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石端虎, 刚铁, 杨根喜, 黄传辉. 工字形激光焊件中批量缺陷定位数据的自动提取[J]. 焊接学报, 2009, (10): 49-52.
引用本文: 石端虎, 刚铁, 杨根喜, 黄传辉. 工字形激光焊件中批量缺陷定位数据的自动提取[J]. 焊接学报, 2009, (10): 49-52.
SHI Duanhu, GANG Tie, YANG Genxi, HUANG Chuanhui. Automatic extraction of locating data for bulk defects in I-shaped laser weldments[J]. TRANSACTIONS OF THE CHINA WELDING INSTITUTION, 2009, (10): 49-52.
Citation: SHI Duanhu, GANG Tie, YANG Genxi, HUANG Chuanhui. Automatic extraction of locating data for bulk defects in I-shaped laser weldments[J]. TRANSACTIONS OF THE CHINA WELDING INSTITUTION, 2009, (10): 49-52.

工字形激光焊件中批量缺陷定位数据的自动提取

Automatic extraction of locating data for bulk defects in I-shaped laser weldments

  • 摘要: 为了确定工字形焊件中批量缺陷的空间位置,采用多视角几何的方法对其进行了无损检测.提出了工字形激光焊件中小缺陷的深度与偏移量计算的数学模型,确定了精密焊缝中小缺陷的深度和偏移量.对影响缺陷定位精度的因素进行了理论分析,得出了影响缺陷定位精度的主要因素.为了实现焊件的快速检测和提高检测的鲁棒性,在缺陷分割与细化的基础上提出了缺陷投影距离自动提取的算法,并采用模拟缺陷的方法对上述算法进行了验证.结果表明,该方法是可行的.

     

    Abstract: In order to determine the spatial position of bulk defects in I-shaped weldments, multiple-view method was adopted to test it nondestructively.Mathematic models of small defect depth and deviation for laser weldments with I style were established, and the depth and deviation of small defects in precision weld were determined.Theoretical analysis was preceded on factors, which can influence the locating precision of small defects, and the main influencing factors were obtained.In order to achieve the rapid detection of laser weldments and improve the robust of detection, automatic extraction algorithm of defect projection distance was put forward on the basis of defects segmentation and thinning, and algorithm verification was carried out by using the method of simulation defect.Experimental results show that the extracted method in this paper is feasible.

     

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