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Meeting Materials Science & Technology 2020
Symposium Additive Manufacturing: Qualification and Certification
Presentation Title A Comprehensive Digital Platform for Additive Manufacturing
Author(s) Luke Scime, Alka Singh, Daniel Robertson, Brandon Mathis, William Halsey, James Haley, Samuel Leach, Kyle Saleeby, Amir Ziabari, Michael Sprayberry, Derek Rose, Ryan Dehoff, Vincent Paquit
On-Site Speaker (Planned) Luke Scime
Abstract Scope For Additive Manufacturing to be used in critical applications, part certification is critical. Furthermore, the printer is only one step in any manufacturing chain, with every physical link in this chain requiring a corresponding “digital twin” as part of any robust certification process. In this presentation, the Digital Platform at Oak Ridge National Laboratory’s Manufacturing Demonstration Facility will be discussed. This platform integrates data from in-situ sensors, feedstock provenance, machine maintenance and calibration histories, and metrology characterizations. Each part’s digital twin is defined as a list of operations (e.g. additive prints, heat treatments, subtractive machining, tensile tests) each with associated in-situ and meta data. The Digital Platform enables not only classical certification schemas, but also the use of Artificial Intelligence for defect detection, process control, and prediction of part performance. Examples from the Transformational Challenge Reactor program will be explored, and selected data analytics tools will be described.
Proceedings Inclusion? Undecided


A Comprehensive Digital Platform for Additive Manufacturing
A Multi-Sensor Comparative Study for Fatigue Prognosis of Additively Manufactured Metallic Specimens
Connecting Metal Powder Morphological Characteristics with Flowability Properties Using Machine Learning
CT Based Analysis of Generation and Characterization of Parameter- and Process-induced Defects in Powder Bed Fusion Additive Manufacturing
Effect of Sample Geometry and Orientation on Tensile Properties of Ti-6Al-4V Manufactured by Electron Beam Melting
Ensuring Build Quality thru Physics-based Support Design Optimization for Residual Stress
Influence of Printing Parameters within the Binder-powder Interaction
Introductory Comments: Additive Manufacturing: Qualification and Certification
Physics-based Qualification for Laser Powder Bed Fusion AM
Pore Formation in Laser Powder Bed Fusion Inconel 718 through Multiphysics Modeling
Post-build Heat Treatment of Wire-arc Additive Manufactured 410 SS for Hardness Tuning
Recyclability of Ti-6Al-4V Powders Used in Additive Manufacturing
Reducing Anisotropic Deformation of LPBF Inconel 718 for Applications in Extreme Conditions
Reducing Heat Buildup and Regularizing Melt Pool Dimensions in Laser Powder Bed Fusion through a “Powder Moat” Scan Strategy
Similarity Analysis and Clustering of Thermal History to Understand Process-structure Relationships
Simulation of the Effect of Texture on Anisotropy in SLM-Produced IN718 Microstructures
The Effects of Powder Particle Size Distribution on the Powder and Part Performance of Laser Powder Bed Fusion 17-4 PH Stainless Steel
Unveiling the Relationships between Powder Bed Conditions and Materials Quality during Selective Laser Melting

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