Assessment of internal quality of billets using ultrasonic three-dimensional layered characterization

Yan-bo Liu, Min Li, Zheng Zhao, Zhong-xin Wang, De-bin Yang
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Abstract

To address the challenge of visualizing internal defects within castings, ultrasonic nondestructive testing technology has been introduced for the detection and characterization of internal defects in castings. Ultrasonic testing is widely utilized for detecting and characterizing internal defects in materials, thanks to its strong penetration ability, wide testing area, and fast scanning speed. However, traditional ultrasonic testing primarily relies on one-dimensional waveforms or two-dimensional images to analyze internal defects in billets, which hinders intuitive characterization of defect quantity, size, spatial distribution, and other relevant information. Consequently, a three-dimensional (3D) layered characterization method of billets internal quality based on scanning acoustic microscope (SAM) is proposed. The method starts with a layered focus scanning of the billet using SAM and pre-processing the obtained sequence of ultrasonic images. Next, the ray casting is employed to reconstruct 3D shape of defects in billets, allowing for characterization of their quality by obtaining characteristic information on defect spatial distributions, quantity, and sizes. To validate the effectiveness of the proposed method, specimens of 42CrMo billets are prepared using five different processes, and the method is employed to evaluate their internal quality. Finally, a comparison between the ultrasonic image and the metallographic image reveals a difference in dimensional accuracy of only 2.94%. The results indicate that the new method enables visualization of internal defect information in billets, serving as a valuable complement to the traditional method of characterizing their internal quality.

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利用超声波三维分层表征评估钢坯内部质量
为了应对铸件内部缺陷可视化的挑战,人们引入了超声波无损检测技术,用于检测和表征铸件内部缺陷。超声波检测具有穿透能力强、检测范围广、扫描速度快等优点,被广泛应用于材料内部缺陷的检测和表征。然而,传统的超声波检测主要依靠一维波形或二维图像来分析铸坯内部缺陷,这阻碍了对缺陷数量、尺寸、空间分布和其他相关信息的直观表征。因此,我们提出了一种基于扫描声学显微镜(SAM)的钢坯内部质量三维(3D)分层表征方法。该方法首先使用 SAM 对钢坯进行分层聚焦扫描,并对获得的超声波图像序列进行预处理。然后,利用射线铸造技术重建钢坯缺陷的三维形状,通过获取缺陷空间分布、数量和尺寸的特征信息来鉴定钢坯质量。为了验证所提方法的有效性,使用五种不同的工艺制备了 42CrMo 方坯试样,并使用该方法对其内部质量进行了评估。最后,通过比较超声波图像和金相图像,发现两者的尺寸精度仅相差 2.94%。结果表明,新方法可实现钢坯内部缺陷信息的可视化,是对表征钢坯内部质量的传统方法的重要补充。
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来源期刊
自引率
16.00%
发文量
161
审稿时长
2.8 months
期刊介绍: Publishes critically reviewed original research of archival significance Covers hydrometallurgy, pyrometallurgy, electrometallurgy, transport phenomena, process control, physical chemistry, solidification, mechanical working, solid state reactions, materials processing, and more Includes welding & joining, surface treatment, mathematical modeling, corrosion, wear and abrasion Journal of Iron and Steel Research International publishes original papers and occasional invited reviews on aspects of research and technology in the process metallurgy and metallic materials. Coverage emphasizes the relationships among the processing, structure and properties of metals, including advanced steel materials, superalloy, intermetallics, metallic functional materials, powder metallurgy, structural titanium alloy, composite steel materials, high entropy alloy, amorphous alloys, metallic nanomaterials, etc..
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