Invention Grant
- Patent Title: Methods and apparatus for machine learning predictions of manufacture processes
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Application No.: US16395940Application Date: 2019-04-26
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Publication No.: US10558195B2Publication Date: 2020-02-11
- Inventor: Valerie R. Coffman , Yuan Chen , Luke S. Hendrix , William J. Sankey , Joshua Ryan Smith , Daniel Wheeler
- Applicant: Xometry, Inc.
- Applicant Address: US MD Gaithersburn
- Assignee: XOMETRY, INC.
- Current Assignee: XOMETRY, INC.
- Current Assignee Address: US MD Gaithersburn
- Agency: Baker Hostetler LLP
- Main IPC: H01L47/00
- IPC: H01L47/00 ; G05B19/4097 ; G06N20/00 ; G05B19/401 ; G06F17/50 ; G06N5/04

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
- US20190271966A1 Methods and Apparatus For Machine Learning Predictions of Manufacture Processes Public/Granted day:2019-09-05
Information query
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