Modeling of ultrasonic testing has been paid a great attention in nondestructive evaluation community since it can provide thorough understanding of underlying physics of ultrasonic testing.
In this study, new approaches to predicting angle beam and p...
Modeling of ultrasonic testing has been paid a great attention in nondestructive evaluation community since it can provide thorough understanding of underlying physics of ultrasonic testing.
In this study, new approaches to predicting angle beam and phased array ultrasonic testing signals are proposed for the reliable flaw signal identification and interpretation. Specifically, this paper present four new approaches including: 1) to verify the existing modeling method of ultrasonic testing at near critical angles, 2) to predict the angle beam ultrasonic testing signals from a surface breaking crack, 3) to calculate of phased array ultrasonic testing signals, and 4) to invoke guided wave ultrasonic testing dispersion.
The major results obtained from the present study are as follows.
1) Comparison of modeling approaches to ultrasonic testing at near critical angles
This study discusses the modeling of ultrasonic testing with oblique incidence at the near critical angles using two approaches based on either the multi-Gaussian beam or the Rayleigh-Sommerfeld integral. The theoretical models that can predict the reflection signals from side drilled cylindrical holes in solid specimen immersed in water are developed. Then, the theoretical predictions for the oblique incidence at the near critical angles are compared to the experiments for the investigation of model behavior.
2) Prediction of angle beam ultrasonic testing signals from a surface breaking crack
This study proposes a new modeling approach to predict the angle beam ultrasonic pulse-echo signals that can be captured from a surface breaking, vertical crack in a plate specimen in a computationally efficient manner. For this purpose, the 3-D multi-Gaussian beam models are adopted to describe the reflected beam fields from the crack surface and the specimen bottom surface as well as the radiating beam field from the transducer, and the geometry theory of diffraction and 2-D ray methods to calculate the diffracted beam field from the crack tip. In addition, the characteristics of the ultrasonic testing system are considered in terms of the system efficiency factor. By combining these three ingredients, the surface breaking crack signals are predicted at different interrogating positions. The accuracy of the proposed models is verified by the initial experiments.
3) Prediction of phased array ultrasonic testing signals
Very recently, it has been developed the expanded multi-Gaussian beam model that can calculate the radiation beam field from a single, rectangular transducer with great computational efficiency. In this study, this model is adopted to calculate the radiation beam field from phased array transducers with various time delays to achieve steering and/or focusing. The calculation results are compared to those obtained by well known Rayleigh-Sommerfeld integral that provides the exact solution in order to explore the validity of the expanded multi-Gaussian beam model. Also, this study proposes a complete model that can predict the phased array ultrasonic testing signals for a circular crack using the expanded multi-Gaussian beam model in a computationally efficient manner.
4) Prediction of guided wave ultrasonic testing dispersion
In this study, a new approach to obtain the dispersion curves of a bent cylindrical pipe and doughnut-shaped pipe is proposed by the combination of 3-dimensional finite element modeling and 2-dimensional Fourier transform. The transient responses of the bent pipe and doughnut-shaped pipe are calculated by using a general-purpose finite element program, and the displacements are extracted at a series of sequential points as a function of spatial position and time. Then 2-dimensional time domain data are transformed via 2-D FFT to invoke the relation between wave number and angular frequency so that the phase velocity and group velocity can be calculated. In addition, verification of the result is made by the mode identification using wavelet transform. The modes determined by both methods agree very well.