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7 条记录 (耗时 0.017 秒)

    EXTENSION TOOL
    1.
    发明申请
    EXTENSION TOOL 有权

    公开(公告)号：US20220314430A1

    公开(公告)日：2022-10-06

    申请号：US17219577

    申请日：2021-03-31

    申请人： Oliver Crispin Robotics Limited ,  General Electric Company

    发明人： Andrew Crispin Graham ,  Tim Henri Ann Francois ,  Joanna Mechelle Jayawickrema ,  Wayne Ray Grady

    IPC分类号： B25J9/06 ,  B25J18/06 ,  B25J19/00 ,  B25J9/08 ,  B25J9/10

    摘要： Extension tools and methods of inserting extension tools within components are provided. For example, an extension tool has a proximal end and a distal end and comprises a plurality of sequentially arranged links moveable relative to one another and a support member defining the distal end and including a first wheel disposed at the distal end and a second wheel spaced apart from the first wheel. Additionally, or alternatively, an extension tool may comprise a plurality of windows defined in the plurality of sequentially arranged links. The windows are defined periodically along the plurality of sequentially arranged links such that a periodicity of the widows corresponds to a periodicity of a plurality of features of the component.

    Recoater automated monitoring systems and methods for additive manufacturing machines
    5.
    发明授权
    Recoater automated monitoring systems and methods for additive manufacturing machines 有权

    公开(公告)号：US11407179B2

    公开(公告)日：2022-08-09

    申请号：US16359031

    申请日：2019-03-20

    申请人： General Electric Company

    发明人： Joanna Mechelle Jayawickrema ,  Thomas Spears ,  Yousef Al-Kofahi ,  Ali Can

    IPC分类号： B29C64/393 ,  B29C64/153 ,  G06F30/00 ,  B33Y10/00 ,  B33Y50/02

    摘要： A system monitoring an additive manufacturing (AM) machine recoat operation includes an automatic defect recognition subsystem having a predictive model catalog each applicable to a product and to one recoat error indication having a domain dependent feature, the predicative models representative of a recoat error indication appearance at a pixel level of an image captured during recoat operations. The system includes an online monitoring subsystem having an image classifier unit that classifies recoat error indications at the pixel level based on predictive models selected on their metadata, a virtual depiction unit that creates a virtual depiction of an ongoing AM build from successive captured image, and a processor unit to monitor the build for recoat error indications, classify a detected indication, and provide a determination regarding the severity of the detected indication on the ongoing build. A method and a non-transitory computer-readable medium are also disclosed.