A passive imaging system for geometry measurement for the plasma arc welding process

1月 1, 2017·
Tomas Font comas
,
Chenglei Diao
,
Jialuo Ding
,
Stewart Williams
Yifan Zhao
Yifan Zhao
· 0 分钟阅读时长
DOI
摘要
Automatic and flexible geometry measurement of the weld pool surface can help better understand the complex welding processes and even provide feedback to better control this process. Most of existing imaging systems use an additional source of illumination to remove the light interference coming from the welding arc but it is usually costly. This paper introduces a novel low-cost optical-sensor-based monitoring system working under passive mode to monitor the wire + arc additive manufacture (WAAM) process, particularly for plasma arc welding. Initially, configurations and parameters of camera are investigated to achieve good visualisation of weld pool. A novel camera calibration methodology using the nozzle of a CNC machine is then proposed for this imaging system allowing estimation of the camera position with respect to the inspecting surface and its orientation in an easy-to use approach. The verification tests show that the average error of the calibration is less than 1 pixel. As a case study, an image analysis routine is proposed to measure the width of the bead during the welding process. The results show that the proposed system is effective to measure the dimension of weld pool.
类型
出版物
IEEE Transactions on Industrial Electronics, 64(9), 7201–7209. Institute of Electrical and Electronics Engineers (IEEE)
publications
赵一帆
作者
赵一帆 (he/him)
讲席教授
赵一帆(Yifan Zhao), 宁波东方理工大学力学与机械工程学院讲席教授, 英国皇家工程院工业会士, 英国高等教育学会会士, 2025入选国家级高层次人才计划。曾任英国克兰菲尔德大学航空、交通与制造学院终身教授、博士生导师, 担任全生命周期工程服务实验室主任。2000年与2003年分别获得北京理工大学自动控制专业学士和硕士学位, 2007年获得英国谢菲尔德大学自动控制与系统工程博士学位。累计发表高水平学术论文200余篇, 其中包含IEEE Transactions顶刊论文30余篇, 以及CVPR、MICCAI、CIRP等国际顶级会议论文。出版学术专著6部, 获授权国际专利3项。已培养博士后6人、博士研究生20余人、硕士研究生80余人, 国际访问学者10名。主持和参与多项英国工程与自然科学研究理事会、英国皇家工程院、英国创新署以及空客和捷豹路虎等国际头部企业资助的重大科研项目, 累计经费逾8000万元人民币。在知识转化方面, 其研究成果已成功应用于飞机设计与运维、智能制造、自动驾驶以及智慧建造等领域。