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Detection and identification of foreign bodies in polymer parts for use in semiconductor manufacturing

机译:检测和识别用于半导体制造的聚合物零件中的异物

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This paper presents an approach enabling localization and identification of foreign bodies in polymer materials applying a combined approach of x-ray imaging, imaging microscopy, optical coherence tomography and Raman imaging spectroscopy. The reliable detection of even small foreign bodies in polymer materials and parts designated for use in semiconductor manufacturing and processing machines is essential. Foreign bodies can in particular be metals, burnt particles of the polymer of the work piece, or intact or degenerated foreign polymers. In either case, all surfaces of e.g. a handling equipment that get in contact with the semiconductor material or process solutions have to be free of foreign bodies to ensure the integrity of the manufacturing process. Size, localization and material of the foreign body are main parameters that decide if a work piece has to be rejected. Current inspection systems may enable the localization of the foreign body, but are not capable of identifying the material and structure of the foreign body; many components with inclusions are therefore rejected as a precaution. This work aims towards the development of a combined sensor approach as part of an automatic quality assurance procedure which can be integrated in the fabrication process. X-ray imaging is used to identify metal foreign bodies. Imaging microscopy is used to detect foreign bodies on the surface of the polymer parts. Optical coherence tomography is used to measure the three-dimensional position and size of the foreign bodies. Raman imaging spectroscopy is used to identify the composition of the foreign bodies if they are located on the surface.
机译:本文提出了一种通过结合使用X射线成像,成像显微镜,光学相干断层扫描和拉曼成像光谱学的方法,能够对聚合物材料中的异物进行定位和识别的方法。必须可靠地检测指定用于半导体制造和加工机器的聚合物材料和零件中的小异物。异物尤其可以是金属,工件的聚合物的烧成的颗粒或完整的或退化的异物。在任何一种情况下,例如与半导体材料或工艺溶液接触的搬运设备必须没有异物,以确保制造过程的完整性。异物的大小,位置和材料是决定是否必须拒绝工件的主要参数。当前的检查系统可以实现异物的定位,但是不能识别异物的材料和结构。因此,为预防起见,许多含有夹杂物的组件均被拒绝。这项工作旨在开发一种组合式传感器方法,将其作为可以集成在制造过程中的自动质量保证程序的一部分。 X射线成像用于识别金属异物。成像显微镜用于检测聚合物零件表面上的异物。光学相干断层扫描用于测量异物的三维位置和大小。如果异物位于表面上,则使用拉曼成像光谱来识别异物的成分。

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