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Wave propagation in highly anisotropic polycrystals: A numerical perspective from an unstructured-mesh-based
Shaojie Gong1, Shifeng Guo2, Yi Xiong3
1School of Robotics and Advanced Manufacturing, Harbin Institute of Technology, Shenzhen 518055, PR China.
This study introduces an improved high-order unstructured mesh method for accurately simulating ultrasonic wave propagation in complex, anisotropic polycrystals. This approach enhances computational efficiency and accuracy for characterizing material grain structures.
Area of Science:
- Materials Science
- Computational Mechanics
- Non-Destructive Testing
Background:
- Ultrasonic non-destructive testing (NDT) is crucial for characterizing polycrystalline materials.
- Accurate modeling of ultrasound propagation in highly anisotropic polycrystals with complex grain boundaries remains challenging.
- Existing numerical methods often require dense meshes or lack mature analytical formulations for strong wave scattering.
Purpose of the Study:
- To develop and validate a novel high-order unstructured mesh method for accurate ultrasonic wave propagation simulation.
- To address limitations in modeling wave scattering in anisotropic polycrystals.
- To improve the computational efficiency and accuracy of NDT simulations.
Main Methods:
- Constructed polycrystalline geometry using Voronoi-based tessellation.
- Employed an explicit dynamics solution with high-order mass-lumped unstructured elements with internal nodes.
- Compared simulation results against structured meshes and modified analytical models.
Main Results:
- The proposed high-order mass-lumped unstructured elements accurately represent complex grain boundary geometry.
- Significant enhancements in computational efficiency and accuracy were observed compared to traditional methods.
- Simulated ultrasonic attenuation and phase velocity showed good agreement with analytical and structured mesh results.
Conclusions:
- The developed high-order mass-lumped unstructured mesh method effectively simulates ultrasonic wave propagation in anisotropic polycrystals.
- This method offers a more accurate and efficient approach for NDT applications.
- The findings confirm the method's effectiveness for characterizing grain features in complex materials.
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