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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 ICME Gap Analysis for Materials Design and Process Optimization in Additive Manufacturing
Author(s) Wei Xiong
On-Site Speaker (Planned) Wei Xiong
Abstract Scope Additive manufacturing is a disruptive technique to release design freedom in alloy components. However, materials and processing design for additive manufacturing also introduces new challenges due to different process-structure-property relationships. In this talk, we will perform an ICME (integrated computational materials engineering) gap analysis based on studies of alloys prepared by different additive manufacturing techniques, including powder bed fusion, powder-based directed energy deposition, and wire-arc additive manufacturing. The differences in the structure-property correlations due to various manufacturing processes will be discussed. Post-processing and their sequence on mechanical performance, such as fatigue resistance, will be emphasized. Furthermore, we will explore opportunities in microstructure engineering of steel and superalloys for additive manufacturing and its post-processing. Conventional casting alloy studies are used to benchmark such an ICME gap analysis. The research performed in the same alloy system using different manufacturing techniques calls for the ad-hoc post-processing design as well as uncertainty quantification.


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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