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Meeting MS&T23: Materials Science & Technology
Symposium Additive Manufacturing: Equipment, Instrumentation and In-Situ Process Monitoring
Presentation Title Reinforcement Learning for In-situ Melt Pool Control during Laser Powder Bed Fusion
Author(s) Anant Raj, Latif Adurzada, Benjamin Stegman, Charlie Owen, Hany Abdel-Khalik, Xinghang Zhang, John W. Sutherland
On-Site Speaker (Planned) Anant Raj
Abstract Scope Low part quality repeatability during laser powder bed fusion (LPBF) restricts its wider adoption for manufacturing. This is a consequence of process fluctuations, like the variation in the shield gas flow across the build plate, leading to variations in the attenuation of the laser by the plume, ultimately resulting in location-specific property variations. Our previous work demonstrates that signatures of this variation can be captured using co-axial melt pool monitoring. In this work, we generate synthetic co-axial melt pool signals using Flow3D simulations. Using reinforcement learning (RL), we control the printing process to counter random perturbations in laser-plume interactions. We train deep Q-network and proximal policy optimization based RL-agents using melt pool signals as input and demonstrate that the agents can control the printing parameters to obtain targeted melt pool profiles in the presence of process fluctuations. The approach is expected to enhance repeatability in LPBF.


An Efficiency Study of Multi-Mode Laser Profiles
Customized Glove Box for In Situ Monitoring of Laser Directed Energy Deposition
Exploring a Supervisory Control System Using ROS2 and IoT Sensors
Fill Impact Welding: Additive Manufacturing through Ballistic Impact of Metallic Sheets
Implementing Statistical Process Control in Laser Powder Bed Fusion Metal Additive Manufacturing
In-situ Pyrometric Sensing for Real-time AM Process Monitoring and Control
Investigating the Effect of Part Geometry on Microstructure for Laser Powder Bed Fusion of Bismuth Telluride using In-Situ Process Monitoring
Melt Pool Scale Process Monitoring for Laser Hot Wire Additive Directed Energy Deposition
Quantification of Build Interruptions through In-Process Monitoring and Mechanical Test
Real Time Observations of In-Situ Alloying Molybdenum and Ti-6Al-4V in Laser Directed Energy Deposition Additive Manufacturing
Reinforcement Learning for In-situ Melt Pool Control during Laser Powder Bed Fusion
Robust Detection of L-PBF Process Anomalies Using High-speed On-axis Melt Pool Pyrometry
Two-color Melt Pool Thermal Imaging on Powder-blown Laser-DED to Advance Understanding of Melt Pool Thermal-fluid Physics

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