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3D Center Segregation Reconstruction of Steel Continuous Casting Slab
Author(s) -
Xiao Ruoxiu,
Wang Jiayu,
Xie Xinyi,
Guo Fujian,
Li Xiucheng
Publication year - 2019
Publication title -
steel research international
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.603
H-Index - 49
eISSN - 1869-344X
pISSN - 1611-3683
DOI - 10.1002/srin.201900254
Subject(s) - slab , materials science , distortion (music) , casting , ultrasonic sensor , plane (geometry) , continuous casting , volume (thermodynamics) , measure (data warehouse) , geometry , composite material , structural engineering , acoustics , computer science , engineering , mathematics , amplifier , physics , optoelectronics , cmos , quantum mechanics , database
The traditional detection method of the center segregation is limited to quantitatively evaluate the quality of steel casting slab, as it is observed in a 2D plane. Herein, a 3D reconstruction method of center segregation in steel slab is proposed. First, the ultrasonic scanning technology is used to scan the faults of layered and hot‐acid‐etched steel samples to obtain the sequence ultrasonic images. Second, the structures of segregation defects in each slice are segmented by an iterative threshold method. Then, image distortion is corrected and aligned to the same physical space. Finally, the 3D structure of segregation defects is reconstructed. A 70 mm × 30 mm × 2 mm sample of steel casting slab, which grinded with each 0.5 mm, is tested for evaluation, and experimental results show that the proposed method can accurately extract the structure of segregation defects. Based on the proposed method, its structure in 3D space is not only directly observed but also the volume (29.32 mm 3 ) and surface area (649.48 mm 2 ) of defects are calculated to measure the quality of steel slab more accurately. Therefore, it provides a new way to evaluate the steel‐slab quality.