Mapping of Bead Geometry in Wire Arc Additive Manufacturing Systems Using Passive Vision
参考中译:基于被动视觉的弧焊添加剂制造系统中焊道几何形状的映射


          

刊名：Journal of control, automation and electrical systems
作者：Couto, Marcus O.（Univ Fed Rio de Janeiro）
Rodrigues, Arthur G.（Univ Fed Rio de Janeiro）
Coutinho, Fernando（Univ Fed Rio de Janeiro）
Costa, Ramon R.（Univ Fed Rio de Janeiro）
Leite, Antonio C.（Norwegian Univ Life Sci）
Lizarralde, Fernando（Univ Fed Rio de Janeiro）
Payao Filho, Joao C.（Univ Fed Rio de Janeiro）
刊号：737E0037
ISSN：2195-3880
出版年：2022
年卷期：2022, vol.33, no.4
页码：1136-1147
总页数：12
分类号：TP2
关键词：Wire arc additive manufacturing；Passive vision；Bead geometry measurement；WAAM characteristic monitoring；SEAM TRACKING；TECHNOLOGIES；WIDTH
参考中译：焊丝电弧添加制造；被动视觉；焊道几何测量；WAAM特性监测；焊缝跟踪；技术；宽度
语种：eng
文摘：This work addresses the online extraction of the geometry characteristics (width and centerline) of deposited beads with monocular cameras for wire arc additive manufacturing (WAAM). To enable online measurement and feature extraction from captured images, an adaptive threshold is used for segmentation, a Canny algorithm for edge detection, a Hough-line transform for feature identification of the bead edges, and a filtering step to attenuate the low signal-to-noise ratios of deposition processes. Online measurements are performed in single-bead and layer (multi-bead) scenarios. The proposed vision-based solution is experimentally implemented in a WAAM robotic system composed of a welding torch, a Kuka KR90 robot arm, a power source, wire feeder, and a passive monocular camera. Experimental results illustrate the performance and effectiveness of the proposed visual-based methodology.
参考中译：本文研究了利用单目摄像机在线提取焊丝弧焊过程中熔珠的几何特征(宽度和中心线)。为了能够从捕获的图像中进行在线测量和特征提取，使用自适应阈值进行分割，使用Canny算法进行边缘检测，使用Hough-line变换进行珠子边缘的特征识别，并使用滤波步骤来衰减沉积过程的低信噪比。在线测量是在单珠和层(多珠)情况下进行的。提出的基于视觉的解决方案在由焊枪、库卡KR90机械臂、电源、送丝机和被动单目摄像机组成的WAAM机器人系统中进行了实验实现。实验结果表明了基于视觉的方法的性能和有效性。



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