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Additional Algorithms for Sensor Chip Alignment to Blind Datums

机译:传感器芯片对准盲基准的其他算法

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Alignment of the sensor focal plane array (FPA) to optical components is a critical design feature. Imaging system designs include reference datums that provide the basis for manufacturing alignment in each sub-assembly. Measurement of z and parallelism positioning can be problematic, since the relevant datum features are often beneath the mounting platform and are obscured to the measurement system. General algorithms for determining sensor chip alignment when datum features are inaccessible to the measurement system have been developed. Pre-characterization measurements of datum surfaces are stored for later use during alignment measurement to determine datum locations. The algorithms are useful for post-mounting alignment measurement, and can also be used for active manufacturing alignment. This paper presents additional algorithms that are useful for active alignment, including methods for determining rotation axes on the aligner-bonder system and for determining actuator motions to bring the FPA into alignment with datums. The algorithms have been successfully implemented for ultra-precision, active manufacturing alignment and post-alignment measurement of infrared imaging systems.
机译:传感器焦平面阵列(FPA)与光学组件的对准是一项关键的设计功能。成像系统设计包括参考数据,这些参考数据为每个子组件中的制造对齐提供了基础。 z和平行度定位的测量可能会出现问题,因为相关的基准特征通常位于安装平台下方,并被测量系统遮挡。已经开发出用于当测量系统无法访问基准特征时确定传感器芯片对齐的通用算法。存储基准面的特征化前测量,以供以后在对齐测量中使用以确定基准位置。该算法可用于安装后对准测量,也可用于主动制造对准。本文提出了对主动对准有用的其他算法,包括确定对准器-粘合剂系统上的旋转轴以及确定致动器运动以使FPA与基准对准的方法。该算法已成功实施,用于红外成像系统的超精密,主动制造对准和对准后测量。

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