基于超声层析成像的钢坯内部缺陷检测技术研究

doi:10.3969/j.issn.1000-1158.2024.05.15

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Abstract To achieve accurate detection of internal defect morphology in billets, a priori knowledge-based ultrasonic tomographic imaging method is proposed. Firstly, the principle of fusing prior knowledge into ultrasonic tomographic imaging is elaborated, and the shortest path ray tracing method is used to improve the ultrasonic tomographic imaging. Then, the feasibility of the method is verified through finite element simulation analysis, and the acquisition scheme is discussed to determine the relevant detection parameters. Finally, an experimental detection system is built, and related validation experiments are conducted. Through processing and analyzing the imaging results of defect distribution, the results show that for the single pore defect specimen, the relative error of pore contour area is 2.84% with small position error. For the double-hole defective test block, the relative error is 5.45%, in which the hole far away from the transmitting probe has a larger position error. The method provides an idea and method for the application of ultrasonic tomography technology.

Key words： ultrasonic testing ultrasound tomography technique billet defect detection prior knowledge finite element simulation

Received: 10 May 2023 Published: 23 May 2024

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	LIU Huihe
	ZHENG Huifeng
	TANG Jiaxuan
	YAO Lei

Cite this article:

LIU Huihe,ZHENG Huifeng,TANG Jiaxuan, et al. Study on Internal Defect Detection Technology of Billet Based on Ultrasonic Tomography[J]. Acta Metrologica Sinica, 2024, 45(5): 714-721.

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http://jlxb.china-csm.org:81/Jwk_jlxb/EN/10.3969/j.issn.1000-1158.2024.05.15 OR http://jlxb.china-csm.org:81/Jwk_jlxb/EN/Y2024/V45/I5/714

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