Machine learning informed control systems for extrusion printing processes
US11931950B2 · kind B2 · utility
Assignee
Inventors
Key dates
| Filing date | Sep 5, 2019 |
| Grant date | Mar 19, 2024 |
| Priority date | — |
| Expiry date | Oct 21, 2042 |
Classification
- Technology area (CPC G)Physics
- CPC primaryG06V2201/06
- WIPO fieldComputer technology
- WIPO sectorElectrical engineering
Abstract
Systems and methods for controlling a material extrusion device to extrude a filament of an ink are provided. An extrusion printing control system collects from one or more sensors measurements representing an internal state of material extrusion processing during extrusion of the filament. In addition, the system collects an image of the filament as the filament is extruded. The system applies a classifier to the collected image to generate an image-derived state characterizing the filament. Based on the internal state and the image-derived state, the system estimates a derived state using a model. The system determines control parameters using the model to achieve a desired quality of the filament by minimizing a cost function based on the internal state, the image-derived state, the derived state, and constraints of the material extrusion device. Finally, the system provides the control parameters to a controller of the material extrusion device.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.