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Hongwei Hu
College of Automotive and Mechanical Engineering, Changsha University of Science and Technology, Changsha Hunan 410114, China

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Journal article
Published: 12 November 2020 in Measurement
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Efficient and accurate nondestructive testing of surface or sub-surface flaws is essential for metal components. This study focuses on the high-quality image reconstruction of these flaws. An imaging detection method is introduced which combines the leaky Rayleigh waves testing and the synthetic aperture focusing technique (SAFT) with an immersion pulse-echo scanning. The principal component analysis (PCA) is used to reduce the noise of the leaky Rayleigh waves, and then the imaging is obtained using the SAFT algorithm. The experimental results show that the PCA-SAFT imaging method can reduce structural noise and imaging artifacts comparing with the B-scan imaging method. The lateral resolution of defects is improved and the mean error of defects sizing can be reduced by 48.81%. The signal-to-noise ratio (SNR) and contrast-to-noise ratio (CNR) of the ultrasonic image are increased by 6.95 dB and 4.20 dB respectively. The proposed method can be a new choice for effective evaluating the surface quality of key components.

ACS Style

Xiaowei Shen; Hongwei Hu; Xiongbing Li; Shan Li. Study on PCA-SAFT imaging using leaky Rayleigh waves. Measurement 2020, 170, 108708 .

AMA Style

Xiaowei Shen, Hongwei Hu, Xiongbing Li, Shan Li. Study on PCA-SAFT imaging using leaky Rayleigh waves. Measurement. 2020; 170 ():108708.

Chicago/Turabian Style

Xiaowei Shen; Hongwei Hu; Xiongbing Li; Shan Li. 2020. "Study on PCA-SAFT imaging using leaky Rayleigh waves." Measurement 170, no. : 108708.

Journal article
Published: 29 July 2019 in Sensors
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Porosity is an important characteristic of porous material, which affects mechanical and material properties. In order to solve the problem that the large distribution range of pore size of porous materials leads to the large detection errors of porosity, the non-linear ultrasonic testing technique is applied. A graphite composite was used as the experimental object in the study. As the accuracy of porosity is directly related with feature extraction, the dynamic wavelet fingerprint (DWFP) technology was utilized to extract the feature parameter of the ultrasonic signals. The effects of the wavelet function, scale factor, and white slice ratio on the extraction of the nonlinear feature are discussed. The SEM photos were conducted using gray value to identify the aperture. The relationship between pore diameter and detection accuracy was studied. Its results show that the DWFP technology could identify the second harmonic component well, and the extracted nonlinear feature could be used for the quantitative trait of porosity. The larger the proportion of the small diameter holes and the smaller the aperture distribution range was, the smaller the error was. This preliminary research aimed to improve the nondestructive testing accuracy of porosity and it is beneficial to the application of porous material in the manufacturing field.

ACS Style

Xianghong Wang; Chenglong He; Wei Xie; Hongwei Hu. Preliminary Research on the Nonlinear Ultrasonic Detection of the Porosity of Porous Material Based on Dynamic Wavelet Fingerprint Technology. Sensors 2019, 19, 3328 .

AMA Style

Xianghong Wang, Chenglong He, Wei Xie, Hongwei Hu. Preliminary Research on the Nonlinear Ultrasonic Detection of the Porosity of Porous Material Based on Dynamic Wavelet Fingerprint Technology. Sensors. 2019; 19 (15):3328.

Chicago/Turabian Style

Xianghong Wang; Chenglong He; Wei Xie; Hongwei Hu. 2019. "Preliminary Research on the Nonlinear Ultrasonic Detection of the Porosity of Porous Material Based on Dynamic Wavelet Fingerprint Technology." Sensors 19, no. 15: 3328.

Journal article
Published: 05 June 2018 in Sensors
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The ultrasonic phased array total focusing method (TFM) has the advantages of full-range dynamic focusing and high imaging resolution, but the problem of long imaging time limits its practically industrial applications. To reduce the imaging calculation demand of TFM, the locations of active array elements in the sparse array are optimized by combining almost different sets with the genetic algorithm (ADSGA), and corrected based on the consistency of the effective aperture with the equivalent point diffusion function. At the same time, to further increase the imaging efficiency, a sparse-TFM image with lower resolution is obtained by reducing the number of focus points and then interpolated by the new edge-directed interpolation algorithm (NEDI) to obtain a high quality sparse-TFM image. Compared with TFM, the experimental results show that the quantitative accuracy of the proposed method is only decreased by 1.09% when the number of sparse transmitting elements reaches 8 for a 32-element transducer, and the imaging speed is improved by about 16 times with the same final pixel resolution.

ACS Style

Hongwei Hu; Jian Du; Chengbao Ye; Xiongbing Li. Ultrasonic Phased Array Sparse-TFM Imaging Based on Sparse Array Optimization and New Edge-Directed Interpolation. Sensors 2018, 18, 1830 .

AMA Style

Hongwei Hu, Jian Du, Chengbao Ye, Xiongbing Li. Ultrasonic Phased Array Sparse-TFM Imaging Based on Sparse Array Optimization and New Edge-Directed Interpolation. Sensors. 2018; 18 (6):1830.

Chicago/Turabian Style

Hongwei Hu; Jian Du; Chengbao Ye; Xiongbing Li. 2018. "Ultrasonic Phased Array Sparse-TFM Imaging Based on Sparse Array Optimization and New Edge-Directed Interpolation." Sensors 18, no. 6: 1830.

Journal article
Published: 09 February 2018 in Coatings
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When magnesium alloys are tested using ultrasonic techniques, their oxide coating will affect the transmitted ultrasonic energy and the accuracy of the flaw sizing. In this work, the effects of the coating thickness on the flaw sizing are investigated. An ultrasonic measurement model is employed to predict the flaw response signal, and the reflected and transmitted ultrasonic energy in the coated surface are corrected by modifying the reflection and transmission coefficients related to the effects of the coating thickness. The effectiveness of these coefficients and the ultrasonic measurement model are verified through experiments. With the correction of the coating thickness effects, the flaw-sizing curves predicted using the ultrasonic measurement model are provided. The flaws in magnesium alloy specimens with different coating thicknesses are tested, and the determined flaw sizes from these curves agree well with the actual sizes, which reveals the effectiveness of the proposed work. This work provides an effective tool to improve the flaw sizing performance using ultrasonic techniques in practical applications.

ACS Style

Xiujuan Miao; Xiongbing Li; Hongwei Hu; Guangjun Gao; Shuzeng Zhang. Effects of the Oxide Coating Thickness on the Small Flaw Sizing Using an Ultrasonic Test Technique. Coatings 2018, 8, 69 .

AMA Style

Xiujuan Miao, Xiongbing Li, Hongwei Hu, Guangjun Gao, Shuzeng Zhang. Effects of the Oxide Coating Thickness on the Small Flaw Sizing Using an Ultrasonic Test Technique. Coatings. 2018; 8 (2):69.

Chicago/Turabian Style

Xiujuan Miao; Xiongbing Li; Hongwei Hu; Guangjun Gao; Shuzeng Zhang. 2018. "Effects of the Oxide Coating Thickness on the Small Flaw Sizing Using an Ultrasonic Test Technique." Coatings 8, no. 2: 69.

Journal article
Published: 01 July 2017 in Ultrasonics
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Surface roughness of a sample has a great effect on the calculated grain size when measurements are based on ultrasonic attenuation. Combining modified transmission and reflection coefficients at the rough interface with a Multi-Gaussian beam model of the transducer, a comprehensive correction scheme for the attenuation coefficient is developed. An approximate inverse model of the calculated attenuation, based on Weaver's diffuse scattering theory, is established to evaluate grain size in polycrystals. The experimental results showed that for samples with varying surface roughness and matching microstructures, the fluctuation of evaluated average grain size was ±1.17μm. For polished samples with different microstructures, the relative errors to optical microscopy were no more than ±3.61%. The presented method provides an effective nondestructive tool for evaluating the grain size in metals with rough surfaces.

ACS Style

Xiongbing Li; Xiaoqin Han; Andrea P. Arguelles; Yongfeng Song; Hongwei Hu. Evaluating grain size in polycrystals with rough surfaces by corrected ultrasonic attenuation. Ultrasonics 2017, 78, 23 -29.

AMA Style

Xiongbing Li, Xiaoqin Han, Andrea P. Arguelles, Yongfeng Song, Hongwei Hu. Evaluating grain size in polycrystals with rough surfaces by corrected ultrasonic attenuation. Ultrasonics. 2017; 78 ():23-29.

Chicago/Turabian Style

Xiongbing Li; Xiaoqin Han; Andrea P. Arguelles; Yongfeng Song; Hongwei Hu. 2017. "Evaluating grain size in polycrystals with rough surfaces by corrected ultrasonic attenuation." Ultrasonics 78, no. : 23-29.