ProgramMaster Logo
Conference Tools for 2025 TMS Annual Meeting & Exhibition
Login
Register as a New User
Help
Submit An Abstract
Propose A Symposium
Presenter/Author Tools
Organizer/Editor Tools
About this Abstract
Meeting 2025 TMS Annual Meeting & Exhibition
Symposium Microstructural Evolution and Material Properties Due to Manufacturing Processes: A Symposium in Honor of Anthony Rollett
Presentation Title Finite-Element Predictions of Forming of Single Crystal and Polycrystalline Aluminum Alloy Sheets Based on a Recent Crystal Model
Author(s) Oana Cazacu, Benoit Revil-Baudard
On-Site Speaker (Planned) Oana Cazacu
Abstract Scope Material processing induces preferential arrangements of the grains which in turn results in anisotropy in the macroscopic plastic properties. Improvement of the finite-element predictions (FE) of the geometry of the final part (e.g. shape, thickness reduction) necessitates accurate modeling of the plastic anisotropy [1]). We present FE simulations of deep-drawing process for both single-crystals and polycrystalline materials. We use a crystal model [2] is defined for any stress and fulfills the symmetry requirements associated with the crystal lattice. Specifically, the crystal model is expressed in terms of generalized stress invariants, developed in the framework of the theory of representation of tensor functions. The predictive capabilities are demonstrated for deep-drawing of Al single crystal sheets. It is shown that depending on the crystal orientation, either four, six, or eight ears develop. Next, we present FE simulations of deep-drawing process in which we account for both the anisotropy in the plastic deformation of the constituent grains and the initial texture of the polycrystalline material. In the FE simulations, a polycrystalline aggregate is associated with each FE integration point. The FE code imposes the computed macroscopic velocity gradient on the polycrystal. The orientation and the hardening of the individual grains, which depend on the deformation history of the element are updated, and the macroscopic stress for use in the solution of the continuum equilibrium equations is obtained from the stresses in each grain, which in turn were calculated by solving the full-set of coupled equations governing the elasto-plastic single crystal behavior (i.e. elastic response, the crystal yield condition, flow rule, consistency-condition) using a fully-implicit backward Euler method. Illustrative examples are presented for deep drawing of aluminum 6000 series. [1] O. Cazacu, B.Revil-Baudard Plasticity of Metallic Materials: Modeling and Applications to Forming, Elsevier, 2020. [2] O. Cazacu, et al., A yield criterion for cubic single crystals, Int J Solids Struct. 151 (2018) 9-19.
Proceedings Inclusion? Planned:
Keywords Aluminum, ICME, Computational Materials Science & Engineering

OTHER PAPERS PLANNED FOR THIS SYMPOSIUM

A Computationally Efficient Microstructure Evolution Model for the Hot Rolling Process
Accelerating Solidification Pathway Control in Steel Additive Manufacturing by Leveraging Active Learning and CALPHAD Modeling
Advanced Coupling of an FFT-Based Mesoscale Modeling Method to a Macroscale Finite Element Method
Advances in FFT-Based Modelling of Microstructure/Property Relationships of Polycrystalline Materials
Advantages and Limitations of the Coupled Random Cellular Automata Finite Element Model of Dynamic Recrystallization
Adventures Exploring Five-Dimensional Space with Tony Rollett
An Integrated Computational Framework for Microstructure Evolution During Deformation and Recrystallization of FCC Metals
An Overview of Synchrotron X-ray Microscopies: From Macro to Nano
Building Microstructural Digital Twins and Their Applications to Materials Properties
Connecting Structure and Processing Through Simulation: Statistics, Machine Learning, and Future Directions in Inverse Materials Design
Criteria for Compatible Deformation of Polycrystalline Materials
Development of Coherent X-Ray Imaging for Nanometer Scale Strain Dynamics at Grain Boundaries
Dynamic Grain-Boundary Strengthening Contributes to Hardening During Microindentation
Effect of Annealing Temperature on Microstructure and Mechanical Properties of Al Added Medium Mn Steel
Effects of Cellular Microstructure on Strength, Fatigue and Hydrogen Embrittlement of Additively Manufactured Alloys
Effects of Forging Parameters on Microstructural and Mechanical Anisotropy in Wire Arc Additively Manufactured (WAAM) AISI 316LSi.
Enabling 3D Multiscale Materials Characterization Using Machine Learning
Enhanced Thermal Stability in Additive Friction Stir Deposited ODS IN9052 Al Alloy
Enhancing Polycrystalline-Microstructure Reconstruction from Diffraction Microscopy with Phase-Field Post-Processing
Enhancing the Microstructure and Mechanical Properties of API 5LB Pipeline Steel Using Deep Cryogenic Treatment
Evaluation of Additively Manufactured Parts Using a Work-Hardening Analysis
Evolution of Grain Boundary Character Distribution in High-Mn Steel
Experimental and Numerical Studies on Melt Pools in Metal Additive Manufacturing
Explicit Cracking in Microstructure-based Simulations of Failure Mechanisms
Field Fluctuations Elasto-Plastic Self-Consistent Crystal Plasticity: Applications to Predicting Texture Evolution During Rolling, Recrystallization, and Drawing Processes
Finite-Element Predictions of Forming of Single Crystal and Polycrystalline Aluminum Alloy Sheets Based on a Recent Crystal Model
From Synthetic Microstructures to SERVES for Manufacturing and Engineering Design
Grain-Resolved Reorientation and Orientation Gradient Development in Cyclic Loading of Ti-7Al Using High Energy X-Ray Diffraction Microscopy
Impact of Cold-Wire Gas Metal Arc Welding (CW-GMAW) Parameters on Microstructure and Microhardness Characteristics in Repairing S275JR Structural Steel
Improving Mechanical Durability of SLA Printed Components for Load-Bearing
Integration of Phase-Field Model and Fast Fourier Transform-Based Crystal Plasticity With Geometrically Necessary Dislocations to Simulate Microstructure Evolution During the Manufacturing of Gradient Grained Metals
Investigating Microstructural Changes in Wrought 316L and As-Deposited Wire Arc Additively Manufactured 316LSi After Forging Using Double Cone Samples
Microstructure Evolution and Mechanical Behavior of As-Cast Chromium-Contained Ductile Cast Iron
Modeling Microstructure Fatigue Indicator Parameters Using Symbolic Regression with Graph Neural Networks
Morphological Stability of Recrystallization Fronts: Theory and Simulations
Nano-Scale Analysis of Mechanically and Thermally Induced White Layers in Hard Turned AISI 52100 Bearing Steel
Phase Transformation and Plasticity Enhanced by Electric Current or Charge
Practical Benefits from Spherical Indexing of EBSD Patterns for Microstructure Characterization
Predicting Spatial Variability of Mechanical Properties in Additively Manufactured Metals Using a Process-Structure-Property Modeling Framework
Predictions of the Mechanical Behavior Scaling of Beam and Sheet Structures
Quantifying Abnormal Grain Growth with Correlation Analyses and Information Theory
Recovery and Recrystallization of Deformed Metal Nanoparticles
Revealing the Influence of Rolling Reduction and Temperature on the Deformation and Recrystallization Behavior of Ta-10W Alloy
Role of Relative Amount of Mn and Ni on Chemical and Mechanical Stability of Austenite in δ-Ferrite Containing Medium-Mn Steels
Separating the Effects of Porosity and Microstructure on the Mechanical Properties of Laser Powder Bed Fusion Ti-6Al-4V
The Analysis of Grain Boundary Networks by 3D Serial Sectioning
The Annealing Twin Paradox : Well-Known Defects but Still not Fully Understood
The Dynamics of Grain Growth in Thin Specimens: The Role of Free Surfaces
The Influence of Processing Route on the Grain Boundary Network in Structural Alloys
Understanding Dislocation Cell Structure in a Coni-Based Superalloy Fabricated by Laser Powder Bed Fusion
Understanding the TRIP Effect in Hot- and Cold-Rolled Al-Added Medium-Mn Steels: Insights Into Austenite Stability and Martensitic Transformation Kinetics
Understanding Twin Nucleation in Mg Alloys Through In Situ Synchroton Experiments and Machine Learning Models

Questions about ProgramMaster? Contact programming@programmaster.org