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You may also present an initial question that will stimulate dialogue as you wait for all participants to join the webinar Set the pace to include the different levels of English uency Remember to slow down and pause, so the information can be absorbed Avoid the use of slang or sports lingo, such as give me a ballpark gure and that was a slam dunk Be patient with questions and comments, as it can take a little longer to formulate a question or respond in another language Be sure to invite questions if you are open to them, because in some cultures, questioning the teacher can be perceived as rude..

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FIGURE 59.17 Close-up of three solder joints. The local model is created from one of the solder joints and its associated PWB, package substrate, die, and overmold. In this figure, the leftmost ball and associated material for the local model are indicated by the area inside the dashed rectangle.

Plastic work and plastic strain are two of the most common local damage parameters employed in solder joint lifetime estimations. The type of damage parameter selected is usually dictated by the experimental data available for a specific joint type (BGA, CCGA) that correlate damage with fatigue life. A methodology that employs plastic work and a correlation between plastic work and crack initiation and propagation can be found in References 10 and 46.

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59.4.1.3 Phase 3: Solder Joint Fatigue-Life Assessment. The local model damage parameter is then employed to determine the fatigue life of a given joint. Techniques for assessing lifetime based on a damage parameter range from employing plastic strain (Coffin-Manson relationship, Eq. 59.8) to complex considerations of crack initiation and crack growth rates correlated with plastic work.10, 46 Regardless of the technique, the output of this phase is an estimate of the reliability of one joint: the worst-case solder joint. Some of the fatigue-life prediction models that have been employed for lead-free solder joints are outlined in Table 59.7. In addition, other models for predicting fatigue life from the finite element models and performing relative comparative analysis can be found in References 16 and 47.

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TABLE 59.7 Different Fatigue-Life Models for Predicting Fatigue Life from the Finite Element Model Results18 Fatigue-life model Nf = C1(ecr)C2 Nf = Number of cycles to fail ecr = Average equivalent creep strain Nf = C1( Wcr)C2 Wcr = Average viscoplastic strain energy density/cycle Constants C1 = 4.5 C2 = 1.295 Test conditions Flip-chip bumps with and without underfill. Wirebonded PBGA packages mounted on PWB Flip-chip bumps with and without underfill. Wirebonded PBGA packages mounted on PWB. Several different BGA packages: CABGA, CBGA, FlexBGA, PBGA, TSCSP, etc. Double power law creep constitutive relations.20 Several different BGA packages: CABGA, CBGA, FlexBGA, PBGA, TSCSP, etc. Double power law creep constitutive relations.20 Solder joint samples attached to copper coupons, subjected to cyclic loading. One-dimensional analytical model to derive constants. Reference Schubert48

1/Nf = 1/Nfp + 1/Nfc Nfp = (Wp /Wp0)1/c Nfc = (Wc /Wc0)1/d Nfp = Number of cycles to failure due to plastic damage Nfc = Number of cycles to failure due to creep damage Wp = Plastic work density calculated per load cycle Wc = Creep work density calculated per load cycle

A comparison of the results obtained by Schubert s48 model with those obtained by Syed s49 model can be found in Reference 51 It is important to note that these models are a function of the way that the material properties of the solder joints are modeled In other words, the solder material properties used to derive these models play a significant role in the accuracy of the models If a particular fatigue-life model is selected, the corresponding solder constitutive model used to derive the model constants should be used in the analysis In addition, several other factors could significantly alter the accuracy of a model, such as time step size, mesh density, material properties, reference temperature, element size, element type, and even software All these need to be taken into account when using a model to predict fatigue life.

Best practice recommendation is to run not just one, but a set of fatigue-life models and calibrate with existing experimental data before using the models to make fatigue-life predictions on packages on which no experimental data are available Finally, it is important to note that these models only provide guidance on trends and relative comparisons They should not be used as a substitute for experimental thermal cycle data for a given package under consideration 59414 Phase 4: Statistics-Based Package Reliability Assessment This final phase considers the reliability of all of the solder joints when determining the reliability of the packageTechniques employed here range from simply assuming that all joints are of equal reliability to performing a series reliability calculation to solve simultaneously an assumed distribution of failures (such as a Weibull distribution; see Sec 5922) considering each joint.

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