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Meeting 2024 TMS Annual Meeting & Exhibition
Symposium Fatigue in Materials: Fundamentals, Multiscale Characterizations and Computational Modeling
Sponsorship TMS Materials Processing and Manufacturing Division
TMS: Advanced Characterization, Testing, and Simulation Committee
TMS: Computational Materials Science and Engineering Committee
TMS: Integrated Computational Materials Engineering Committee
TMS: Mechanical Behavior of Materials Committee
Organizer(s) Orion L. Kafka, National Institute of Standards and Technology
J.C. Stinville, University of Illinois Urbana-Champaign
Garrett Pataky, Clemson University
Ashley D. Spear, University of Utah
Brian Wisner, Ohio University
Scope This symposium features novel methods and new discoveries for understanding all aspects of material fatigue. It brings together scientists and engineers from all over the world to present their latest work on current issues in: characterizing and simulating fatigue damage; identifying microstructural weak links; enhancing fatigue strength and resistance; reporting on quantitative relationships among processing, microstructure, environment, and fatigue properties; fatigue in non-metallic materials; and providing methods to perform life predictions. This symposium further provides a platform for fostering new ideas about fatigue at multiple scales and in multiple environments, numerically, theoretically, and experimentally.

The symposium organizers plan to build on a highly successful 2023 symposium by introducing a new topical area, while continuing to support fatigue topics relevant to academic and industry research.

The proposed TMS2024 symposium will be provisionally organized into seven sessions. One of the sessions, related to microstructure-based fatigue studies on additive-manufactured materials, will be jointly organized with the AM Fatigue & Fracture symposium to prevent overlapping topics at the TMS2024 meeting. The proposed sessions will be carried out over three full days. Throughout the seven sessions, there will be an estimated 60 oral presentations, with 3-5 of those being keynote presentations on relevant topics. Researchers who achieved new findings in fundamental and industrial fatigue topics will be given the opportunity to provide an invited talk. Additionally, a poster session will be held to supplement the oral presentations and to encourage student involvement. Prizes for best posters will be awarded. A possible edited volume of extended articles on selected topics discussed in this symposium will be evaluated during the meeting. Topics of interest may include (but are not limited to):

  • Predictive methods for fatigue properties. For instance, digital twin approaches; data-driven, data-centric and high-throughput methods; multiscale modeling approaches.
  • Advanced experimental characterization of microstructurally driven fatigue behavior. For instance, emerging characterization methods; multi-modal, correlative and 3D measurements.
  • Fatigue deformation processes. For instance, damage initiation, crack propagation, and plastic localization.
  • Fatigue properties in extreme environments. For instance, Fatigue properties of novel alloys for extreme environments; fatigue properties at high or cryogenic temperature; very/ultra high cycle fatigue.
  • Fatigue of non-metallic materials. For example, carbon fiber composites, cementitious and construction materials, ceramics, semiconductor materials up to full chips and packaging, and polymeric materials systems including resins and other 3D printed polymers.
  • Fatigue studies and design under the process-(micro)structure-properties-performance paradigm
  • Microstructure-based fatigue studies on additive-manufactured materials (Coordinated joint session with Additive Manufacturing Fatigue and Fracture: Towards Rapid Qualification Symposium)
Abstracts Due 07/15/2023
Proceedings Plan Planned:

A Two-surface Modeling to Improve Creep-fatigue Predictions in Ni-based Single-crystal Superalloys
Atomic-scale Examination of the Film Rupture Model for Fatigue Crack Growth
Beyond Goodman Diagram in Fatigue: Accurate Correlations of Mean Stress Effects on Fatigue Life Based on Physical Model of S-N Fatigue
Characterizing the Fatigue Behavior of Nanocrystalline Thin Films via Automated High-throughput In-situ SEM Testing
Comparison of Hardening Behavior and Yield surface in Ti6Al4V Made using Laser Powder Bed Process and Traditional Methods
Critical Microstructural Features for Fatigue Crack Initiation at Basal Twist Grain Boundaries in Ti Alloys
Crystal Plasticity Fatigue Modeling of Additively Manufactured Materials With Various Pore Defect Morphology
Crystal Plasticity Modeling of Superelastic Behavior in High Temperature Shape Memory Alloys
Development of Irreversible Intragranular Orientation Gradients and Slip Processes During Cyclic Loading in Polycrystalline Inconel 718
Dislocation Microstructure Evolution and Plastic Deformation at Crack Tips: A Continuum Dislocation Dynamics Investigation
Exploring Effects of Cold-dwell Fatigue on the Growth of Long Cracks in Alpha+Beta Ti-6Al-4V
Fatigue Crack Nucleation Mechanisms in AZ31 Mg Alloy: Experiments and Simulations
Fatigue Crack Propagation in Rotary Friction Welded Inconel 600 and SS316L Joint
Fatigue Damage Prediction Using Graph Neural Networks on Microstructure Representations
Fatigue Indicator Parameters: Effects of Phase Transformation and Nonlocality
High-throughput Characterization of Small Crack Growth Behavior in Ti-6-4
High Temperature Fatigue Crack Growth in Nickel-based Alloys Joined by Brazing and Additive Manufacturing
Improved High-cycle Fatigue Behavior of Nanocrystalline Pt-Au Thin Films Demonstrated Using a MEMS Based Microresonator Up to a Billion Cycles
In-situ Characterization of Dislocation Density Evolution in Nickel-titanium Shape Memory Alloys During Load-biased Thermal Cycling Using High-energy Diffraction Microscopy
In-situ Characterization of Functional Fatigue in CuAlNi Shape Memory Alloys Using X-ray Topotomography, Diffraction Contrast Tomography, and 3D X-ray Diffraction
In Situ Failure Analysis of Ni-718 Using Machine Learning to Identify Failure States
Influence of Dislocation-precipitate Interactions on Fatigue Crack Initiation in Wire Arc Additive Manufactured Nickel-Aluminum-Bronze
Interpretable Machine Learning for the Prediction of Crack Initiation in Additively Manufactured Inconel 718
Investigation of Stress Corrosion Cracking in CMSX-4 Turbine Blade Alloys Using AI and Deep-learning Assisted X-ray Microscopy
Lifetime Reliability Prediction Tool of Ceramic Receivers
Micromechanical Modeling of Plastic Damage in Metallic Materials
Microstructure Engineering to Disrupt Slip Localization: A New Approach to Enhance Fatigue Strength?
Mitigating Localized Plastic Strain Accumulation in Cyclic Loading of Shape Memory Ceramics: A Phase-field Modeling Study
Monitoring Defect Structure Evolution in Titanium Alloys Using High-Energy X-ray Diffraction
Monitoring Vulnerable Grain Neighborhoods in Inconel-718 During Cyclic Loading Using High Energy X-ray Diffraction Microscopy
Multi-time Scaling Techniques for Accelerating Crystal Plasticity Fatigue Simulations of Additively Manufactured Inconel 718
On the Cyclic Elastoplastic Shakedown Response of an Auxetic Structure
Post-processing Strategies to Improve Fatigue and Fracture Behavior of Additively Manufactured Metals
Reduction in Fatigue Life Scatter of Additive Manufactured AlSi10Mg Using Laser Shock Peening
Simulation of Dislocation Slip Bands during Fatigue of a Precipitate Strengthened Nickel-based Superalloy
Some Impact of Hydrogen Concentration and Distribution on Low Cycle Fatigue Behavior of Titanium Alloys
Strain Localization and Slip Irreversibility in the Grain Boundary Vicinity Studied Using In Situ Fatigue and HR-EBSD in FCC Metals
The effect of R-ratio of the High Cycle Fatigue Behaviour of Precipitate-strengthened Al Alloys
The Effect of Specimen Thickness on the Fatigue Behavior of AA7075-T651 in Low Water Vapor Environments
The Effects of Temperature and Microstructure on Slip Localization in Microtextured Ti-6Al-2Sn-4Zr-2Mo Under Dwell Fatigue
Understand the Influence of Precipitates on the Fatigue Performance of Ni50.3Ti29.7Hf20 High Temperature Shape Memory Alloys Through In Situ Heating

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