| 合金钢熔化极气保焊熔池灰度图像特征试验 |
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| 引用本文： | 王克鸿,沈莹吉,游秋榕,张德库. 合金钢熔化极气保焊熔池灰度图像特征试验[J]. 焊接学报, 2007, 28(6): 73-76 |
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| 作者姓名： | 王克鸿 沈莹吉 游秋榕 张德库 |
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| 作者单位： | 南京理工大学,材料科学与工程系,南京,210094;南京理工大学,材料科学与工程系,南京,210094;南京理工大学,材料科学与工程系,南京,210094;南京理工大学,材料科学与工程系,南京,210094 |
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| 摘 要： | 针对MAG焊特点,采用被动式视觉传感和近红外滤波方式采集到了不同熔滴过渡形式下清晰的典型熔池视觉图像.通过专用图像处理软件提取了反映焊接质量的熔池图像灰度特征,并采用灰度直方图、伪彩色增强等方法进一步描述了熔池图像的灰度分布特点.提出了用灰度均值和标准差研究MAG焊焊接过程的思路,分析研究并给出了灰度均值和标准差计算方法,并对不同工艺参数下,结合焊接电流和电弧电压波形,分析研究了熔池视觉图像的灰度均值、标准差和焊接过程,得出了其波动大小反映了焊接过程稳定性的初步结论.
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| 关 键 词： | 混合气体保护焊 熔池图像 质量信息 灰度特征 |
| 文章编号： | 0253-360X（2007）06-073-04 |
| 收稿时间： | 2006-02-15 |
| 修稿时间： | 2006-02-15 |
Gray image feature of molten pool in GMAW of alloy steel |
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| WANG Kehong,SHEN Yingji,YOU Qiurong and ZHANG Deku. Gray image feature of molten pool in GMAW of alloy steel[J]. Transactions of The China Welding Institution, 2007, 28(6): 73-76 |
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| Authors: | WANG Kehong SHEN Yingji YOU Qiurong ZHANG Deku |
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| Affiliation: | Department of Materials Science and Engineering, Nanjing University of Science & Technology, Nanjing 210094, China,Department of Materials Science and Engineering, Nanjing University of Science & Technology, Nanjing 210094, China,Department of Materials Science and Engineering, Nanjing University of Science & Technology, Nanjing 210094, China and Department of Materials Science and Engineering, Nanjing University of Science & Technology, Nanjing 210094, China |
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| Abstract: | A passive vision sensing system for acquiring the image of GMAW molten pool was set up and a lot of clear images were obtained.Image-processing software was used to extract characteristic information which reflects the welding quality.Gray feature and pseudo-color image were analyzed.Gray mean and gray standard deviation distribution were used to study the process of welding with the current and voltage wave analysis.The conclusion is that the fluctuation range of the gray mean and gray standard deviation reflects the stability of the welding process. |
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| Keywords: | gas metal arc welding molten pool image quality information gray feature |
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