组合式高温压力传感器失效模式分析与优化

R. Zeiser, S. Ayub, M. Berndt, Jens Müller, J. Wilde
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引用次数: 1

摘要

在恶劣的汽车环境中,热机械应力是限制传感器系统可靠性的主要因素。本研究通过有限元模拟分析了工作温度高达500°C的压力传感器的应变和应力及其对性能和可靠性的影响。铂基、电阻压力传感器,制造薄膜技术和大块微加工是本研究的主题。该封装技术结合了具有低热膨胀系数(CTE)的陶瓷基板和玻璃焊料工艺。所研究的传感器衬底是AlN, Si3N4和低温共烧陶瓷(LTCC)。传感器的互连选择了两种不同的装配变体:铂细线键合和金微凸点互连。建立了传感器组件的三维有限元模型,包括温度相关的材料特性,以分析不同组件的机械应力分布。我们在室温下测量了芯片的整体变形,以验证我们的有限元模型。结合有限元模拟和金相器件截面分析,确定了空腔密封裂纹是传感器的主要失效机制。通过有限元模拟,用我们的倒装芯片方法与ltcc衬底结合组装的器件在信号移位和可靠性方面表现出优化的性能。优化后的传感器信号漂移从27%降低到3%。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Failure mode analysis and optimization of assembled high temperature pressure sensors
Thermal-mechanical stresses are a dominant factor limiting the reliability of sensor-systems in harsh automotive environments. Strains and stresses and their effect on the performance and reliability of pressure sensors with operation temperatures up to 500 °C are analyzed with FE-simulations in this study. Platinum based, resistive pressure sensors, fabricated in thin film technology and bulk micro-machining are the subject of this study. The packaging technology combines ceramic substrates with low coefficients of thermal expansion (CTE) and a glass-solder process. The investigated sensor substrates were AlN, Si3N4 and a Low-Temperature-Cofired-Ceramic (LTCC). Two different assembly variants were chosen for the interconnection of the sensors: platinum thin wire bonding and gold micro bump interconnections. 3D FE-models of the sensor-assemblies, including temperature dependent materials properties were developed to analyze the distribution of mechanical stresses in the different assembly components. We measured the global chip-deformation at room temperature for verification of our FE-models. With combination of FE-simulations and metallographic device-cross-sections, cracks in the cavity sealing were identified as major failure mechanism of our sensors. According to the FE-simulations, devices assembled with our flip-chip method combined with LTCC-substrates showed an optimized performance regarding signal-shift and reliability. The sensor-signal drift after the assembly process was reduced from 27% to 3% for the optimized configuration.
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