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Development of an auto-welding system for CRD nozzle repair welds using a 3D laser vision sensor

机译:使用3D激光视觉传感器开发用于CRD喷嘴修复焊缝的自动焊接系统

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摘要

A control rod device (CRD) nozzle attaches to the hemispherical surface of a reactor head with J-groove welding. Primary water stress corrosion cracking (PWSCC) causes degradation in these welds, which requires that these defect areas be repaired. To perform this repair welding automatically on a complicated weld groove shape, an auto-welding system was developed incorporating a laser vision sensor that measures the 3-dimensional (3D) shape of the groove and a weld-path creation program that calculates the weld-path parameters. Welding trials with a J-groove workpiece were performed to establish a basis for developing this auto-welding system. Because the reactor head is placed on a lay down support, the outer-most region of the CRD nozzle has restricted access. Due to this tight space, several parameters of the design, such as size, weight and movement of the auto-welding system, had to be carefully considered. The cross section of the J-groove weld is basically an oval shape where the included angle of the J-groove ranges from 0 to 57 degrees. To measure the complex shape, we used double lasers coupled to a single charge coupled device (CCD) camera. We then developed a program to generate the weld-path parameters using the measured 3D shape as a basis. The program has the ability to determine the first and final welding positions and to calculate all weld-path parameters. An optimized image-processing algorithm was applied to resolve noise interference and diffused reflection of the joint surfaces. The auto-welding system is composed of a 4-axis manipulator, gas tungsten arc welding (GTAW) power supply, an optimized designed and manufactured GTAW torch and a 3D laser vision sensor. Through welding trials with 0 and 38-degree included-angle workpieces with both J-groove and U-groove weld, the performance of this auto-welding system was qualified for field application.
机译:控制棒装置(CRD)喷嘴通过J形槽焊接固定在反应堆头部的半球形表面上。初次水应力腐蚀开裂(PWSCC)导致这些焊缝退化,这需要修复这些缺陷区域。为了在复杂的焊接坡口形状上自动执行此修复焊接,开发了一种自动焊接系统,该系统结合了激光视觉传感器(可测量坡口的3D(3D)形状)和焊接路径创建程序,该程序可计算出路径参数。进行了J型槽工件的焊接试验,为开发这种自动焊接系统奠定了基础。由于反应堆头放置在放下的支撑物上,因此CRD喷嘴的最外部区域访问受限。由于空间狭小,必须仔细考虑设计的几个参数,例如尺寸,重量和自动焊接系统的运动。 J型坡口焊缝的横截面基本上为椭圆形,其中J型坡口的夹角范围为0到57度。为了测量复杂的形状,我们使用了与单电荷耦合器件(CCD)相机耦合的双激光器。然后,我们开发了一个程序,以测量的3D形状为基础生成焊接路径参数。该程序可以确定第一个和最后一个焊接位置并计算所有焊接路径参数。一种优化的图像处理算法被应用于解决噪声干扰和关节表面的漫反射。自动焊接系统由4轴机械手,气体钨极电弧焊(GTAW)电源,经过优化设计和制造的GTAW焊炬以及3D激光视觉传感器组成。通过对带有J型槽和U型槽焊缝的0度和38度夹角工件的焊接试验,该自动焊接系统的性能符合现场应用的要求。

著录项

  • 来源
    《Journal of Mechanical Science and Technology》 |2007年第10期|1720-1725|共6页
  • 作者单位

    Corporate RampampD Institute Doosan Heavy Industries ampamp Construction Co. Ltd Changwon Korea;

    Corporate RampampD Institute Doosan Heavy Industries ampamp Construction Co. Ltd Changwon Korea;

    Corporate RampampD Institute Doosan Heavy Industries ampamp Construction Co. Ltd Changwon Korea;

    Precision Mechanical Engineering Hanyang University Seoul Korea;

    Precision Mechanical Engineering Hanyang University Seoul Korea;

    Precision Mechanical Engineering Hanyang University Seoul Korea;

  • 收录信息
  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类
  • 关键词

    Laser vision sensor; Welding path creation; CRD nozzle;

    机译:激光视觉传感器;焊接路径创建;CRD喷嘴;

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