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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 High Temperature Material Property Data and Challenges to Thermal Process Model Predictions and In-Situ/Ex-Situ Measurements for Metallic Additive Manufacturing
Author(s) Joshua Fody, Samuel Hocker, Joseph Zalameda, Wesley Tayon
On-Site Speaker (Planned) Joshua Fody
Abstract Scope Understanding and predicting as-built mechanical properties of parts produced by metallic additive manufacturing has improved significantly over the past decade; however, difficult to measure material properties and process outcomes continue to be challenges. The qualification or certification of aerospace parts require extensive measures to quantify variable properties of the parts in order to reduce the risk of component failure. The variability, inherent to the additive manufacturing process, adds unwanted uncertainty in the production of load critical structural components. Process modeling has proven valuable in providing predictions and context for understanding outcomes of the additive manufacturing process; however, these physically informed process models require material properties at temperatures that are difficult to measure and rarely available. Furthermore, calibrating or validating the process models is difficult because such ground truth data is challenging to measure. This talk will explore some of the challenges to acquiring and relating calibrated in-situ thermography and ex-situ optical microscopy measurements.

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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