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Meeting Materials Science & Technology 2020
Symposium Materials Informatics for Images and Multi-dimensional Datasets
Presentation Title Keyhole Porosity Threshold in Laser Melting Revealed by High-Speed X-ray Imaging
Author(s) Runbo Jiang, Benjamin Gould, Andy Ramlatchan, Joseph Aroh, Anthony Rollett
On-Site Speaker (Planned) Runbo Jiang
Abstract Scope It’s generally accepted that operation outside the conduction regime results in the formation of subsurface trapped gas pores (i.e. keyhole pores). However, the transition between conduction and keyhole mode inducing subsurface porosity is relatively large and not well explored. In-situ high-speed x-ray imaging has proven useful in investigating the keyhole behavior of laser powder bed fusion. The undulation of the area and the variance of front wall angle of the vapor cavity were measured in each time frame in x-ray images. It was found that the boundary in between is not discrete. A threshold of keyhole pore formation in Al6061 and IN718 was determined. Operation under keyhole condition can lead to faster print time. Therefore, if the keyhole porosity threshold facilitates the use of this mode without the formation of porosity, build rate can be significantly improved. Alternative methods are being used to expand this transition regime.

OTHER PAPERS PLANNED FOR THIS SYMPOSIUM

Accelerate TEM and Tomography Imaging by Deep-learning Enabled Compressive Sensing and Information Inpainting in High-dimensional Manifold
Assessment of the Ability of Laboratory Accelerated Corrosion Tests to Accurately Predict On-road Corrosion of 6xxx Al Alloys
Automated Optical Microscopy for Rapid Defect Screening
Computer Vision and Machine Learning for Microstructural Image Data
Developing Granular Dielectrics Based on Reconstructed Micro-CT Images
FAIR Digital Object Framework and High Throughput Experiment
Feature Characterization of Electron Backscatter Patterns from Rotating Lattice Single Crystals Using Machine Learning
Identifying Crack Initiation Sites with CNNs
Incorporating Materials Physics into Imaging Algorithms for Microscope Image Interpretation
Introductory Comments: Materials Informatics for Images and Multi-dimensional Datasets
Keyhole Porosity Threshold in Laser Melting Revealed by High-Speed X-ray Imaging
Microstructure Representation for Physically Meaningful Descriptors
Neural Networks and Community Driven Software for Scanning Transmission Electron Microscopy
Towards Smart Categorization of Growth Morphology by Machine Learning

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