REAL-TIME IMPLEMENTATION OF GENERALIZED PREDICTIVE ALGORITHM FOR DIRECT METAL DEPOSITION (DMD) PROCESS CONTROL

• US 20080296270A1
• Filed: 05/30/2008
• Published: 12/04/2008
• Est. Priority Date: 05/31/2007
• Status: Active Grant

• Current Assignee: DM3D Technology, LLC
• Original Assignee: The POM Group
• Inventors: Mazumder, Jyoti, Song, Lijun
• Granted Patent: US 9,044,827 B2
• Time in Patent Office: Days
• US Class Current: 219/121.63
• CPC Class Codes: B23K 26/03 Observing, e.g. monitoring, the workpiece
• CPC Class Codes: B23K 26/032 using optical means
• CPC Class Codes: B23K 26/034 Observing the temperature of the workpiece
• CPC Class Codes: B23K 26/0344 Observing the speed of the workpiece
• CPC Class Codes: B23K 26/123 in an atmosphere of particular gases
• CPC Class Codes: B23K 26/144 the fluid stream containing particles, e.g. powder

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.

Claims

1. A method of stabilizing a direct metal deposition (DMD) process of the type wherein a powder is fed into a laser-generated melt pool, comprising the steps of:

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;

delivering the process characteristics to a generalized predictive controller with input constraints to control the process.

2. The method of claim 1, wherein the process is controlled by adjusting laser power.

3. The method of claim 1, wherein the process is controlled by adjusting the speed of the movement of the laser.

4. The method of claim 1, wherein the temperature is monitored using a two-color pyrometer.

5. The method of claim 1, wherein the shape of the melt pool is monitored by detecting the edge of the melt pool.

6. A system for stabilizing a direct metal deposition (DMD) process of the type wherein a powder is fed into a laser-generated melt pool, comprising:

a device for monitoring the temperature of the melt pool during deposition;

a device for monitoring the shape of the melt pool during deposition;

a processor using 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

a generalized predictive controller with input constraints to control the process based upon the characteristics.

7. The system of claim 6, wherein the process is controlled by adjusting laser power.

8. The system of claim 6, wherein the process is controlled by adjusting the speed of the movement of the laser.

9. The system of claim 6, wherein the temperature is monitored using a two-color pyrometer.

10. The system of claim 6, wherein the shape of the melt pool is monitored by detecting the edge of the melt pool.