• DocumentCode
    1712063
  • Title

    Solder life prediction for leadless chip carriers

  • Author

    McKeown, Stephen A.

  • Author_Institution
    GE Aircraft Controls, Johnson City, NY, USA
  • fYear
    1992
  • Firstpage
    114
  • Lastpage
    119
  • Abstract
    An approach is described which incorporates the results of energy-based studies and solder-to-package mismatch into a single solder life model of comparable complexity to the Manson-Coffin approach. This model is verified by detailed analytical models and test data. Hazard rate analysis is used to properly account for the failed and unfailed items, and to determine the reliability distribution. The reliability distribution is incorporated into the solder joint model to analytically provide cycles to failure at various reliability levels. This method predicts the solder joint life in long-term thermal cycling, leading to reduced field failure rates. Applications for this approach include life prediction for the the US Air Force Avionic Integrity Program (AVIP) and life prediction for various military and commercial avionic programs
  • Keywords
    aircraft instrumentation; electronic equipment testing; failure analysis; life testing; military equipment; reliability; soldering; Manson-Coffin approach; US Air Force Avionic Integrity Program; analytical models; commercial avionics; hazard rate analysis; leadless chip carriers; life prediction; long-term thermal cycling; military avionics; reduced field failure rates; reliability distribution; solder life model; solder-to-package mismatch; Aerospace control; Aerospace electronics; Analytical models; Capacitive sensors; Electronic packaging thermal management; Failure analysis; Fatigue; Lead; Plastics; Soldering;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Digital Avionics Systems Conference, 1992. Proceedings., IEEE/AIAA 11th
  • Conference_Location
    Seattle, WA
  • Print_ISBN
    0-7803-0820-4
  • Type

    conf

  • DOI
    10.1109/DASC.1992.282173
  • Filename
    282173