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A Multiscale-Stochastic Finite Element Approach to Shock-induced Polysilicon MEMS Failure

机译:震动诱导多晶硅MEMS失效的多尺度随机有限元方法

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The effects of mechanical shocks on polysilicon MEMS accelerometers are here investigated within the frame of a multi-scale finite element approach. To accurately model MEMS dynamics and possible failure events, three length-scales are explored: macroscale, characterized by stress waves propagating inside the package and eventually impinging upon sensor anchors; mesoscale, characterized by forced vibrations of the whole sensor; microscale, characterized by possible nucleation and propagation up to percolation of trans- and/or inter-granular cracks in highly stressed regions of the sensor. Focusing on microstructural features, we show that the morphology of the polysilicon film constituting the movable parts of the sensor does affect MEMS failure. Account taken of brittleness of polysilicon at room temperature, a Monte Carlo methodology is employed to assess the links between failure mode and: the orientation of the axes of elastic symmetry of each FCC silicon grain; the trans-granular strength and toughness anisotropy; the network of grain boundaries (GBs); the mechanical properties of GBs.
机译:这里在多尺度有限元方法的框架内研究了机械冲击对多晶硅MEMS加速度计的影响。为了准确地模拟MEMS动态和可能的故障事件,探索了三个长度:宏观,其特征在于在包装内传播并最终撞击传感器锚固件; Mesoscale,其特征在于整个传感器的强制振动;微观尺寸,其特征在于,在传感器的高压区域中可能的核和/或颗粒状裂缝的渗透可能的成核和传播。专注于微观结构特征,我们表明,构成传感器的可移动部件的多晶硅膜的形态会影响MEMS故障。在室温下,多晶硅脆性所采用的帐户,采用蒙特卡罗方法来评估失效模式和:每个FCC硅粒的弹性对称轴的方向;反式粒状强度和韧性各向异性;晶界网络(GBS); GBS的机械性能。

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