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Machine learning informed control systems for extrusion printing processes

Patent ·
OSTI ID:2541978
; ; ;
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.
Research Organization:
Lawrence Livermore National Laboratory (LLNL), Livermore, CA (United States)
Sponsoring Organization:
USDOE
DOE Contract Number:
AC52-07NA27344
Assignee:
Lawrence Livermore National Security, LLC (Ben Hur, CA)
Patent Number(s):
11,931,950
Application Number:
16/562,253
OSTI ID:
2541978
Country of Publication:
United States
Language:
English

References (3)

Build orientation optimization for additive manufacturing of functionally graded material objects journal January 2018
Dynamic thermomechanical modeling and simulation of the design of rapid free-form 3D printing processes with evolutionary machine learning journal April 2018
A Layer-To-Layer Model and Feedback Control of Ink-Jet 3-D Printing journal June 2015

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