Product Code: ICAL07_1504

Predictive Control for Direct Metal Deposition
Authors:
Lijun Song, CLAIM, University of Michigan; Ann Arbor MI USA
Jyoti Mazumder, CLAIM, University of Michigan; Ann Arbor MI USA
Presented at ICALEO 2007

Direct metal deposition plays an important role in rapid manufacturing geometrically complicated, dense, near net shape components. A large number of parameters are involved in the deposition process. Its present development stagnates in its control. A good understanding of the laser material processing and a well designed controlling system are essential for the system reliability. This paper addresses the development of a linear model based generalized predictive control system for direct metal deposition. The molten pool temperature during direct mental deposition process is monitored by a two color pyrometer. A single-input single-output linear system relating the molten pool temperature to the laser power is considered. The incremental generalized predictive control algorithm with Kalman filter estimation is used to control the molten pool temperature. The performance of the controller is compared with the on-off controller.