ProgramMaster Logo
Conference Tools for MS&T21: Materials Science & Technology
Register as a New User
Submit An Abstract
Propose A Symposium
Presenter/Author Tools
Organizer/Editor Tools
About this Abstract
Meeting MS&T21: Materials Science & Technology
Symposium Additive Manufacturing of Metals: ICME Gaps: Material Property and Validation Data to Support Certification
Presentation Title Methods for Improved Part-scale Thermal Process Simulations in Laser Powder Bed Fusion
Author(s) Seth T. Strayer, Florian Dugast, Alaaeldin Olleak, Shawn Hinnebusch, Joshua Fody, Albert To
On-Site Speaker (Planned) Seth T. Strayer
Abstract Scope This talk presents methodologies for improving the fidelity and accuracy of part-scale thermal process simulations using the finite element (FE) method in laser powder bed fusion (LPBF) through novel numerical algorithms and data-driven approaches. First, the demand and feasibility of part-scale LPBF thermal process simulations are discussed. Second, we will address the limitations of using a pure conduction-based FE model to simulate the complex physical mechanisms occurring during LPBF. Several existing approaches to alleviate these issues, including matrix-free method with GPU computing, heat source optimization, and anisotropically enhanced thermal properties, will be presented. We will also explore avenues for improving such techniques, highlighting the need for accurate high-temperature material properties and the pivotal role of extensive calibration and validation data.


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

Questions about ProgramMaster? Contact