Frequency Domain Uncertainty Modeling and Quantification of the Laser Metal Deposition Process
Additive Manufacturing (AM) is a growing class of manufacturing processes where parts are fabricated by repeated addition of material. Many of these processes show great promise for the production of complex, functional parts for use in critical applications. One such process, Laser Metal Deposition (LMD), uses a laser and a coaxial blown metal powder source to produce functional metal parts. However, it has been demonstrated that the LMD process possesses complex two-dimensional dynamics which, when not appropriately accounted for in the modeling and control stages, can lead to build failures. Additionally, even when the two-dimensionality of the process is accounted for, modeling and process uncertainties can lead to degraded performance or instability. Here, in the context of a control oriented model of the LMD process developed previously, process and modeling uncertainties are modeled and quantified in the frequency domain.
P. M. Sammons et al., "Frequency Domain Uncertainty Modeling and Quantification of the Laser Metal Deposition Process," Proceedings of the ASME 2016 Dynamic Systems and Control Conference (2016, Minneapolis, MN), vol. 2, American Society of Mechanical Engineers (ASME), Oct 2016.
The definitive version is available at https://doi.org/10.1115/DSCC2016-9777
ASME 2016 Dynamic Systems and Control Conference, DSCC2016 (2016: Oct. 12-14, Minneapolis, MN)
Mechanical and Aerospace Engineering
Intelligent Systems Center
Keywords and Phrases
Deposition; Engineering education; Frequency domain analysis; Manipulators; Manufacture; Metals; Motion planning; Multi agent systems; Networked control systems; Powder metals; Robot applications; Robot programming; Robustness (control systems); Traffic control; Uncertainty analysis; Vibrations (mechanical); Control oriented models; Critical applications; Degraded performance; Laser metal deposition; Manufacturing process; Modeling and control; Process uncertainties; Uncertainty modeling; Advanced vehicle control systems
International Standard Book Number (ISBN)
Article - Conference proceedings
© 2016 American Society of Mechanical Engineers (ASME), All rights reserved.
01 Oct 2016