Invention Grant
- Patent Title: Convolutional neural network evaluation of additive manufacturing images, and additive manufacturing system based thereon
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Application No.: US16955334Application Date: 2018-12-15
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Publication No.: US11112771B2Publication Date: 2021-09-07
- Inventor: Paul Guerrier , George Baggs
- Applicant: MOOG INC.
- Applicant Address: US NY Elma
- Assignee: MOOG INC.
- Current Assignee: MOOG INC.
- Current Assignee Address: US NY Elma
- Agency: Hodgson Russ LLP
- International Application: PCT/US2018/065880 WO 20181215
- International Announcement: WO2019/125970 WO 20190627
- Main IPC: G05B19/4099
- IPC: G05B19/4099 ; B33Y30/00 ; B33Y50/02 ; B29C64/393 ; G06N20/00

Abstract:
An additive manufacturing system uses a trained artificial intelligence module as part of a closed-loop control structure for adjusting the initial set of build parameters in-process to improve part quality. The closed-loop control structure includes a slow control loop taking into account in-process build layer images, and may include fast control loop taking into account melt pool monitoring data. The artificial intelligence module is trained using outputs from a plurality of convolutional neural networks (CNNs) tasked with evaluating build layer images captured in-process and images of finished parts captured post-process. The post process images may include two-dimensional images of sectioned finished parts and three-dimensional CAT scan images of finished parts.
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Information query
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