Applied Sciences · 2021 · 29 citations · 7 references
EngineeringDigital TwinningComputer-aided DesignPower Electronic SystemsPrinted Circuit BoardLifetime PredictionPower ElectronicsReliability EngineeringModeling And SimulationElectronic PackagingPower Electronic DevicesReliabilityElectrical EngineeringHardware ReliabilityEngineering Failure AnalysisReliability PredictionDevice ReliabilityPhysic Of FailureAdvanced PackagingPcb DegradationCircuit ReliabilityElectrical Insulation
This paper presents the use of physics of failure (PoF) methodology to infer fast and accurate lifetime predictions for power electronics at the printed circuit board (PCB) level in early design stages. It is shown that the ability to accurately model silicon–metal layers, semiconductor packaging, printed circuit boards (PCBs), and assemblies allows, for instance, the prediction of solder fatigue failure due to thermal, mechanical, and manufacturing conditions. The technique allows a life-cycle prognosis of the PCB, taking into account the environmental stresses it will encounter during the period of operation. Primarily, it involves converting an electronic computer aided design (eCAD) circuit layout into computational fluid dynamic (CFD) and finite element analysis (FEA) models with accurate geometries. From this, stressors, such as thermal cycling, mechanical shock, natural frequency, and harmonic and random vibrations, are applied to understand PCB degradation, and semiconductor and capacitor wear, and accordingly provide a method for high-fidelity power PCB modelling, which can be subsequently used to facilitate virtual testing and digital twinning for aircraft systems and sub-systems.
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A Physics-of-failure based Prognostic Method for Power Modules
C. Yin, Hua Lu, Mahera Musallam et al. · 2008 · 35 citations
Power Electronic Modules, Engineering, Compact Thermal Model +18