Intelligent additive manufacturing
US10769324B2 · kind B2 · utility
6Cited by
0References
18Claims
0Family size
Assignee
Inventors
Key dates
| Filing date | Nov 4, 2019 |
| Grant date | Sep 8, 2020 |
| Priority date | — |
| Expiry date | Nov 4, 2039 |
Classification
- Technology area (CPC G)Physics
- CPC primaryG06F2119/18
- WIPO fieldComputer technology
- WIPO sectorElectrical engineering
Abstract
An approach to intelligent additive manufacturing makes use of one or more of machine learning, feedback using machine vision, and determination of machine state. In some examples, a machine learning transformation receives data representing a partially fabricated object and a model of an additional part (e.g., layer) of the part, and produces a modified model that is provided to a printer. The machine learning predistorter can compensate for imperfections in the partially fabricated object as well as non-ideal characteristics of the printer, thereby achieving high accuracy.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.