- 专利标题: Systems, methods, and media for artificial intelligence process control in additive manufacturing
-
申请号: US17444619申请日: 2021-08-06
-
公开(公告)号: US11731368B2公开(公告)日: 2023-08-22
- 发明人: Vadim Pinskiy , Matthew C. Putman , Damas Limoge , Aswin Raghav Nirmaleswaran
- 申请人: Nanotronics Imaging, Inc.
- 申请人地址: US OH Cuyahoga Falls
- 专利权人: Nanotronics Imaging, Inc.
- 当前专利权人: Nanotronics Imaging, Inc.
- 当前专利权人地址: US OH Cuyahoga Falls
- 代理机构: DLA Piper LLP (US)
- 主分类号: B33Y50/02
- IPC分类号: B33Y50/02 ; B29C64/393 ; B29C64/209 ; B33Y10/00 ; G06N3/04 ; B22F12/90 ; B22F10/30 ; B22F10/85 ; G06F18/20 ; G06F18/2411 ; G06V10/764 ; G06V10/82 ; G06V10/98 ; B22F10/12 ; B22F10/18 ; B22F10/25 ; B22F10/28
摘要:
Systems, methods, and media for additive manufacturing are provided. In some embodiments, an additive manufacturing system comprises: a hardware processor that is configured to: receive a captured image; apply a trained failure classifier to a low-resolution version of the captured image; determine that a non-recoverable failure is not present in the printed layer of the object; generate a cropped version of the low-resolution version of the captured image; apply a trained binary error classifier to the cropped version of the low-resolution version of the captured image; determine that an error is present in the printed layer of the object; apply a trained extrusion classifier to the captured image, wherein the trained extrusion classifier generates an extrusion quality score; and adjust a value of a parameter of the print head based on the extrusion quality score to print a subsequent layer of the printed object.
公开/授权文献
信息查询