Machine learning for additive manufacturing
US11625515B2 · kind B2 · utility
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20Claims
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Key dates
| Filing date | May 6, 2022 |
| Grant date | Apr 11, 2023 |
| Priority date | — |
| Expiry date | May 6, 2042 |
Classification
- Technology area (CPC —)General
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.
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