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Meeting MS&T21: Materials Science & Technology
Symposium Additive Manufacturing of Metals: Equipment, Instrumentation and In-Situ Process Monitoring
Presentation Title Defect Recognition and Improvement in Ti-6Al-4V Fabrication by In-situ Monitoring and Feedback System of Directed Energy Deposition LAMDA 200
Author(s) Lingxiao Ouyang, Kenta Aoyagi, Yuji Imamiya, Akihiko Chiba
On-Site Speaker (Planned) Lingxiao Ouyang
Abstract Scope Directed Energy Deposition (DED), known as one of the additive manufacturing technologies, can be utilized to manufacture 3D metal parts via layer-wise cladding, and thus it provides an opportunity to manufacture complex-shaped and customized parts. Besides, Ti-6Al-4V has become one of the most widely studied alloys due to its high strength to density ratio, good corrosion resistance, biocompatibility, and weldability. We set up a coaxial camera with the nozzle (LAMDA 200, Mitsubishi Heavy Industries Machine Tool, Ltd.) for in-situ monitoring of the molten pool surface. Characteristics of the molten pool like Nozzle Brightness Ripple are applied to recognize the surface unevenness. Meanwhile, computational thermal-fluid dynamics (CtFD) simulations are also performed to analyze the melt dynamics, which agrees with results of the in-situ monitoring. Finally, a Proportional-Integral-Differential (PID) feedback system is utilized to accommodate processing parameters and thus improve the surface properties of Ti-6Al-4V fabrication.
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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