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dc.contributor.authorLu, Kuan
dc.contributor.authorWang, Zhikun
dc.contributor.authorChun, Heebum
dc.contributor.authorLee, ChaBum
dc.date.accessioned2024-12-24T19:10:59Z
dc.date.available2024-12-24T19:10:59Z
dc.date.copyright6/10/2024 12:00:00 AM
dc.date.issued2024
dc.identifier.issn1087-1357
dc.identifier.othermanu_146_7_070908.pdf
dc.identifier.urihttp://yetl.yabesh.ir/yetl1/handle/yetl/4303444
dc.description.abstractThis paper introduces a novel wafer-edge quality inspection method based on analysis of curved-edge diffractive fringe patterns, which occur when light is incident and diffracts around the wafer edge. The proposed method aims to identify various defect modes at the wafer edges, including particles, chipping, scratches, thin-film deposition, and hybrid defect cases. The diffraction patterns formed behind the wafer edge are influenced by various factors, including the edge geometry, topography, and the presence of defects. In this study, edge diffractive fringe patterns were obtained from two approaches: (1) a single photodiode collected curved-edge interferometric fringe patterns by scanning the wafer edge and (2) an imaging device coupled with an objective lens captured the fringe image. The first approach allowed the wafer apex characterization, while the second approach enabled simultaneous localization and characterization of wafer quality along two bevels and apex directions. The collected fringe patterns were analyzed by both statistical feature extraction and wavelet transform; corresponding features were also evaluated through logarithm approximation. In sum, both proposed wafer-edge inspection methods can effectively characterize various wafer-edge defect modes. Their potential lies in their applicability to online wafer metrology and inspection applications, thereby contributing to the advancement of wafer manufacturing processes.
dc.publisherThe American Society of Mechanical Engineers (ASME)
dc.titleWafer Edge Metrology and Inspection Technique Using Curved-Edge Diffractive Fringe Pattern Analysis
dc.typeJournal Paper
dc.journal.volume146
dc.journal.issue7
dc.journal.titleJournal of Manufacturing Science and Engineering
dc.identifier.doi10.1115/1.4065639
dc.journal.fristpage70908-1
dc.journal.lastpage70908-9
dc.page9
dc.treeJournal of Manufacturing Science and Engineering:;2024:;volume( 146 ):;issue: 007
dc.contenttypeFulltext


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