Abstract
Laser Metal Deposition (LMD) is an additive manufacturing process in which material is deposited by blowing powdered metal into a melt pool formed by a laser beam. When fabricating parts, the substrate is subjected to motion control such that the melt pool traces a prescribed path to form each part layer. Advantages of LMD include relatively efficient powder usage, the ability to create functionally-graded parts and the ability to repair high-value parts. The process, however, is sensitive to variations in process parameters and a need for feedback measurements and closed-loop control has been recognized in the literature [1, 2]. To this end, a laser line scanner is being integrated into an LMD system at the Missouri University of Science and Technology. Measurements from the laser line scanner will provide the feedback data necessary for closed-loop control of the process. The work presented here considers characteristics of the laser line scanner as it relates to scanning LMD depositions. Errors associated with the measurement device are described along with digital processing operations designed to remove them. The parameter bead height is extracted from scans for future use in a closed-loop control strategy.
Recommended Citation
M. L. Gegel et al., "Laser Line Scan Characterization of Geometric Profiles in Laser Metal Deposition," Proceedings of the 27th Annual International Solid Freeform Fabrication Symposium (2016, Austin, TX), pp. 1103 - 1111, University of Texas at Austin, Aug 2016.
Meeting Name
27th Annual International Solid Freeform Fabrication Symposium -- An Additive Manufacturing Conference (2016: Aug. 8-10, Austin, TX)
Department(s)
Mechanical and Aerospace Engineering
Research Center/Lab(s)
Intelligent Systems Center
Document Type
Article - Conference proceedings
Document Version
Final Version
File Type
text
Language(s)
English
Publication Date
10 Aug 2016
Comments
This project receives funding through GAANN (P200A150309) and NSF (CMMI 1301414), as well as the Center for Aerospace Manufacturing Technologies and the Chancellor’s Distinguished Fellowship at the Missouri University of Science and Technology.