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Meeting 2026 TMS Annual Meeting & Exhibition
Symposium Additive Manufacturing Modeling, Simulation and Artificial Intelligence
Presentation Title F-25: Creep Property of SS316L Lattices Fabricated by Laser Powder Bed Fusion
Author(s) Mingquan Tao, John A. Moore, Le Zhou
On-Site Speaker (Planned) Mingquan Tao
Abstract Scope Lattice structures have demonstrated significant potential for a wide range of industrial applications due to their exceptional thermo-mechanical properties. This study investigates the compressive creep property and microstructural characteristics of SS316L lattices experimentally and computationally. As-built face-centered cubic (FCC) and body-centered cubic (BCC) SS316L lattices were tested under various stress conditions in the temperature range of 550–650 °C. The minimum creep strain rates and creep behavior were found to conform to the Norton–Bailey power law. Finite element simulations were conducted using both beam element and continuum element models to replicate the creep experiments under identical conditions. While the continuum model more accurately captured local stress and strain distributions, the simplified beam model offered significantly higher computational efficiency. Microstructural evolution of the grain size and distribution was characterized and correlated to the creep behaviors. These findings provide a reliable basis for predicting the high-temperature creep property of lattice structures.
Proceedings Inclusion? Planned:
Keywords Additive Manufacturing, Iron and Steel, Mechanical Properties

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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
F-25: Creep Property of SS316L Lattices Fabricated by Laser Powder Bed Fusion
F-26: Enhancing Binder Jetting Performance: A Multi-Scale Numerical Approach to Residual Porosity Reduction
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
F-29: Impact of Intermittent Laser on Fluid and Thermal Response in Directed Energy Deposition: A Numerical Study
F-30: Influence of Inoculants on Aluminum Alloy Microstructure Evolution During Fast Solidification: A Computational Approach Under Laser Powder Bed Fusion Conditions
F-31: Lightweight, Bending-Resistant 3D Voronoi Structures Inspired from Feather Rachis and Optimized by Genetic Algorithm
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
F-34: Numerical Analysis of the Flow Behavior in the Mold Induced by a Real Clogged Nozzle and Symmetrically Reduced Nozzles
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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
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