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EVALUATION OF CONTAMINATION INSPECTION AND ANALYSIS METHODS THROUGH MODELING SYSTEM PERFORMANCE

机译:通过建模系统性能评估污染检查和分析方法

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Contamination is usually identified as a risk on the risk register for sensitive space systems hardware. Despite detailed, time-consuming, and costly contamination control efforts during assembly, integration, and test of space systems, contaminants are still found during visual inspections of hardware. Improved methods are needed to gather information during systems integration to catch potential contamination issues earlier and manage contamination risks better. This research explores evaluation of contamination inspection and analysis methods to determine optical system sensitivity to minimum detectable molecular contamination levels based on IEST-STD-CC1246E non-volatile residue (NVR) cleanliness levels. Potential future degradation of the system is modeled given chosen modules representative of optical elements in an optical system, minimum detectable molecular contamination levels for a chosen inspection and analysis method, and determining the effect of contamination on the system. By modeling system performance based on when molecular contamination is detected during systems integration and at what cleanliness level, the decision maker can perform trades amongst different inspection and analysis methods and determine if a planned method is adequate to meet system requirements and manage contamination risk.
机译:污染通常被识别为敏感空间系统硬件的风险登记册的风险。尽管在装配,集成和测试空间系统的集成和测试期间,虽然细致,耗时和昂贵的污染控制努力,但在硬件的目视检查期间仍然存在污染物。需要改进的方法来收集在系统集成期间的信息,以提高潜在的污染问题,并更好地管理污染风险。本研究探讨了污染检测和分析方法的评价,以确定基于IEST-STD-CC1246E非挥发性残余物(NVR)清洁水平的最小可检测分子污染水平的光学系统敏感性。在光学系统中代表光学元件的选择模块的潜在未来的劣化是给定的,所以选择的检查和分析方法的最小可检测分子污染水平,并确定污染对系统的影响。通过基于系统集成期间检测到分子污染的系统性能建模,决策者可以在不同的检查和分析方法中进行交易,并确定计划的方法是否足以满足系统要求并管理污染风险。

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