Product Code: ICAL06_1403

Sensing and Experimental Based Modeling of Direct Metal Deposition
Authors:
Jyoti Mazumder, University of Michigan; Ann Arbor MI USA
Lijun Song, University of Michigan; Ann Arbor MI USA
Presented at ICALEO 2006

This paper presents an experimental investigation on the process dynamics of direct metal deposition. An optical sensing system, including three couple charged device cameras and a two-color pyrometer, is used to monitor molten pool geometry and pool temperature during the deposition process. Molten pool area size and height are obtained by image processing. Auto regressive exogenous models and state space models are implemented to identify the direct metal deposition process relating laser power to molten pool temperature, as well as traverse speed to molten pool temperature. The models are validated by experimental data.