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Sintered silver finite element modelling and reliability based design optimisation in power electronic module
Affiliation:1. IMS Laboratory, University of Bordeaux, 33405 Talence, France;2. LMR Laboratory, EA 2640, University of Tours, Polytech Tours DMS, 37200 Tours, France;3. IMS Laboratory, Bordeaux Institute of Technology, 33405 Talence, France;4. ST Microelectronics, LAT Laboratory, 10 rue Thales de Millet, 37100 Tours, France;5. LABINAL Power Systems, Safran Group, Rond-point René Ravaud, 77551 Moissy-Cramayel, France;1. School of Materials Science and Engineering, Tianjin Key Laboratory of Advanced Joining Technology, Tianjin University, Tianjin, PR China;2. Department of Materials Science and Engineering, Virginia Tech, Blacksburg, VA, USA
Abstract:This paper discusses the design for reliability of a sintered silver structure in a power electronic module based on the computational approach that composed of high fidelity analysis, reduced order modelling, numerical risk analysis, and optimisation. The methodology was demonstrated on sintered silver interconnect sandwiched between silicon carbide chip and copper substrate in a power electronic module. In particular, sintered silver reliability due to thermal fatigue material degradation is one of the main concerns. Thermo-mechanical behaviour of the power module sintered silver joint structure is simulated by finite element analysis for cyclic temperature loading profile in order to capture the strain distribution. The discussion was on methods for approximate reduced order modelling based on interpolation techniques using Kriging and radial basis functions. The reduced order modelling approach uses prediction data for the thermo-mechanical behaviour. The fatigue lifetime of the sintered silver interconnect and the warpage of the interconnect layer was particular interest in this study. The reduced order models were used for the analysis of the effect of design uncertainties on the reliability of the sintered silver layer. To assess the effect of uncertain design data, a method for estimating the variation of reliability related metrics namely Latin Hypercube sampling was utilised. The product capability indices are evaluated from the distributions fitted to the histogram resulting from Latin Hypercube sampling technique. A reliability based design optimisation was demonstrated using Particle Swarm Optimisation algorithm for constraint optimisation task consists of optimising two different characteristic performance metrics such as the thermo-mechanical plastic strain accumulation per cycle on the sintered layer and the thermally induced warpage.
Keywords:Reduced order models  Power electronic module  Risk analysis  Particle Swarm Optimisation  Kriging  Radial basis
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