Qianghua Pan
Current Organizations / Institutes
The organizations/institutes from the scholar's latest article
Research Subjects
Qianghua Pan has a total of 7 co-authors. Here are the top co-authors by number of shared publications:
- Haiyang Li
Shanghai Acoustics Laboratory, Chinese Academy of Sciences, Shanghai 201815, China
1 shared publication - Haiyang Li
Key Laboratory of Information Detection and Processing, North University of China, Taiyuan 030051, China
1 shared publication - Jin Deng
China Special Equipment Inspection and Research Institute, Beijing 100029, China
1 shared publication - Pengfei Wang
School of Information and Communication Engineering, North University of China, Taiyuan 030051, China
1 shared publication - Rui Zhang
School of Mechanical Science and Engineering, Huazhong University of Science and Technology, Wuhan 430074, China
1 shared publication - Yihao Liu
School of Basic Medical Sciences, Central South University, Changsha 410028, China
1 shared publication
Latest Publications
- Open Access
Quantitative Angle Measurement of the Inclined Surface Crack Based on Laser Ultrasonics
To measure the angles of oblique surface cracks on a specimen, the method of using the time difference between the reflected and scattered waves generated by the interaction of the surface waves and the crack is proposed. Based on the reflection and scattering waves’ paths at the surface crack, an analytical equation that involves the crack depth, width, and inclined angle is developed. On the basis of establishing the ratio of width to depth, ∆t-φ curves and estimated error images without the width term can be analyzed in detail. The finite element simulation and experimental results for aluminum alloy samples show that a crack’s angle can be detected using the time difference method. The effects of the width term in the analytical equation on the estimated angles of the surface cracks are also verified. Measurement of the quantitative angle of inclined surface cracks is first regarded as a multiparameter inversion problem. The simulation and the experimental discussion of the interrelation between the depth, width, and angle of the inclined surface crack in this work are very meaningful for quantitative determination using laser ultrasound.
Open AccessQuantitative Angle Measurement of the Inclined Surface Crack Based on Laser Ultrasonics
To measure the angles of oblique surface cracks on a specimen, the method of using the time difference between the reflected and scattered waves generated by the interaction of the surface waves and the crack is proposed. Based on the reflection and scattering waves’ paths at the surface crack, an analytical equation that involves the crack depth, width, and inclined angle is developed. On the basis of establishing the ratio of width to depth, ∆t-φ curves and estimated error images without the width term can be analyzed in detail. The finite element simulation and experimental results for aluminum alloy samples show that a crack’s angle can be detected using the time difference method. The effects of the width term in the analytical equation on the estimated angles of the surface cracks are also verified. Measurement of the quantitative angle of inclined surface cracks is first regarded as a multiparameter inversion problem. The simulation and the experimental discussion of the interrelation between the depth, width, and angle of the inclined surface crack in this work are very meaningful for quantitative determination using laser ultrasound.
- Open Access
- 13 August 2022
- Published by MDPI AG in Applied Sciences
- Vol. 12 (16) , 8124
Depth and Angle Evaluation of Oblique Surface Cracks Using a Support Vector Machine Based on Seven Parameters
To intelligently and quickly verify the depths and angles of oblique surface cracks using the laser ultrasound technique, a crack geometry information evaluation method using a support vector machine (SVM) is proposed. The relationships between several parameters—which are based on transmitted waves and reflected waves containing crack geometry information in the time domain, frequency domain and time–frequency domain, and crack size—are presented in detail. To decide which feature parameters are involved in the SVM model, two selection standards are proposed according to the correlations between feature parameters and crack size and between the feature parameters themselves. Finally, a seven-feature-parameter SVM model which has an excellent ability to classify oblique crack depths and angles is built. The results of simulations using the finite element method (FEM) and experimental data show that seven parameters based on the SVM model are available for the oblique surface crack depth and angle evaluation and can be used to nondestructively detect natural cracks.
- 13 August 2022
- Published by MDPI AG in Applied Sciences
- Vol. 12 (16) , 8124
Open AccessDepth and Angle Evaluation of Oblique Surface Cracks Using a Support Vector Machine Based on Seven Parameters
To intelligently and quickly verify the depths and angles of oblique surface cracks using the laser ultrasound technique, a crack geometry information evaluation method using a support vector machine (SVM) is proposed. The relationships between several parameters—which are based on transmitted waves and reflected waves containing crack geometry information in the time domain, frequency domain and time–frequency domain, and crack size—are presented in detail. To decide which feature parameters are involved in the SVM model, two selection standards are proposed according to the correlations between feature parameters and crack size and between the feature parameters themselves. Finally, a seven-feature-parameter SVM model which has an excellent ability to classify oblique crack depths and angles is built. The results of simulations using the finite element method (FEM) and experimental data show that seven parameters based on the SVM model are available for the oblique surface crack depth and angle evaluation and can be used to nondestructively detect natural cracks.