...
首页> 外文期刊>China welding >Weld pool boundary and weld bead shape reconstruction based on passive vision in P-GMAW
【24h】

Weld pool boundary and weld bead shape reconstruction based on passive vision in P-GMAW

机译:基于被动视觉的P-GMAW焊池边界及焊缝形状重构

获取原文
获取原文并翻译 | 示例
           

摘要

A passive visual sensing system is established in this research, and clear weld pool images in pulsed gas metal arc welding (P-GMAW) can be captured with this system. The three-dimensional weld pool geometry, especially the weld height, is not only a crucial factor in determining workpiece mechanical properties, but also an important parameter for reflecting the penetration. A new three-dimensional (3D) model is established to describe the weld pool geometry in P-GMAW. Then, a series of algorithms are developed to extract the model geometrical parameters from the weld pool images. Furthermore, the method to reconstruct the 3D shape of weld pool boundary and weld bead from the two-dimensional images is investigated.
机译:本研究建立了一个被动视觉系统,该系统可以捕获脉冲气体保护金属电弧焊(P-GMAW)中清晰的焊缝图像。三维焊池几何形状,尤其是焊缝高度,不仅是决定工件机械性能的关键因素,而且还是反映熔深的重要参数。建立了一个新的三维(3D)模型来描述P-GMAW中的焊缝几何形状。然后,开发了一系列算法来从焊池图像中提取模型几何参数。此外,研究了从二维图像重建焊缝边界和焊缝3D形状的方法。

著录项

相似文献

  • 外文文献
  • 中文文献
  • 专利
获取原文

客服邮箱:kefu@zhangqiaokeyan.com

京公网安备:11010802029741号 ICP备案号:京ICP备15016152号-6 六维联合信息科技 (北京) 有限公司©版权所有
  • 客服微信

  • 服务号