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Meeting 2026 TMS Annual Meeting & Exhibition
Symposium Additive Manufacturing Modeling, Simulation and Artificial Intelligence
Presentation Title Crystal Plasticity Finite Element Modeling of Polycrystalline Metals Produced by Additive Manufacturing
Author(s) Caizhi Zhou, Md Mahabubur Rohoman
On-Site Speaker (Planned) Caizhi Zhou
Abstract Scope The rapid cooling rates in metal additive manufacturing (AM), particularly in laser powder bed fusion (LPBF), lead to distinctive microstructural features such as dislocation cell structures, interlayer interfaces, and molten pool boundaries. Understanding how this spatial microstructural heterogeneity influences the mechanical behavior of AM metals is essential for optimizing their performance. In this study, we develop a novel dislocation density-based model to explore microstructure evolution during deformation in AM metals. This model will be implemented within a crystal plasticity finite element (CPFE) framework to investigate the role of dislocation cell structures in governing the strength and plastic anisotropy of AM metals. We will analyze how variations in cell size and dislocation density influence the evolution of geometrically necessary dislocations (GNDs) and statistically stored dislocations (SSDs) during plastic deformation. The results will advance our fundamental understanding of the process–structure–property–performance relationships in AM metals.
Proceedings Inclusion? Planned:
Keywords Additive Manufacturing, Modeling and Simulation, Mechanical Properties

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A Statistics-Informed Efficient Micromechanical Model for Additively Manufactured Ti-6Al-4V
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Bridging and Coupling Models with Microstructure and Thermo-Fluid Flow in Powder Bed Fusion
Columnar-To-Equiaxed Transition in Laser Fusion Additive Manufacturing
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Crystal Plasticity–Informed Surrogate Modeling for Predictive Laser Powder Bed Fusion Simulation of Ti-6Al-4V
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F-22: An Artificial Neural Network Modeling Approach to Electroforming of Micro-Tubes in the Presence of Surfactants
F-23: Computational Thermodynamics-Based Optimization of Ti-6Al-4V via Al and V Substitution for Additive Manufacturing
F-24: Convolution Tensor Decomposition Method for Efficient High-Resolution Solutions to the Allen-Cahn Equation: Application to Grain Growth Simulations in Additive Manufacturing
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F-27: Expanding Capabilities to Simulate Powder Bed Fusion Process With Additive Manufacturing Module
F-28: Experimental‑CFD-Based Observation of Thermo‑Fluid Mechanisms in LPBF with Nanoparticle‑Coated Powders
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F-32: Melt Pool Control and Segregation Using Magnetic Field in Additive Manufacturing
F-33: Modeling and Simulation of the Shock Response in AM Material Accounting for the Retained Porosity
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F-36: Predictive Multi-Physics Multi-Material Design of Refractory Materials in Laser Powder Bed Fusion Additive Manufacturing
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Identifying LPBF Anomalies and Creep Damage in Nickel Based Super Alloys
Image-Based Uncertainty Quantification of Geometric Deviations in Additive Manufacturing
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