A COMPONENT LEVEL PREDICTIVE RELIABILITY MODELING METHODOLOGYAuthors: Jennifer V. Muncy and Daniel F. Baldwin
Company: Georgia Institute of Tech
Date Published: 9/26/2004 Conference: SMTA International
A methodology is presented in this paper whereby existing reliability data can be leveraged to obtain ‘correction functions’ which can be used to modify a mean time to failure, MTTF, that was calculated analytically. A suggested analytical model will be presented in addition to the statistics based methodology that can be used to obtain correction functions. The correction factor approach is very similar to approach used for modifying fatigue strengths in engineering alloys. The concept of attaching correction functions to an unmodified variable is not new, fatigue strengths or endurance limits are modified to account for physical differences between the actual parts in use and the parts that were used to obtain the fatigue data.
Types of correction functions for steels include those for differences in loading conditions, temperature differences, and surface finish; correction functions for flip chip on board assemblies would be the glass transition temperature of the underfill, an area ratio for the solder joint, and the bond bad substrate metallization.
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