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Substitution of the values in Table 59.4 into Eq. 59.19 yields an acceleration factor of 0.641. Package A would be expected to survive 3,574 cycles (NfAB = NfAA/AF = 2,291/0.641) if subjected to condition B thermal loading conditions. The packages appear to be comparable. 59.2.6.3 Assessing Expected Field Life of a New Package Based on Thermal Cycle Data Given: Thermal cycle qualification data for a new ball grid array package (use package B in Table 59.4) and estimates of field loading conditions (see Table 59.5)

(continued)

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TABLE 59.5 Field Conditions for Example Power cycle Tmax ( C) Tmin ( C) T ( C) Frequency 65 25 40 1 cycle per 30 days, 30 min. duration Minicycle 80 65 15 4 cycles per day, 60 min. duration

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Solution: The process for solving this problem is as follows. The experimentally obtained qualification data (presented in Table 59.4) must be mapped into number of power cycles to failure and number of minicycles to failure. These estimates assume that only power cycles occur and that only minicycles occur (that is the underlying assumption when mapping the experimental data to the end-use power cycle and minicycle conditions). After mapping the experimental data into field conditions, Miner s rule is employed to assess the number of cycles to fail based on the simultaneous occurrence of both power cycles and minicycles throughout the package lifetime. When employing Eq. 59.14 to map power cycles and minicycles, it is important to consider the implications of how the frequency term is interpreted. The Norris-Landzberg approach assumes that the frequency corresponds to the duration of the cycle, not how often that cycle occurs.

Equation 59.14 can be employed to determine the acceleration factors. Equations 59.20 and Eq. 59.21 contain the expressions for power cycles and minicycles, respectively. T AF = L TP where

1/ 3

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Let s take a look at a simple example of how to implement drag and drop. In this example, you want to give the end user the ability to drag and drop the customer s first or last name into the E-mail Address field. Given that the customer s e-mail address is nearly always based on their first or last name, this might save the end user a few extra key presses. Simply drag an Attribute Drag Source component from the Component Palette onto each of the First Name and Last Name input fields. JDeveloper then prompts for which attribute of the component you want to drag. For example, you could drag the label, but in this case you want to drag the data value in the input text field, so select value. You can then drag and drop an Attribute Drag Target component as a child of the E-mail Address input text field, again, choosing value as the attribute you want the drop operation to act upon. Figure 15-2 shows the attribute drag-and-drop components. TIP If you have trouble locating any of the ADF Faces components in the Component Palette, you can type the name, or part of the name, into the search panel at the top of the Component Palette.

(59.20)

Program 16-4

AF = acceleration factor fP = cyclic frequency for a power cycle (2 cycles/hr) fL = cyclic frequency in the lab (1 cycle/hr) TP = maximum temperature of a power cycle (65 C, 338 K) TL = maximum temperature of the thermal cycle in the lab (100 C, 373 K) TP = difference between maximum and minimum temperature of a power cycle (40) TL = difference between maximum and minimum temperature of the thermal cycle in the lab (100) 1 T f 1 AF = L M exp 1414 TM fL TM TL

1.9 1/ 3

(59.21)

AF = acceleration factor fM = cyclic frequency for a minicycle (1 cycle/hr) fL = cyclic frequency in the lab (1 cycle/hr) TM = maximum temperature of a minicycle (80 C, 353 K) TL = maximum temperature of the thermal cycle in the lab (100 C, 373 K) TM = difference between maximum and minimum temperature of a minicycle (15) TL = difference between maximum and minimum temperature of the thermal cycle in the lab (100)

Substitution of the data in Tables 59.4 and 59.5 yields a power cycle acceleration factor of 10.6 and a minicycle acceleration factor of 45.6. Equation 59.10 can be rearranged to yield Eq. 59.22. Nfi = AFi NfL where Nfi = number of cycles to fail under minicycle (i) or power cycle (i) NfL = number of cycles to fail in the lab AFi = acceleration factor for minicycle (i) or power cycle (i) (59.22)

Blinking an LED at a Rate Controlled by a Potentiometer (continued)

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