Invention Grant
- Patent Title: Methods and apparatus for machine learning predictions of manufacture processes
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Application No.: US18349350Application Date: 2023-07-10
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Publication No.: US12099341B2Publication Date: 2024-09-24
- Inventor: Valerie R. Coffman , Yuan Chen , Luke S. Hendrix , William J. Sankey , Joshua Ryan Smith , Daniel Wheeler
- Applicant: Xometry, Inc.
- Applicant Address: US MD Gaithersburg
- Assignee: XOMETRY, INC.
- Current Assignee: XOMETRY, INC.
- Current Assignee Address: US MD Gaithersburg
- Agency: BakerHostetler
- Main IPC: G05B19/4097
- IPC: G05B19/4097 ; G05B19/401 ; G06F30/00 ; G06N5/04 ; G06N20/00 ; G06N20/20

Abstract:
The subject technology is related to methods and apparatus for discretization and manufacturability analysis of computer assisted design models. In one embodiment, the subject technology implements a computer-based method for the reception of an electronic file with a digital model representative of a physical object. The computer-based method determines geometric and physical attributes from a discretized version of the digital model, a cloud point version of the digital model, and symbolic functions generated through evolutionary algorithms. A set of predictive machine learning models is utilized to infer predictions related to the manufacture process of the physical object.
Public/Granted literature
- US20230350380A1 METHODS AND APPARATUS FOR MACHINE LEARNING PREDICTIONS OF MANUFACTURE PROCESSES Public/Granted day:2023-11-02
Information query
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