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Determining Functional Reliability of Pyrotechnic Mechanical Devices

机译:确定烟火机械设备的功能可靠性

摘要

This paper describes a new approach for evaluating mechanical performance and predicting the mechanical functional reliability of pyrotechnic devices. Not included are other possible failure modes, such as the initiation of the pyrotechnic energy source. The requirement of hundreds or thousands of consecutive, successful tests on identical components for reliability predictions, using the generally accepted go/no-go statistical approach routinely ignores physics of failure. The approach described in this paper begins with measuring, understanding and controlling mechanical performance variables. Then, the energy required to accomplish the function is compared to that delivered by the pyrotechnic energy source to determine mechanical functional margin. Finally, the data collected in establishing functional margin is analyzed to predict mechanical functional reliability, using small-sample statistics. A careful application of this approach can provide considerable cost improvements and understanding over that of go/no-go statistics. Performance and the effects of variables can be defined, and reliability predictions can be made by evaluating 20 or fewer units. The application of this approach to a pin puller used on a successful NASA mission is provided as an example.
机译:本文介绍了一种评估烟火装置机械性能和预测其机械功能可靠性的新方法。不包括其他可能的故障模式,例如烟火能源的启动。使用公认的“通过/不通过”统计方法,对相同组件进行成百上千次连续成功测试以进行可靠性预测的要求通常会忽略故障的物理原理。本文描述的方法始于测量,理解和控制机械性能变量。然后,将完成功能所需的能量与烟火能源提供的能量进行比较,以确定机械功能裕度。最后,使用小样本统计数据分析建立功能裕量时收集的数据,以预测机械功能可靠性。仔细应用此方法可以大大提高成本,并能了解通过/不通过统计信息的成本。可以定义性能和变量的影响,并且可以通过评估20个或更少的单位来进行可靠性预测。作为示例,提供了将这种方法应用于成功完成NASA任务的拔钉器的应用。

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