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用于可变直径圆柱形部件的频域合成孔径聚焦技术

Frequency domain synthetic aperture focusing technique for variable-diameter cylindrical components.

作者信息

Jin Haoran, Wu Eryong, Han Ye, Yang Keji, Chen Jian

机构信息

State Key Laboratory of Fluid Power and Mechatronic Systems, Zhejiang University, 38 Zheda Road, Westlake District, Hangzhou 310027, China.

School of Mechanical and Aerospace Engineering, Nanyang Technological University, 50 Nanyang Avenue, 639798, Singapore, Singapore.

出版信息

J Acoust Soc Am. 2017 Sep;142(3):1554. doi: 10.1121/1.5003650.

Abstract

Ultrasonic non-destructive testing (UNDT) plays an important role in ensuring the quality of cylindrical components of equipment such as pipes and axles. As the acoustic beam width widens along propagation depths, the diffraction of acoustic wave becomes serious and the images of defects will be interfered with. To precisely evaluate the dimensions of defects and flaws concealed in components, the synthetic aperture focusing technique (SAFT) is introduced to enhance the image resolutions. Conventional SAFTs have been successfully implemented for the ultrasonic imaging of normal cylinders, while solutions for complex ones, such as variable-diameter cylinders, are still lacking. To overcome this problem, a frequency-domain SAFT for variable-diameter cylindrical components is proposed. This algorithm is mainly based on acoustic field extrapolation, which is modified from cylindrical phase shift migration with the aid of split-step Fourier. After a series of extrapolations, a high-resolution ultrasound image can be reconstructed using a particular imaging condition. According to the experimental results, the proposed method yields low side lobes and high resolutions for flat transducers. Its attainable angular resolution relies on the transducer diameter D and scanning radius R and approximates D/(2R).

摘要

超声无损检测(UNDT)在确保管道和轴等设备圆柱形部件的质量方面发挥着重要作用。由于声束宽度沿传播深度变宽,声波的衍射变得严重,缺陷图像会受到干扰。为了精确评估部件中隐藏的缺陷和瑕疵的尺寸,引入了合成孔径聚焦技术(SAFT)来提高图像分辨率。传统的SAFT已成功应用于普通圆柱体的超声成像,但对于诸如变径圆柱体等复杂圆柱体的解决方案仍然缺乏。为了克服这个问题,提出了一种用于变径圆柱形部件的频域SAFT。该算法主要基于声场外推,它是借助分步傅里叶对圆柱相移偏移进行修改得到的。经过一系列外推后,可使用特定的成像条件重建高分辨率超声图像。根据实验结果,该方法对于平面换能器具有低旁瓣和高分辨率。其可达到的角分辨率取决于换能器直径D和扫描半径R,近似为D/(2R)。

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