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双面T形焊件中单侧投影重合缺陷的自动判别方法

石端虎, 刚铁, 赵洪枫, 杨峰, 何敏

石端虎, 刚铁, 赵洪枫, 杨峰, 何敏. 双面T形焊件中单侧投影重合缺陷的自动判别方法[J]. 焊接学报, 2019, 40(4): 46-49. DOI: 10.12073/j.hjxb.2019400098
引用本文: 石端虎, 刚铁, 赵洪枫, 杨峰, 何敏. 双面T形焊件中单侧投影重合缺陷的自动判别方法[J]. 焊接学报, 2019, 40(4): 46-49. DOI: 10.12073/j.hjxb.2019400098
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SHI Duanhu, GANG Tie, ZHAO Hongfeng, YANG Feng, HE Min. Automatic discrimination method of unilateral projection overlap defects in double T style weldments[J]. TRANSACTIONS OF THE CHINA WELDING INSTITUTION, 2019, 40(4): 46-49. DOI: 10.12073/j.hjxb.2019400098
Citation: SHI Duanhu, GANG Tie, ZHAO Hongfeng, YANG Feng, HE Min. Automatic discrimination method of unilateral projection overlap defects in double T style weldments[J]. TRANSACTIONS OF THE CHINA WELDING INSTITUTION, 2019, 40(4): 46-49. DOI: 10.12073/j.hjxb.2019400098
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双面T形焊件中单侧投影重合缺陷的自动判别方法

  • 1. 徐州工程学院 机电工程学院，徐州　221018;

  • 2. 哈尔滨工业大学 先进焊接与连接国家重点实验室，哈尔滨　150001;

  • 3. 河南理工大学 材料科学与工程学院，焦作　454000

基金项目: 

国家自然科学基金项目(51401177)；江苏省自然科学基金面上项目(BK20141143)；江苏省高校自然科学研究基金重大项目(16KJA430003)

详细信息
    作者简介:

    石端虎，男，1973年出生，博士，教授. 主要从事焊缝无损检测和焊接材料优化设计方面的研究. 发表论文40余篇. Email: shiduanhu@126.com

  • 中图分类号: TG 409

Automatic discrimination method of unilateral projection overlap defects in double T style weldments

  • 1. School of Electromechanical Engineering, Xuzhou University of Technology, Xuzhou 221018, China;

  • 2. State Key Laboratory of Advanced Welding and Joining, Harbin Institute of Technology, Harbin 150001, China;

  • 3. School of Materials Science and Engineering, Henan Polytechnic University, Jiaozuo 454000, China

摘要

    摘要
  • 摘要: 为了实现双面T形焊件中单侧投影重合缺陷空间位置数据的自动提取，在原有自动判别准则的基础上提出了单侧投影重合缺陷的自动判别方法. 该方法首先对焊件左转或右转射线检测图像进行逐行搜索，通过采用缺陷中心点距图像上端距离相同的方法找出单侧投影重合的缺陷，然后通过对比单侧投影重合缺陷的左右投影距离，判别重合缺陷在焊件内部的深度位置，从而将重合缺陷区分出来. 采用提出的方法对实际焊件中的单侧投影重合缺陷进行了自动判别，试验结果表明提出的方法是可行的.
    Abstract: In order to achieve the automatic extraction of spatial location data for unilateral projection overlap defects in double T style weldments, the automatic discrimination method of unilateral projection overlap defects was put forward on the basis of original automatic discriminant criterion. Firstly, line by line search was carried out towards X-ray detection images of weldments left turning or right turning, and the unilateral projection overlap defects were found by using the method of the same distance from defect center point to the upper end of the image, then the depth location of overlap defects were judged by comparing the left or right projection distance of unilateral projection overlap defects, and the overlap defects were discriminated. The automatic discrimination of unilateral projection overlap defects in actual weldments was carried out, and the experimental results show that the provided method is feasible.
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    • 参考文献(14)
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出版历程
  • 收稿日期:  2017-12-05

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