Machine learning for additive manufacturing
US11354466B1 · kind B1 · utility
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11References
20Claims
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Key dates
| Filing date | Dec 23, 2021 |
| Grant date | Jun 7, 2022 |
| Priority date | — |
| Expiry date | Dec 23, 2041 |
Classification
- Technology area (CPC G)Physics
- CPC primaryG06N3/006
- 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.