two

Fatigue Life Prediction of Thick-Section S2-Glass/Vinyl-Ester Composites Under Flexural Loading1

2000 ◽  
Vol 122 (4) ◽  
pp. 402-408 ◽  
Author(s):  
Hassan Mahfuz ◽  
Kamruz Zaman ◽  
Anwarul Haque ◽  
Costee Foy ◽  
Hisham Mohamed ◽  
...  
Keyword(s):  
Fatigue Life ◽  
Stress Level ◽  
Vinyl Ester ◽  
Life Prediction ◽  
Mathematical Formulation ◽  
Prediction Equation ◽  
Fatigue Life Prediction ◽  
Loading Cycle ◽  
Material Parameters ◽  
Two Parameters

Fatigue life prediction of S2-Glass/Vinyl-ester composites has been studied analytically using the fatigue modulus concept. Traditionally it is assumed that the fatigue modulus degradation is a function of loading cycle only. In our present investigation, it is found that the fatigue modulus is not only a function of loading cycle but also a function of applied stress level and thickness of the specimen. Using this concept, a practical and applicable method for predicting fatigue life is established. The method requires two distinct parameters that arise from the mathematical formulation. These two parameters are determined in two ways. In one case, the parameters are determined using failure cycle numbers at two different stress levels. In the other case, the parameters are determined using fatigue modulus values at two different cycles at a particular stress level. These material parameters have been determined experimentally using both the procedures. Utilizing the experimental data two appropriate functions for these two material parameters were obtained and incorporated into the life prediction equation. Fatigue life predictions using this method have been found to be within 10 percent of the experimental values. [S0094-4289(00)02404-X]

Thermal-Fatigue Life Prediction Equation for Plastic Ball Grid Array (PBGA) SnAgCu Lead-Free Solder Joints

2005 ◽  
Author(s):  
John Lau ◽  
S. W. Ricky Lee ◽  
Fubin Song ◽  
Dongkai Shangguan ◽  
Dennis C. Lau ◽  
...  
Keyword(s):  
Life Prediction ◽  
Ball Grid Array ◽  
Prediction Equation ◽  
Fatigue Life Prediction ◽  
Lead Free ◽  
Lead Free Solder ◽  
Thermal Fatigue Life ◽  
Plastic Ball ◽  
Plastic Ball Grid Array ◽  
Free Solder

A new thermal-fatigue life prediction equation for a class of lead-free solder alloys, 95.5wt%Sn4.0wt%Ag0.5wt%Cu, is proposed in this investigation. The test vehicle consists of a lead-free solder plastic ball grid array (PBGA) package, a lead-free PCB, and lead-free solder paste (95.5wt%Sn3.9wt%Ag0.6wt%Cu). The coefficients of the fatigue equation presented herein are determined by best fit of the test vehicle’s isothermal fatigue data. Failure modes and locations of the failed samples are discussed.

scholarly journals Prediction Method and Verification of Fatigue Life for a Turbine Disk with Bolt Hole

2019 ◽  
Vol 37 (4) ◽  
pp. 744-750
Author(s):  
Hongbin Liu ◽  
Wei Chen ◽  
Lin Liu
Keyword(s):  
Fatigue Life ◽  
Fatigue Test ◽  
Life Prediction ◽  
Stress Gradient ◽  
Prediction Method ◽  
Prediction Equation ◽  
Fatigue Life Prediction ◽  
Turbine Engine ◽  
Bolt Holes ◽  
Simulation Unit

In order to improve the fatigue life prediction accuracy of FGH96 material for turbine engine at higher stress gradient notch, such as bolt holes, the new mean stress formula is used in this paper, the effect of stress gradient and size effect are considered at the same time, Fatigue test of FGH96 material inter-stage disc simulation test piece is done, and the parameters in the life prediction equation of the model are fitted. Further study on fatigue test of FGH96 material turbine pin bolt hole simulation unit is done, and test results is compared with the forecast results. The result shows that, the improved fatigue life prediction method has higher accuracy, and the validity of the method is proved.

A Multi-Axial Fatigue Limit Prediction Equation for Metallic Materials

2020 ◽  
Vol 142 (3) ◽  
Author(s):  
Bowen Liu ◽  
Xiangqiao Yan
Keyword(s):  
Fatigue Life ◽  
Prediction Model ◽  
Fatigue Limit ◽  
Life Prediction ◽  
Prediction Equation ◽  
Fatigue Life Prediction ◽  
Stress Effect ◽  
Metallic Materials ◽  
Life Prediction Model ◽  
Axial Fatigue

Abstract Based on the multi-axial fatigue life prediction model presented recently by the authors, in this note, a fatigue limit prediction equation for metallic materials under multi-axial loading is proposed. In the multi-axial fatigue life prediction model, the wildly used von Mises equivalent stress is taken as an equivalent fatigue mechanical quantity, and the multi-axial fatigue life prediction equation has the invariance of mathematical equation form. By applying the multi-axial fatigue life prediction equation without mean stress effect to fatigue limit case, a simple fatigue limit prediction equation can be obtained. By using a large number of experimental data of metallic materials reported in literature, it has been proven that the fatigue limit prediction equation is not only simple in computation but also high in accuracy.

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