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A Novel Approach Towards Standardizing Surface Quality Inspection

机译:一种标准化表面质量检验的新方法

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Quality control of optical surfaces specified according to ISO 10110-7 and ISO 14997 today is mainly performed by visual inspection, despite the drawbacks common to all operator-dependent processes, such as a lack in reproducibility and accuracy. In this work we present a detailed validation study of the automated surface inspection system ARGOS, which is capable of classifying flats as well as curved optics. The study reveals that ARGOS detects imperfections as small as 1 μm, can accurately determine imperfection sizes larger than 4 μm, and has an average repeatability of around 1 μm.
机译:尽管所有操作员相关的过程缺点,但目前的缺点是目的,目前正在通过视觉检查,所指定的光学表面和ISO 14997的质量控制主要是通过缺点的缺点,例如缺乏再现性和准确性。在这项工作中,我们对自动化表面检验系统Argos提供了详细的验证研究,该研究能够对平面和弯曲光学分类进行分类。该研究表明,Argos检测到小于1μm的缺陷,可以准确地确定大于4μm的缺陷尺寸,并且平均重复性约为1μm。

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