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

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

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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.

Internal quality of billetsUltrasonic testingScanning acoustic microscopeLayered characterizationThree-dimensional reconstruction

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

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School of Mechanical Engineering,University of Science and Technology Beijing,Beijing 100083,China

Collaborative Innovation Center of Steel Technology,University of Science and Technology Beijing,Beijing 100083,China

2024

钢铁研究学报(英文版)
钢铁研究总院

钢铁研究学报(英文版)

CSTPCD
影响因子:0.584
ISSN:1006-706X
年,卷(期):2024.31(11)