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Meeting 2022 TMS Annual Meeting & Exhibition
Symposium Structural Metamaterials
Presentation Title Design of 2D-Mechanical Metamaterials with Spinodal Topologies
Author(s) Kiara McMillan, Doğacan Öztürk, Pinar Acar
On-Site Speaker (Planned) Kiara McMillan
Abstract Scope This study investigates the design of a subset of mechanical metamaterials that demonstrate enhanced material performance through their spinodal topologies. They are generated through spinodal decomposition modeled by the Cahn–Hilliard equation. Instead of utilizing the inefficient method of modeling this time-dependent equation, formulation introduced by Kumar and co-workers, which uses Gaussian random fields to generate a special form of spinodal microstructures called spinodoids, is followed. With this approach, 2D-spinodoid images are generated by controlling their topology with orientation parameters. Principal Component Analysis (PCA) is applied to reduce the high dimensionality of this image representation and present an efficient means of characterizing this dataset. Physics-based simulations will be conducted to determine the homogenized mechanical properties as a function of the spinodoid topology. After characterizing the generated spinodoids, an inverse problem with uncertainty will be considered to find the corresponding 2D-spinodoid that provide prescribed values of properties using the PCA representation.
Proceedings Inclusion? Planned:
Keywords Characterization, Phase Transformations, Other

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Architectured Bioinspired Alumina with a Metallic Nickel Compliant-phase
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Combined Effects of Heterogeneity and Length-scale on Mechanical Properties of Lattice Metamaterials
Controlling Failure with Fractal Chiral Metamaterials
Design of 2D-Mechanical Metamaterials with Spinodal Topologies
Engineering Splat Based Features for Improved Damage Tolerance in Brittle Metamaterials
Exceptional Mechanical Properties of Additively Manufactured Nano-architected Materials with Complex Topologies
Flexibly Tunable Yet Strong Gear-based Mechanical Metamaterials
G-32: Coated Nano- and Micro-lattices via Magnetron Sputtering
G-33: Gaussian Process Regression as a Surrogate Model for the Computation of Dispersion Relations
High-stiffness Metamaterial Composite Structure with Plate Reinforced Strut-microlattice
Interpenetrating Chain Lattices with Tailorable Energy Absorption in Tension
Investigation on Mechanical Properties of Honeycomb-based Cellular Solids and Cylindrical Shells with Structural Hierarchy
Large-strain Compressive Response and Failure Mechanisms of Additively Manufactured Cubic Chiral Lattices
Machine Learning Design of Dynamic/Impact Behaviors
Machine Learning of Symbolic Expressions to Model Dispersion Curves in Metamaterials
Phase Field Modeling of Crack Propagation, Deflection and Delamination in Engineered Interfaces
Seeing Beneath the Surface: Estimating Interior Material Properties with Visual Vibration Tomography
Sensitivity and Uncertainty Quantification Analysis in Phononic Metamaterials through Complex-Variable Finite Element Method
Single Test Evaluation and Design of Directional Elastic Properties in Anisotropic Materials
Structural Locking in Multimodal Origami Metamaterials
Topological States and Bandgaps in Dimerized Minimal Surfaces
Viscoelastic Dynamics of Polymeric Phononic Materials

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