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Meeting 2021 TMS Annual Meeting & Exhibition
Symposium Computational Techniques for Multi-Scale Modeling in Advanced Manufacturing
Sponsorship TMS Materials Processing and Manufacturing Division
TMS Extraction and Processing Division
TMS: Computational Materials Science and Engineering Committee
TMS: Process Technology and Modeling Committee
Organizer(s) Adrian S. Sabau, Oak Ridge National Laboratory
Anthony D. Rollett, Carnegie Mellon University
Laurentiu Nastac, University of Alabama
Mei Li, Ford Motor Company
Alexandra E. Anderson, Gopher Resource
Srujan Rokkam, Advanced Cooling Technologies Inc
Scope The purpose of the symposium is to present the development of computational techniques for the modeling of multi-scale phenomena in materials processing and advanced manufacturing processes such as additive manufacturing. The submitted papers should address the new application of conventional techniques or new, more efficient, numerical methods and solution algorithms for the solution of problems that involve multiple-scale phenomena. Typical topics may include solution algorithms for coupling of models that describe microscale, mesoscale, and macroscale phenomena, deterministic and stochastic models, phase field simulations, cellular automata, direct numerical simulations of microstructure, mass transport, stress evolution during solidification, and fluid dynamics effects. In addition to theoretical studies, experimental efforts that generate data to validate the models are encouraged; as are applications of these techniques to solve actual complex problems faced by industry in developing new materials and new processes. Topics may pertain to phenomena related to any material or metallurgical processes.
Abstracts Due 07/20/2020
Proceedings Plan Planned:

A Hybrid Approach to Connecting a Low Fidelity Model to a High Fidelity Model for Efficient and Accurate Prediction of Thermal History of Large Domains in Additive Manufacturing
A Parametric Study of Grain Size and Its Volume Fraction Effect on Heterogeneous Materials Mechanical Properties
Computational Modeling of Nanoparticles Dispersion in Hybrid Process of Ink Jetting and Laser Powder Bed Fusion
Computational Multi-Scale Modeling of Segregation and Microstructure Evolution during the Solidification of A356 Ingots Processed via a 2-Zone Induction Melting Furnace
Effect of Nozzle Injection Mode on Initial Transfer Behavior of Round Bloom
Experimental Verification of a Crystal Plasticity-based Simulation Framework for Predicting Microstructure and Geometric Shape Changes: Application to Taylor Impact Testing of Zr
FFT-CDD Multiscale Modeling of Hardening in Polycrystalline Metals Based on Dislocation Interactions with Grain Boundaries
Fluid Dynamics Effects on Microstructure Prediction in Single-Laser Tracks for Additive Manufacturing
In Situ and Operando Synchrotron Experiments for Additive Manufacturing Model Validation
Investigation of Powder Spattering in Laser Powder Bed Fusion through Multi-physics Modeling and High-speed Synchrotron X-ray Imaging
Machine-learning Informed Design of High-strength Gradient Metals for Additive Manufacturing
Mesoscopic Model of Transient Flow in a Continuous Casting Mould
Microstructural Evolution and Defect Formation During Pulsed and Continuous Selective Laser Melting
Microstructure Based Modeling of Friction Stir Welded Joint between Dissimilar Metals Using Crystal Plasticity
Modeling Material Behavior during Continuous Bending Under Tension for Inferring the Post-necking Strain Hardening Response of Ductile Sheet Metals: Application to Dual-phase Steels
Modeling the Role of Local Crystallographic Correlations in Microstructures of Ti-6Al-4V Using a Lamellar Visco-plastic Self-consistent Polycrystal Plasticity Formulation
Multi-scale, Multi-physics Modeling of Additive Manufacturing: Challenges and Potential Solutions
Multiphysics Simulation of Microstructure Evolution in Selective Laser Melting of AlSi10Mg
Multiscale Coupling of Computational Fluid Dynamics and Phase-field Simulations for Rapid Solidification of an Al-Si Binary Alloy Under Additive Manufacturing Conditions
Multiscale Crystal Plasticity in Integrated Computational Materials Engineering
Particle Resolved Simulation of Laser Powder-bed Fusion Including Metal Evaporation and Vapor Plume Dynamics
Phase-field Modeling of The Evolution Kinetics of Porous Structure During Dealloying of Binary Alloys
Predicting Mechanical Performance in Additive Manufacturing Components Using Deep Learning
Smoothed Particle Hydrodynamics based approach for 3D Modeling of Linear Friction Welding Process
Study on the In-mold Flow Behavior Driven by a Subsurface Electromagnetic Stirring for IF Steel Slab Casting
Synchrotron Calibrated Lagrangian Particle Tracking of Melt-pool Ejections during Laser Powder Bed Fusion

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