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.

Meeting Name

ASME 2016 Dynamic Systems and Control Conference, DSCC2016 (2016: Oct. 12-14, Minneapolis, MN)


Mechanical and Aerospace Engineering

Research Center/Lab(s)

Intelligent Systems Center


This work is supported financially by both the National Science Foundation (CMMI1301414), and the US Department of Education through a GAANN Fellowship (P200A120062).

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)


Document Type

Article - Conference proceedings

Document Version


File Type





© 2016 American Society of Mechanical Engineers (ASME), All rights reserved.

Publication Date

01 Oct 2016