Real-time implementation of generalized predictive algorithm for direct metal deposition (DMD) process control
US9044827B2 · kind B2 · utility
Assignee
Inventors
Key dates
| Filing date | May 30, 2008 |
| Grant date | Jun 2, 2015 |
| Priority date | — |
| Expiry date | Apr 22, 2030 |
Classification
- Technology area (CPC B)Performing Operations; Transporting
- CPC primaryB23K26/123
- WIPO fieldMachine tools
- WIPO sectorMechanical engineering
Abstract
A direct metal deposition (DMD) process is stabilized by monitoring the temperature and the shape of the melt pool during deposition, applying a recursive least square (RLS) model estimation algorithm to adaptively identify process characteristics in accordance with the temperature and the shape of the melt pool, and delivering the process characteristics to a generalized predictive controller with input constraints to control the process. The process may be controlled by adjusting laser power or by adjusting the speed of the movement of the laser. In the preferred embodiment the temperature is monitored using a two-color pyrometer, and the shape of the melt pool is monitored by detecting the edge of the melt pool with a camera and/or photodetector.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.