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Meeting MS&T21: Materials Science & Technology
Symposium Additive Manufacturing of Metals: Equipment, Instrumentation and In-Situ Process Monitoring
Presentation Title Materials Characterization of Anomalies Identified Through In-situ Process Monitoring Data Analytics
Author(s) Jonathan Ciero, Dylan Christman, Kyle Ryan, Shuchi “SK” Khurana, Thomas Spears, Joy Gockel
On-Site Speaker (Planned) Jonathan Ciero
Abstract Scope Laser powder bed fusion (LPBF) is a rapidly growing metal additive manufacturing (AM) technology for the fabrication of complex end-use parts. However, LPBF has difficulties assuring quality parts with minimal defects during the build process without additional post-processing that adds to the total cost and overall part manufacturing time. The use of in-situ process monitoring can assure build quality and can support qualification and certification of AM parts. Using three different in-situ sensors, data was collected over multiple builds of Alloy 718 with strategically generated process anomalies using processing parameters and problematic geometries. Materials characterization methods were employed to quantify defects in anomalous regions as indicated by the in-situ process monitoring data analytics. Anomalies detected during the AM builds are associated with specific material defects to further guide the development of robust process monitoring techniques to detect quality issues that could lead to part failure.
Proceedings Inclusion? Undecided


Advancing Measurement Science of Laser Powder Bed Fusion (LPBF) Process Monitoring Applying Thermal Imaging
Combined In-situ Monitoring of Meltpool, Powder Layer, and Part Topography for Laser Powder Bed Fusion (LPBF) Based Metal Additive Manufacturing
Defect Recognition and Improvement in Ti-6Al-4V Fabrication by In-situ Monitoring and Feedback System of Directed Energy Deposition LAMDA 200
Functionally Graded Material Development by Leveraging Ultrasonic Grain Refinement in Additive Manufactured Nickel 718
High-speed Observations and Quantification of Spatter in Laser Powder Bed Fusion
In-situ Sensing in Processing Parameter Development for Bismuth Telluride Bulk Part Fabrication Using Laser Powder Bed Fusion
Innovative and Practical Approaches to Laser Powder Bed Fusion Sensing and Process Enhancement
Laser Powder Bed Fusion of Tall Thin Walled Structures: Dimensional Inaccuracy Due to Local Buckling, and In Situ Infrared Imaging for Early Failure Detection
Materials Characterization of Anomalies Identified Through In-situ Process Monitoring Data Analytics
Melt Pool Level Flaw Detection in Laser Hot Wire Additive Manufacturing Using a Trained Convolutional Long Short Term Memory Autoencoder
Physics Guided Machine Learning DED Melt Pool Width Prediction
Plenoptic Imaging for In-situ PIV and Melt Pool Monitoring in Laser Directed Energy Deposition
Studying the Effect of Inert Gases on Thermal Behavior in Laser Powder Bed Fusion Using In Situ Monitoring and Similarity Analysis
Ultrasonics for Monitoring Melt Pool Dynamics and Solidification

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