- 专利标题: Object design using machine-learning model
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申请号: US16287599申请日: 2019-02-27
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公开(公告)号: US11256231B2公开(公告)日: 2022-02-22
- 发明人: Phillip John Crothers , Carla Elizabeth Reynolds , Alexander Rubin , Samuel J. Tucker , Gregg Robert Bogucki , Joshua David Kalin
- 申请人: THE BOEING COMPANY
- 申请人地址: US IL Chicago
- 专利权人: THE BOEING COMPANY
- 当前专利权人: THE BOEING COMPANY
- 当前专利权人地址: US IL Chicago
- 主分类号: G05B19/4099
- IPC分类号: G05B19/4099 ; B33Y50/02 ; G06F30/15 ; B29C70/38 ; G05B13/02 ; G06F119/18
摘要:
A system to aid in design for manufacturing an object includes a processor and a memory configured to store instructions. The processor is configured to receive first data representing a design of the object to be manufactured and second data representing a machine-learning model. The processor is configured to execute the instructions to generate third data using the first data and the second data. The third data indicates at least one of a modification to the design of the object or process conditions for production of the object. The processor is configured to send the design of the object, the process conditions, or both, to a manufacturing tool to enable production of the object. The machine-learning model is representative of production data and based at least partially on one or more of: object features, process parameters, environmental factors, and quality data.
公开/授权文献
- US20200272129A1 OBJECT DESIGN USING MACHINE-LEARNING MODEL 公开/授权日:2020-08-27
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