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Published on: May 23, 2017
Wavefront estimation in curved-fiber CFRP: A curved Fastest-Path Distribution method for smoothly varying anisotropic
Takeshi Ashizawa1, Yoshihiro Mizutani2, Nobuyuki Toyama3
1Department of Systems and Control Engineering, School of Engineering, Institute of Science Tokyo, 2-12-1 Ookayama, Meguro-ku, 152-8550, Tokyo, Japan.
A new Fastest-Path Distribution (FPD) method accurately predicts ultrasonic wavefronts in curved-fiber carbon fiber reinforced plastics (CFRP). This advancement enhances nondestructive testing capabilities for complex composite materials.
Area of Science:
- Materials Science
- Acoustics
- Composite Materials
Background:
- Carbon Fiber Reinforced Plastics (CFRP) exhibit complex anisotropic properties.
- Accurate ultrasonic wavefront prediction is crucial for nondestructive testing (NDT) of composite materials.
- Existing ray tracing methods struggle with smoothly varying anisotropy in curved structures.
Purpose of the Study:
- To propose a novel wavefront estimation method for curved-fiber CFRP with smoothly varying anisotropy.
- To develop a computationally efficient and accurate technique for predicting ultrasonic wave propagation.
- To validate the proposed method through experimental optical visualization.
Main Methods:
- Developed the Fastest-Path Distribution (FPD) Method based on geometrical acoustics.
- Treated material anisotropy as a continuous field.
- Represented wave trajectories using spline-interpolated curves for curved paths.
- Validated through optical visualization experiments on 3D-printed CFRP plates.
Main Results:
- The FPD method accurately predicted ultrasonic wavefronts in curved-fiber CFRP.
- Predicted wavefronts showed good agreement with experimental observations.
- The method demonstrated efficiency in handling complex anisotropic media.
Conclusions:
- The FPD method provides accurate and efficient wavefront prediction for curved-fiber CFRP.
- This technique supports advanced NDT applications for complex composite structures.
- The study highlights the utility of geometrical acoustics in modeling wave propagation in anisotropic materials.
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