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Identification of critical stress location on PCBs taking into account the influence of fixations and housing

机译:考虑到固定装置和外壳的影响,确定PCB上的关键应力位置

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High performance components are being built-in critical infrastructures (like computers for autonomous drive) that requires functional safety for an extended lifetime (15 years for automotive or even 30 for trains). In that extend, reliability testing of complete system boards is necessary, but the temperature ranges which yesterday were defining an accelerated test (temperature ranging from -40deg C to 150deg C) are today merrily covering the operative temperature of those new systems! Actual Automotive standards describe testing methodologies with extended temperature based on a pass/fail principle applied to each electronic components. However, those assumptions are not consistent when the system is assembled into its housing: as the CTE of the system board and the housing are usually different, a thermal mismatch can be observed during operation. Testing 'free-standing' boards, cycling into an oven, is not picturing all the stresses applied to the system. It has been observed that cycling complete systems (Board + housing) leads to earlier failure of the system than observed when testing the board alone, the failure location may also be different [1]. Fixation screws and housing are playing a large role in the temperature and stress distribution over the board, potentially having a dominant contribution on the lifetime of the overall system. The board being usually attached into a case one can assume that the stress distribution will be different as the one observe during thermal test. In order to picture the stresses induced in such a complete system, Fraunhofer ENAS(exp (1)) is collaborating with FRT(exp (2)) and CWM(exp (3)) to define new characterization methodology combining a high resolution white light interferometer for out of plan measurements (warpage) and image correlation techniques for in-plane deformation. These two sensors attached to a high stiffness frame and combines with a newly designed, high volume, temperature chamber, allow for accurate measurement of complete systems including housing and fixation within a broad temperature range. Previous studies looked into this out-of-plane deformation problematic, but as they focus mainly on the warpage they could not account for all critical failures. In this attempt to address all observed failures, additional software tools were developed to allow the determination of derived quantities like strains, local curvatures and local warpage radius. This paper describe our approach for predicting critical locations on a system board taking into account external constrains and investigate the reason for earlier failure of the mounted system in comparison to the free standing boards. The reason of this early failure can be seen as a time dependent temperature mismatch due to the different thermal conductivities and heat capacities of the PCB and the cast aluminum housing. Finally, the method described in this paper has been found suitable to predict critical locations on a PCB taking into account the effect of screws, fixations, plugs and cables potentially constraining the system into its housing. We see potential for using this measurement of the local curvature to evaluate the local risk for sensitive components and give a feedback loop to designers even before their layout is finalise and the first costly prototype is produced.
机译:高性能组件被内置在关键的基础架构中(例如用于自动驾驶的计算机),这些功能要求功能安全性以延长使用寿命(汽车为15年,火车为30年)。在此范围内,必须对整个系统板进行可靠性测试,但是昨天定义为加速测试的温度范围(温度范围从-40℃到150℃)今天已经很有趣地涵盖了这些新系统的工作温度!实际的汽车标准基于应用于每个电子组件的通过/失败原理,描述了扩展温度下的测试方法。但是,当系统组装到其外壳中时,这些假设并不一致:由于系统板和外壳的CTE通常不同,因此在运行过程中会观察到热失配。测试“独立式”电路板,然后循环进入烤箱​​,并不能说明施加在系统上的所有压力。已经观察到,与单独测试板相比,完整的系统(板+外壳)循环导致的系统故障更早,故障位置也可能不同[1]。固定螺钉和外壳在板上的温度和应力分布中起着很大的作用,可能对整个系统的寿命起主要作用。通常将板连接到外壳中时,可以假设应力分布将与热测试期间观察到的应力分布不同。为了描绘在这样一个完整的系统中引起的应力,弗劳恩霍夫ENAS(exp(1))与FRT(exp(2))和CWM(exp(3))共同定义了结合高分辨率白光的新表征方法用于计划外测量(翘曲)的干涉仪和用于平面内变形的图像相关技术。这两个传感器安装在高刚度框架上,并与新设计的大容量温度腔室结合在一起,可在整个温度范围内精确测量整个系统,包括外壳和固定装置。先前的研究探讨了这种平面外变形问题,但由于它们主要关注翘曲,因此无法解决所有关键性故障。在解决所有观察到的故障的尝试中,开发了其他软件工具以允许确定派生量,例如应变,局部曲率和局部翘曲半径。本文介绍了我们在考虑到外部约束的情况下预测系统板上关键位置的方法,并研究了与独立板相比,已安装系统较早出现故障的原因。由于PCB和铸铝外壳的热导率和热容量不同,这种早期故障的原因可以视为与时间有关的温度失配。最后,考虑到螺丝,固定件,插头和电缆的影响,发现本文所述的方法适合预测PCB上的关键位置,这可能会将系统限制在其外壳内。我们看到了使用这种局部曲率测量来评估敏感组件的局部风险的潜力,甚至在最终确定布局并生产出第一个昂贵的原型之前,也可以向设计人员提供反馈回路。

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