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Characterizing Global Temperature and Humidity Environmental Severity with Relation to Published Standards

机译:与已发布的标准相关的全球温度和湿度环境严重性特征分析

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Severe yet common product environmental tests are 1000 hours at 85°C/85%RH or 95°C/95%RH for products, circuit card assemblies and electronic components. Such environments never occur naturally, however they attempt to simulate the corrosion damage that could be expected in service. To what natural environment do these tests correlate? Further, how do tests based upon Mil-Hdbk-310, Mil-Std-810 and STANAG 2895 B3 daily environments compare to these standard test environments? The analysis employs the physics-of-failure Peck power law temperature-humidity model with common conservative values for the Arrhenius activation energy and the relative humidity exponent, based on aluminum corrosion, coupled with climatological data from 49 United States weather stations and 19 international locations. The monthly average temperature and humidity extremes were transformed into an hourly diurnal cycle assumed to occur every day of each month. Using the power law model the equivalent time at the test condition was calculated for each day, and summed for each month and location. The 85°C/85%RH test can be correlated with about 10 years in a hot and moist natural environment, such as Singapore, with 1000 hours of 95°C/95%RH exposure equivalent to 25 years. Long term tests based upon the worst case diurnal temperature and humidity cycles in military standards are on the order of 1 in 1,000,000 probability of occurrence in nature.
机译:严格而又常见的产品环境测试是在85°C / 85 \%RH或95°C / 95 \%RH的环境下对产品,电路卡组件和电子元件进行1000小时的测试。这样的环境永远不会自然发生,但是它们试图模拟在使用中可能预期的腐蚀破坏。这些测试与什么自然环境相关?此外,基于Mil-Hdbk-310,Mil-Std-810和STANAG 2895 B3日常环境的测试与这些标准测试环境相比如何?该分析采用基于铝腐蚀的失效物理Peck幂律温度-湿度模型,该模型具有基于铝腐蚀的Arrhenius活化能和相对湿度指数的共同保守值,并结合了来自49个美国气象站和19个国际位置的气候数据。将每月的平均温度和湿度极端值转换为假设每月的每一天发生的每小时昼夜周期。使用幂定律模型,每天计算出测试条件下的等效时间,并针对每个月和每个位置求和。在炎热潮湿的自然环境(例如新加坡)中,85°C / 85 \%RH的测试可以与大约10年相关,而95°C / 95 \%RH的暴露1000小时相当于25年。根据军事标准中最恶劣的昼夜温度和湿度循环进行的长期测试,自然界中发生概率为百万分之一。

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