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Meeting Materials Science & Technology 2020
Symposium Additive Manufacturing: Equipment, Instrumentation and Measurement
Presentation Title Benefits of In-situ Monitoring in Metal Additive Manufacturing
Author(s) Kevin Luo
On-Site Speaker (Planned) Kevin Luo
Abstract Scope Metal Additive Manufacturing processes such as Directed Energy Deposition (DED) can produce complex geometries with incredible benefits for applications, but there are challenges between concept design and producing a part. In order to create quality, repeatable parts, in-process monitoring can be utilized to both collect data and control the build process. The data collected can help determine the point of failure initiation, and with implemented control in place, self-correction is possible during the build process. With Directed Energy Deposition, various monitoring and control modes are available to reduce parameter development times, improve build quality, and limit operator input during a build. Among these control modes are melt pool size and temperature, powder flow, laser power, and geometric monitoring and control. These control modes not only significantly reduce the process parameter development cycle, but also result in a higher quality build to include density and material properties.

OTHER PAPERS PLANNED FOR THIS SYMPOSIUM

A New Preheating Method for Electron Beam Powder Bed Fusion, Opening a Wider Range of Processable Feedstocks
Adaptive Multi-Beam Laser Additive Manufacturing (AMB-LAM) Technology: Instrumentation and Processes Development and Demonstration
Analysis of In-Situ, 3D Surround Digital Image Correlation with Mapped Thermography in Directed Energy Deposition
Benefits of In-situ Monitoring in Metal Additive Manufacturing
Characterization of 3D-printed Metals with Ultrasonic Technique
Combining In-situ Monitoring and X-ray Computed Tomography to Assess the Quality of Parts Manufactured by Powder Bed Fusion
Dynamics of Laser-powder-metal Interactions in L-PBF Captured by High Speed Imaging
In-Process Quality Control and Optimization for Ceramic 3D Printing
Investigations on Optical Emissions and Their Relation to Processing Parameters and Processing Regimes in The Laser Powder Bed Fusion Process
Machine Learning Enabled Acoustic Monitoring for Flaw Type Detection in Laser Powder Bed Additive Manufacturing
Mechanical In-situ µCT Testing of Lattice Structures Manufactured by Selective Laser Melting
Optical Emission Sensing for Laser-based Additive Manufacturing – What Are We Actually Measuring?
Polyspectral Analysis for In-situ Prediction of Deviations in Laser Powder Bed Fusion Additive Manufacturing
Real Time Monitoring of Electron Emissions during Electron Beam Powder Bed Fusion and Process Control for Arbitrary Geometries and Toolpaths
Using In-situ Process Monitoring Data to Identify Defective Layers in TI-6AL-4V Additively Manufactured Porous Biomaterials

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