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芯片互联结构断裂失效的试验研究与统计分析
引用本文:陈垚君,景博,胡家兴,盛增津,张钰林.芯片互联结构断裂失效的试验研究与统计分析[J].北京航空航天大学学报,2019,45(2):381-387.
作者姓名:陈垚君  景博  胡家兴  盛增津  张钰林
作者单位:空军工程大学 航空工程学院,西安,710038;空军工程大学 航空工程学院,西安,710038;空军工程大学 航空工程学院,西安,710038;空军工程大学 航空工程学院,西安,710038;空军工程大学 航空工程学院,西安,710038
基金项目:“十三五”装备预研共用技术(41402010102)
摘    要:针对电子芯片互联结构失效机理复杂、寿命数据难以获取且缺乏具有理论依据支撑的寿命分布模型等问题,开展了基于退化试验数据的统计分析研究,并提出了2种统计建模方法。首先,搭建了电子芯片可靠性评估试验台,利用菊花链测试芯片为试验对象获取了互联结构的退化数据和寿命数据;其次,基于断裂力学理论,分析了互联结构断裂失效的失效机理,给出了BGA封装形式的电子芯片互联结构寿命分布服从两参数威布尔分布的理论依据,由此建立了基于寿命数据的电子芯片互联结构寿命分布模型;再次,利用退化量的分布建立了基于退化量数据的电子芯片互联结构寿命分布模型;最后,对2种统计建模方法进行比较分析。结果表明,基于退化量数据的寿命分布模型与基于寿命数据的寿命分布模型吻合度良好,2种分析方法在结果上具有一致性。 

关 键 词:互联结构  威布尔分布  退化量分布  随机振动  故障预测与健康管理
收稿时间:2018-06-01

Experimental research and statistical analysis of fracture failure for interconnected structures in electronic chips
CHEN Yaojun,JING Bo,HU Jiaxing,SHENG Zengjin,ZHANG Yulin.Experimental research and statistical analysis of fracture failure for interconnected structures in electronic chips[J].Journal of Beijing University of Aeronautics and Astronautics,2019,45(2):381-387.
Authors:CHEN Yaojun  JING Bo  HU Jiaxing  SHENG Zengjin  ZHANG Yulin
Institution:School of Aeronautic Engineering, Airforce Engineering University, Xi'an 710038, China
Abstract:Aimed at the problems of complex failure mechanism of interconnected structures in electronic chips, difficulty in obtaining lifetime data, and lack of a theoretically supported life distribution model, a statistical analysis based on degraded experimental data was conducted. First, an electronic chip reliability evaluation testbed is built, and the daisy-chain test chip is used as the test object. Degradation data and lifetime data of interconnected structures are acquired. Then, based on the theory of fracture mechanics, The failure mechanism of interconnection structure is analyzed. The theoretical basis of the two-parameter Weibull distribution of the life distribution of the interconnection structure of electronic chips in BGA package is given. The life distribution model of the interconnection structure of electronic chips based on the life data is established. Next, using the distribution of degradation, a lifetime distribution model of the interconnected structures in electronic chips is established. Finally, the two statistical modeling methods are compared. The results show that the lifetime distribution model based on degradation data is in good agreement with that based on lifetime data.
Keywords:interconnected structures  Weibull distribution  distribution of degradation data  random vibration  failure prediction and health management
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