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Assessing the value of a lead-free solder control plan using cost-based FMEA
Affiliation:1. CALCE Electronic Products and Systems Center, Department of Mechanical Engineering, University of Maryland, College Park, MD, USA;2. New Aspen Consulting, LLC, Tucson, AZ, USA;1. University of Veracruz, Xalapa, Veracruz, Mexico;2. Dept. of Electronic Engineering, National Institute for Astrophysics, Optics and Electronics-INAOE, Puebla, Mexico;1. Research Center of Micropheripheric Technologies, Technical University of Berlin, Berlin 13355, Germany;2. Fraunhofer Institute for Reliability and Microintegration (IZM), Berlin 13355, Germany;1. Department of Mechanical Engineering, Tsinghua University, Beijing 100084, China;2. Institute of Scientific and Industrial Research, Osaka University, Mihogaoka 8-1, Ibaraki, Osaka 567-0047, Japan;1. Physics Department, Faculty of Science, Zagazig Univ., Zagazig, Egypt;2. Center of Nanotechnology, Zagazig Univ., Zagazig, Egypt
Abstract:While the transition to lead-free electronics, which began nearly a decade ago, is complete for most commercial products, many safety, mission and infrastructure critical systems that were originally exempt from RoHS and WEEE are only now transitioning. For these types of products qualification is very expensive and the consequences of failure can be catastrophic, therefore carefully engineered control plans are needed when technology or process changes are required. A control plan is a set of activities that a manufacturer can choose or be required to perform to ensure product performance. This paper uses cost-based FMEA to determine the projected cost of failure consequence for a technology insertion control plan for the adoption of lead-free solder for the assembly of electronic systems in critical applications that previously used tin–lead solder. A case study of the lead-free implementation of a power supply demonstrates the return on investment of the control plan for the same product under to different risk scenarios.
Keywords:Lead-free solder  Cost modeling  Reliability  Control plan
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