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CHEN Zhongsheng, ZHOU Qiang, XIE Benkai. Design of welding torch's positioning system for welding simulator based on mulitiple sensors[J]. TRANSACTIONS OF THE CHINA WELDING INSTITUTION, 2015, 36(8): 105-108.
Citation: CHEN Zhongsheng, ZHOU Qiang, XIE Benkai. Design of welding torch's positioning system for welding simulator based on mulitiple sensors[J]. TRANSACTIONS OF THE CHINA WELDING INSTITUTION, 2015, 36(8): 105-108.

Design of welding torch's positioning system for welding simulator based on mulitiple sensors

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  • Received Date: December 28, 2013
  • Aimed at the positioning of the welding torch in the welding simulator, one new positioning system was designed. In this system, the coil film was put on the welding plate, so that the welding torch's X and Y coordinates projections in the welding plate could be got. The Z coordinate could be captured by optical fiber sensor indirectly, and the posture of welding torch was captured by a 3-axis gyro and a 3-axis accelerometer, and then the weld pool's position and the trainee's action could be gained according to the geometric relationship. The results shows that, this kind of design could meet the requirement of welding simulator's real-time and accuracy.
  • 李喆,詹恒顺,张建勋.焊条电弧焊仿真操作中运条轨迹的检测与评价[J].焊接学报, 2014, 35(9):97-100. Li Zhe, Zhan Hengshun, Zhang Jianxun. The track and evaluation of dynamic welding activity in virtual manual welding process[J]. Transactions of the China Welding Institution, 2014, 35(9):97-100.
    Chambers T L, Aglawe A, Reiners D, et al. Real-time simulation for a virtual reality-based MIG welding training system[J]. Virtual Reality, 2012,16(1):45-55.
    刘胜长,张翌旸,姜海.手工电弧焊操作模拟训练系统研究[J].科技创新导报, 2009(13):89. Liu Shengchang, Zhang Yiyang, Jiang Hai. Study on the simulation training system of manual arc welding operation[J]. Science and Technology Innovation Herald, 2009(13):89.
    朱振友,朴泳杰,林涛,等.基于视觉的局部环境焊缝起始位置识别方法[J].焊接学报, 2004, 25(2):95-98. Zhu Zhenyou, Piao Yongjie, Lin Tao, et al. Visual-based research on welding seam initial recognition in local environment[J]. Transactions of the China Welding Institution, 2004, 25(2):95-98.
    李原,徐德,沈扬,等.一种焊缝结构光图像处理与特征提取方法[J].焊接学报, 2006, 27(9):25-30. Li Yuan, Xu De, Shen Yang, et al. A image processing features extraction method for structured light image of welding seam[J]. Transactions of the China Welding Institution, 2006, 27(9):25-30.
    姚玉辉,张建勋,薛金保,等. HTS焊接模拟培训系统的现状与发展[J].电焊机, 2011, 41(10):52-55. Yao Yuhui, Zhang Jianxun, Xue Jinbao, et al, Introduction of the virtual welding training system(HTS)[J]. Electric Welding Machine, 2011, 41(10):52-55.
    张起贵,秦城.电磁感应式电子白板关键技术研究[J].电子器件, 2013, 36(1):54-57. Zhang Qigui, Qin Cheng, Research on key technology of electromagnetic electronic whiteboard[J]. Chinese Journal of Electron Devices, 2013, 36(1):54-57.
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