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引用次数: 56

摘要

加速测试通常作为节省测试时间和成本的解决方案而被推广。然而,如果对加速测试模型的真正意义的无知盛行,那么这些测试可能导致对具有成本效益的产品开发工作的惩罚,而不是希望的减少。利用失效模型的物理学原理,本文强调:不存在能够简单、方便、准确地估计复杂装配件和产品寿命的“神奇”分析模型;每个分析模型描述了在特定环境载荷条件下与特定材料相关的物理变化机制;由于产品组件由许多不同的材料和结构配置组成,因此必须根据几种不同的,有时是相互竞争的物理变化模型来评估产品的磨损行为;在现实生活和加速测试中,产品的不同元素会以不同的速度老化或疲劳,这取决于它们是由什么组成的,它们是如何使用的,以及每个元素所在位置的环境负载条件。加速测试被假定为提高产品知识收集的速度以及节省测试时间和成本提供杠杆。然而,加速测试也会放大无效假设和定义不清的边界条件的负面影响;成功的加速测试依赖于确保所有相关方对产品开发工具能做什么和不能做什么有合理的期望,就像良好的实验室程序一样。
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A fundamental overview of accelerated-testing analytic models
Accelerated testing is often promoted as a solution to saving test time and costs. However, if ignorance about the true significance of accelerated test models prevails, then these tests could result in penalties to cost-effective product development efforts rather than the hoped-for reductions. Using physics of failure models, this paper emphasizes that: there are no "magic" analytical models that simply, conveniently, and accurately estimate the life of complex manufactured assemblies and products; each analytical model describes physical change mechanisms associated with specific materials when subjected to particular environmental loading conditions; because product assemblies consist of many different materials and structural configurations, a product's wearout behavior must be evaluated in terms of several different, sometimes competing, physical change models; in real-life and in accelerated testing, different elements of a product will age or fatigue at different rates, depending on what they are made of, how they are used, and what environmental loading conditions prevail at the site of each element; accelerated testing is assumed to provide leverage for increasing the rate at which knowledge is gathered about a product as well as saving test time and costs. However, accelerated testing can also magnify the negative effects of invalid assumptions and poorly defined boundary conditions; and successful accelerated testing relies on ensuring that all parties involved have reasonable expectations of what this product development tool can and cannot do just as much as on good laboratory procedures.
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