Skip to main content
U.S. Department of Energy
Office of Scientific and Technical Information

Real-Time Process Modeling & Control of Direct Ink Write 3D Printing using Computer Vision and Machine Learning.

Conference ·
DOI:https://doi.org/10.2172/2004311· OSTI ID:2004311

Abstract not provided.

Research Organization:
Sandia National Laboratories (SNL-NM), Albuquerque, NM (United States)
Sponsoring Organization:
USDOE National Nuclear Security Administration (NNSA)
DOE Contract Number:
NA0003525
OSTI ID:
2004311
Report Number(s):
SAND2022-10834C; 708988
Country of Publication:
United States
Language:
English

Similar Records

Simulation of the direct ink write process using finite elements and cThruAMR.
Conference · Sun May 01 00:00:00 EDT 2022 · OSTI ID:2003411

Real-Time Process Monitoring of Additively Manufactured Components Using Computer Vision & Artificial Intelligence.
Conference · Fri Apr 01 00:00:00 EDT 2022 · OSTI ID:2002520

Sintering Kinetics in Direct Ink Write Processes.
Conference · Tue Aug 01 00:00:00 EDT 2017 · OSTI ID:1465918

Related Subjects