Sensing and Control in Glass Additive Manufacturing
Abstract
There has been tremendous interest in the Additive Manufacturing (AM) of polymers, metals, and ceramics leading to a wealth of research and development of these processes. By contrast, there has been little attention paid to AM processes for glass. This paper presents a custom-made glass additive machine. A CO2 laser is used to generate a molten pool of glass into which glass filaments are fed. A motion system is used to trace a layer, after which the build platform is lowered to fabricate the next layer. Two of the unique issues that must be addressed in the AM of glass are 1) various mechanisms can cause the formation of bubbles that deteriorate part optical and mechanical properties and 2) significant processing forces can move the melt pool away from its desired location. In this paper a melt pool temperature controller is designed to regulate the melt pool temperature at a constant value and a path and trajectory generation algorithm is constructed to maintain a constant glass filament feed direction relative to the scan velocity. The experimental results demonstrate that the melt pool temperature controller is able to avoid bubble formation over a wide range of build speeds and that the path planned directional-control is able to maintain good dimensional accuracy throughout closed contours. The capabilities of the AM for glass machine are demonstrated on a thin-walled, multi-layer star pattern and a spring in which the material is printed in freespace without the need for support structures.
Recommended Citation
D. Peters et al., "Sensing and Control in Glass Additive Manufacturing," Mechatronics, vol. 56, pp. 188 - 197, Elsevier, Dec 2018.
The definitive version is available at https://doi.org/10.1016/j.mechatronics.2018.06.002
Department(s)
Mechanical and Aerospace Engineering
Research Center/Lab(s)
Intelligent Systems Center
Keywords and Phrases
3D printers; Carbon dioxide lasers; Controllers; Glass; Industrial research; Laser applications; Motion planning; Temperature control; Thin walled structures; Constant values; Dimensional accuracy; Directional control; Melt pool temperature; Optical and mechanical properties; Research and development; Support structures; Trajectory generation algorithms; Process control; Additive manufacturing; Path planning
International Standard Serial Number (ISSN)
0957-4158
Document Type
Article - Journal
Document Version
Citation
File Type
text
Language(s)
English
Rights
© 2018 Elsevier, All rights reserved.
Publication Date
01 Dec 2018
Comments
This work was supported by the National Science Foundation(CMMI-1538464) and the Air Force Research Laboratory.