Invention Grant
- Patent Title: Machine learning simulation of finite element analysis in augmented reality
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Application No.: US17667258Application Date: 2022-02-08
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Publication No.: US11557078B1Publication Date: 2023-01-17
- Inventor: Derek Carl Scherer
- Applicant: Honeywell Federal Manufacturing & Technologies, LLC
- Applicant Address: US MO Kansas City
- Assignee: Honeywell Federal Manufacturing & Technologies, LLC
- Current Assignee: Honeywell Federal Manufacturing & Technologies, LLC
- Current Assignee Address: US MO Kansas City
- Agency: Erise IP, P.A.
- Main IPC: G06F30/23
- IPC: G06F30/23 ; G06T15/04 ; G06T19/00 ; G06F30/27 ; G06F3/01

Abstract:
Media, method and system for approximating a finite element analysis texture map for an object. To accomplish this, the object is converted to a computer generated model and finite element analysis is performed for a plurality of different simulated inputs to generate a plurality of simulated mappings. Each simulated mapping is converted into a simulated texture map. A machine learning model is trained on the simulated inputs and simulated texture maps to generate a texture map which approximates a finite element analysis. The machine learning model receives a user input and generates the texture map therefrom. The texture map is then wrapped to the object and displayed.
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