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Meeting MS&T21: Materials Science & Technology
Symposium Additive Manufacturing of Metals: ICME Gaps: Material Property and Validation Data to Support Certification
Presentation Title Enabling Quality Assurance by Completing the Process-Property-Performance Paradigm for Additive Manufacturing
Author(s) Peter C. Collins
On-Site Speaker (Planned) Peter C. Collins
Abstract Scope The promise of quality assurance is exciting - ensure that a process is sufficiently well-understood through data, theory, and accurate models to predict, within a degree of confidence, that a given material state will be produced with an expected set of properties and performance. This presentation will describe, by way of examples, the state-of-the-art related to quality assurance, as well as delve into the areas that require more work - especially related to in-situ and ex-situ nondestructive evaluation methods. Relative to the state-of-the-art, examples related to multiple processes will be given, around a common class of materials (titanium-based alloys). We will demonstrate process modeling, microstructural modeling, and full modeling of properties. It is necessary to characterize the materials state at scale, and new techniques will be discussed. Lastly, the possible NDE methods for in-situ and ex-situ techniques will be presented.
Proceedings Inclusion? Planned: None Selected

OTHER PAPERS PLANNED FOR THIS SYMPOSIUM

An Analysis of the Dislocation Density of Inconel 718 Additive Manufacturing Powder
An ICME Approach for Designing Appropriate Heat Treatments in Additively Manufactured Nitrogen Atomized 17-4PH Stainless Steel
Capturing and Analyzing In-situ Data within the Directed Energy Deposition Process with DEDSmart
CFD Modelling for AM Processes
Critical Issues and Gaps in Testing and Characterization Data for Computational Materials in Qualification and Certification of Additively Manufactured Metallic Materials
Determining Data Requirements to Quantify Porosity in the Laser Powder Bed Fusion Process
Enabling Quality Assurance by Completing the Process-Property-Performance Paradigm for Additive Manufacturing
Experimental and Numerical Investigation of Pressureless Sintering for Binder Jetted Metal Parts
High Temperature Material Properties Measurement Capabilities of the NASA MSFC Electrostatic Levitation (ESL) Laboratory
High Temperature Material Property Data and Challenges to Thermal Process Model Predictions and In-Situ/Ex-Situ Measurements for Metallic Additive Manufacturing
ICME Gap Analysis for Materials Design and Process Optimization in Additive Manufacturing
ICME Gaps for Additive Manufacturing of Metals
Laser Energy Coupling during Metal Additive Manufacturing
Lessons Learned from Calibration and Validation of Process Models for Laser Powder Bed Fusion
Methods for Improved Part-scale Thermal Process Simulations in Laser Powder Bed Fusion
On Scan Path Knowledge for Model Informed Process Planning and Material Quality Predictions
Phase Field Informed Monte Carlo Texture Evolution Models for Additive Manufacturing Microstructure Simulation and the Need for Experimental Grain Competition Data
Predicting Melt Properties Using Atomistic Simulations with a Highly Accurate Physically Informed Neural Network Interatomic Potential
Providing a Rigorous Measurement Foundation for Modeling-Informed Qualification and Certification of Metal AM Components
Transferability of Terrestrial Development of Metal Additive to Extraterrestrial Applications

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