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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 Lessons Learned from Calibration and Validation of Process Models for Laser Powder Bed Fusion
Author(s) Albert To, Florian Dugast, Seth Strayer, Wen Dong, Xuan Liang, Qian Chen, Hai Tran, Shawn Hinnebusch, Xavier Jimenez
On-Site Speaker (Planned) Albert To
Abstract Scope This talk presents several lessons learned from calibration and validation of process modeling for laser powder bed fusion (L-PBF) including both thermal, thermomechanical, and inherent strain models. First, the validity of using in-situ thermocouple and ex-situ optical microscopy measurement to calibrate thermal process modeling at both the mesoscale (scan-wise) and part scale will be discussed. The need for high temperature material properties in the process simulation model will also be highlighted. Second, we will examine the validity of using double cantilever structure and X-ray diffraction experiments to validate residual stress predicted by process simulation. Third, we will discuss the difficulty in conducting testing to directly obtain as-built fracture toughness of L-PBF material and propose an integrated simulation and modeling approach to overcome this difficulty.


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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