Heat input regulation is crucial for deposition quality in laser metal deposition (LMD) processes. To control the heat input, melt pool temperature is regulated using temperature controllers. Part I of this paper showed that, although online melt pool temperature control performs well in terms of tracking the temperature reference, it cannot guarantee consistent track morphology. Therefore, a new methodology, known as layer-to-layer temperature control, is proposed in this paper. The idea of layer-to-layer temperature control is to adjust the laser power profile between layers. The part height profile is measured between layers, and the temperature is measured online. The data are then utilized to identify the parameters of a LMD process model using particle swarm optimization. The laser power profile is then computed using iterative learning control, based on the estimated process model and the reference melt pool temperature of the next layer. The deposition results show that the layer-to-layer temperature controller is capable of not only tracking the reference temperature, but also producing a consistent track morphology.
Skip Nav Destination
e-mail: ltx8d@mst.edu
e-mail: landersr@mst.edu
Article navigation
February 2010
Research Papers
Melt Pool Temperature Control for Laser Metal Deposition Processes—Part II: Layer-to-Layer Temperature Control
Lie Tang,
Lie Tang
Department of Mechanical and Aerospace Engineering,
e-mail: ltx8d@mst.edu
Missouri University of Science and Technology
, Rolla, MO 65401-0050
Search for other works by this author on:
Robert G. Landers
Robert G. Landers
Department of Mechanical and Aerospace Engineering,
e-mail: landersr@mst.edu
Missouri University of Science and Technology
, Rolla, MO 65401-0050
Search for other works by this author on:
Lie Tang
Department of Mechanical and Aerospace Engineering,
Missouri University of Science and Technology
, Rolla, MO 65401-0050e-mail: ltx8d@mst.edu
Robert G. Landers
Department of Mechanical and Aerospace Engineering,
Missouri University of Science and Technology
, Rolla, MO 65401-0050e-mail: landersr@mst.edu
J. Manuf. Sci. Eng. Feb 2010, 132(1): 011011 (9 pages)
Published Online: January 21, 2010
Article history
Received:
August 7, 2009
Revised:
December 17, 2009
Online:
January 21, 2010
Published:
January 21, 2010
Connected Content
A companion article has been published:
Melt Pool Temperature Control for Laser Metal Deposition Processes—Part I: Online Temperature Control
Citation
Tang, L., and Landers, R. G. (January 21, 2010). "Melt Pool Temperature Control for Laser Metal Deposition Processes—Part II: Layer-to-Layer Temperature Control." ASME. J. Manuf. Sci. Eng. February 2010; 132(1): 011011. https://doi.org/10.1115/1.4000883
Download citation file:
Get Email Alerts
In-Situ Monitoring and Its Correlation to Mechanical Properties in Additively Manufactured 718 Ni Alloy
J. Manuf. Sci. Eng (March 2025)
NoodlePrint: Cooperative Multi-Robot Additive Manufacturing With Helically Interlocked Tiles
J. Manuf. Sci. Eng (June 2025)
Related Articles
Layer-to-Layer Height Control for Laser Metal Deposition Process
J. Manuf. Sci. Eng (April,2011)
Melt Pool Temperature Control for Laser Metal Deposition Processes—Part I: Online Temperature Control
J. Manuf. Sci. Eng (February,2010)
A Convection/Radiation
Temperature Control System for High Power Density Electronic Device
Testing
J. Electron. Packag (September,2008)
Optimizing Cam Profiles Using the Particle Swarm Technique
J. Mech. Des (September,2011)
Related Proceedings Papers
Related Chapters
A Novel Approach for LFC and AVR of an Autonomous Power Generating System
International Conference on Mechanical Engineering and Technology (ICMET-London 2011)
A New Hybrid Algorithm for Optimization Using Particle Swarm Optimization and Great Deluge Algorithm
International Conference on Advanced Computer Theory and Engineering, 4th (ICACTE 2011)
Evaluation for Cylindricity Errors Based on a Particle Swarm Optimization Algorithm
International Conference on Advanced Computer Theory and Engineering (ICACTE 2009)