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In Chap. 58, the critical design variables that could impact the reliability and manufacturability of printed circuit assemblies (PCAs) have been outlined. The use of various assessment tools to quantify the expected life of PCAs is an important aspect of design for reliability. Data collected from standard tests can be used with acceleration transforms and finite element analysis to assess the expected service life of any interconnect. Experimental data play a crucial role in reliability assessments. Poor data or data obtained under incorrect experimental conditions can lead to grossly inaccurate reliability assessments. Garbage in equals garbage out is nowhere more true than in interconnect reliability assessments. The history and experience gained over years of use of tin-lead solders are no longer applicable to leadfree assemblies because lead-free solders behave differently under the same end-use conditions and relatively little data are available on the characteristics of lead-free solders. The formulas for predicting the field life of solder joint interconnects would have to be revisited and validated with extensive experimental data. Moreover, the introduction of lead-free materials is accompanied by new failure mechanisms that are yet to be fully understood and mapped into field-life prediction models. 59.1.1 Experimental Tests The different levels of solder joint interconnects in a typical PCA are illustrated in Fig. 59.1. A myriad of experimental tools have been developed to assess solder joint reliability rapidly. These include:

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FIGURE 59.1 First-, second-, and third-level interconnects defined, employing a flip-chip assembly as an example. The first-level interconnect is the primary connection between the silicon die and the package substrate. In this example, the connection is created by the solder bumps between the die and the package. The second-level interconnect in this example is the next level of connection between the package substrate and the module substrate. The third-level interconnect in this example is created when the solder balls on the bottom side of the module substrate are attached via surface-mount technology (SMT) to the printed wiring board (PWB).

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Have you ever wondered why there are so many channels on TV yet it seems there s seldom anything you want to watch The simple answer is that there is an audience for everything, but not every program is interesting to every audience. The same idea applies to speaking situations. The trip to the land of Speech Disaster usually starts with failure to know important facts about your audience. It s up to you, the speaker, to choose the right message and delivery style for each group and each situation. We get information at incredible speed, and almost all of us are conditioned to use a remote control to surf through any message that doesn t matter to us. Multitasking is the norm, so for your presentation to have meaning, you have to connect with your audience. Although you ll often have to take an educated guess about some information, you must remember that assumptions can get you in big trouble. Do the best, most thorough research you can every time you speak. You can almost always nd information about an audience even a virtual one. Here are a few categories you ll want to learn about:

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Thermal cycling Thermal shock Air-to-air cycling Liquid-to-liquid cycling Mechanical bending Mechanical deflection Hyper-Peltier cooled thermal cycling

It is crucial for the PWB designer to understand the techniques employed, the applicability of the results, and the quality of the data when assessing the reliability of any package that will be placed on his or her PWB. Although rapid assessments are desirable, their benefit diminishes if the failure modes are fictitious and not indicative of expected field failures. 59.1.2 Impact of Lead-Free Materials on Reliability The conversion to lead-free materials requires a reassessment of these experimental tools and field-life assessment techniques. New materials and failure modes need to be adequately captured in numerical and experimental test methods to model correctly the sort of thermal and mechanical conditions that an interconnect would be exposed to in field operating conditions. The following key aspects of quantitative reliability assessment are discussed at length in this chapter:

Thermomechanical reliability: Temperature cycling tests used to determine the thermomechanical reliability of tin-lead and lead-free assemblies The role of Weibull plots in estimating the failure distribution and characteristic life of solder joints from temperature cycling data The acceleration transforms that can be used to estimate the field life of tin-lead and leadfree solder joints based on the results of temperature cycling tests The role of power and minicycles in predicting the field life of solder joints

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