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张海鸥, 邱立朋, 芮道满, 王桂兰, 于洋. 金属零件熔积成形过程形状质量的可视化诊断[J]. 焊接学报, 2012, (9): 1-4.
引用本文: 张海鸥, 邱立朋, 芮道满, 王桂兰, 于洋. 金属零件熔积成形过程形状质量的可视化诊断[J]. 焊接学报, 2012, (9): 1-4.
ZHANG Haiou, QIU Lipeng, RUI Daoman, WANG Guilan, YU Yang. Visualized diagnosis for metallic parts deposition shaping quality[J]. TRANSACTIONS OF THE CHINA WELDING INSTITUTION, 2012, (9): 1-4.
Citation: ZHANG Haiou, QIU Lipeng, RUI Daoman, WANG Guilan, YU Yang. Visualized diagnosis for metallic parts deposition shaping quality[J]. TRANSACTIONS OF THE CHINA WELDING INSTITUTION, 2012, (9): 1-4.

金属零件熔积成形过程形状质量的可视化诊断

Visualized diagnosis for metallic parts deposition shaping quality

  • 摘要: 利用单目视觉技术进行熔积成形过程监测;借助数字图像处理技术对熔积层形貌信息进行处理获得熔积层的宽度信息;以图像处理获得的熔积层缺陷点像素坐标为源头,通过文中建立的空间定位数学模型还原其三维空间位置信息,最后进行熔积层检测试验.结果表明,文中提出的单目视觉定位数学模型和数字图像处理算法能够准确的对熔积层宽度进行非接触地实时监测,并能够对可能出现的缺陷点进行快速的识别与准确的定位.因此文中方法能够实时调整与优化快速成形过程中的熔积工艺参数,保证制件形状与尺寸精度.

     

    Abstract: Single-camera vision was used to monitor the deposition manufacturing process.By using of image processing technology, the deposition morphology information was processed to get the deposition width.The defect position was calculated by virtue of the spatial orientation mathematical model, which takes the defect pixel coordinate as the source.In the end, the experiment to monitor the deposition was carried out.The experimental results show that the mathematical model and the image processing arithmetic can monitor the deposition width precisely without contact.The method also can recognize and locate the possible defect point fleetly and accurately.Thus the method can adjust and optimize the technological parameter of the deposition to ensure the shape precision and the dimensional precision of the part.

     

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