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公开(公告)号:EP4298562A1
公开(公告)日:2024-01-03
申请号:EP22760501.1
申请日:2022-02-25
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公开(公告)号:EP3948458A1
公开(公告)日:2022-02-09
申请号:EP20832713.0
申请日:2020-06-23
IPC分类号: G05B19/418 , G05B13/02
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3.
公开(公告)号:EP4230385A1
公开(公告)日:2023-08-23
申请号:EP23177462.1
申请日:2019-03-29
发明人: PUTMAN, Matthew C. , PINSKIY, Vadim , WILLIAMS, James , LIMOGE, Damas , NIRMALESWARAN, Aswin Raghav , CHRIS, Mario
IPC分类号: B29C64/393 , B29C64/106 , B33Y10/00 , B33Y30/00 , B33Y50/02 , B22F10/85 , B22F12/90 , G06N20/00 , G06N3/04 , G06N3/08 , G06N7/00 , G06N20/10 , B22F10/10 , B22F10/20 , G01B11/24 , G01N21/88 , G01N21/84 , G06N3/088 , G06V10/764 , G06V20/64
摘要: An additive manufacturing system (100) comprises a print head (140) to print an object layer by layer, an illumination source (130) for illuminating a printed layer of the object and an image sensor (120) configured to capture an image of the printed layer. The system further comprises at least one hardware processor (110,160) configured to: receive a captured image, obtain one or more desired mechanical properties for the object, generate a three-dimensional topographical image of the printed layer, identify an anomaly using an A1 algorithm, determine a correlation between the identified anomaly and one/more print parameters using a second A1 algorithm, adjust a value for the one or more print parameters to be used by the print head to print a subsequent layer, and cause the print head (140) to print the subsequent layer using the value for the one or more print parameters to substantially achieve the one or more desired mechanical properties,
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公开(公告)号:EP4161247A1
公开(公告)日:2023-04-12
申请号:EP21816945.6
申请日:2021-06-03
发明人: LIMOGE, Damas , PINSKIY, Vadim , MUSSELMAN, Parker
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公开(公告)号:EP4399534A1
公开(公告)日:2024-07-17
申请号:EP22867919.7
申请日:2022-08-31
IPC分类号: G01R31/3177 , H01P5/16 , H03M1/10
CPC分类号: H03M1/1009 , H03M1/12
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公开(公告)号:EP4168941A1
公开(公告)日:2023-04-26
申请号:EP21825727.7
申请日:2021-06-18
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公开(公告)号:EP4042340A1
公开(公告)日:2022-08-17
申请号:EP20874557.0
申请日:2020-09-23
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公开(公告)号:EP3839782A1
公开(公告)日:2021-06-23
申请号:EP20156940.7
申请日:2020-02-12
发明人: PUTMAN, Matthew C. , PUTMAN, John B. , PINSKIY, Vadim , LIMOGE, Damas , SUNDSTROM, Andrew , WILLIAMS III, James
摘要: A system including a deep learning processor obtains response data of at least two data types from a set of process stations performing operations as part of a manufacturing process. The system analyzes factory operation and control data to generate expected behavioral pattern data. Further, the system uses the response data to generate actual behavior pattern data for the process stations. Based on an analysis of the actual behavior pattern data in relation to the expected behavioral pattern data, the system determines whether anomalous activity has occurred as a result of the manufacturing process. If it is determined that anomalous activity has occurred, the system provides an indication of this anomalous activity.
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公开(公告)号:EP4371059A1
公开(公告)日:2024-05-22
申请号:EP22842881.9
申请日:2022-07-14
CPC分类号: G06T5/50 , G06T2207/2022120130101 , G02B21/0016 , G01N21/8851 , G01N21/9501 , G01N2021/888720130101 , G02B21/367
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公开(公告)号:EP4055454A1
公开(公告)日:2022-09-14
申请号:EP20885424.0
申请日:2020-11-06
IPC分类号: G05B19/418 , G05B19/19 , G05B19/406 , G06N20/20 , G06Q10/06
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