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中南大学学报(自然科学版)

Journal of Central South University

第48卷    第11期    总第279期    2017年11月

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文章编号:1672-7207(2017)11-2935-07
一种对薄板焊接全场变形的图像测量方法
龚春园1, 2,梁晋1, 2,温广瑞1, 2,千勃兴1, 2

(1. 西安交通大学 机械工程学院 机械制造系统工程国家重点实验室,陕西 西安,710049; 2. 广东顺德西安交通大学研究院,广东 佛山,528300)

摘 要: 为解决焊接过程中由于高温高亮而使焊件变形难以测量的问题,采用改进的数字图像相关法和双目立体视觉对金属薄板焊接全场变形进行测量。对弱相关图像匹配的解决方法和数字图像相关的算法进行分析,并通过去噪和分段基准保证弱相关图像的正确匹配:首先,使用高斯平滑对原始图像进行去噪处理,消除焊接强光干扰;然后,采用分段建立基准的方法解决了焊点区域因散斑质量下降而出现的难以匹配的问题。对Newton-Raphson算法的二阶梯度矩阵进行简化,提高相关计算的速度。在测量实验中,首先对板料表面进行预处理与散斑制备,然后在氩弧堆焊(TIG)过程中利用高速相机拍摄板料焊接及冷却自由变形的全过程,最后计算所有图像中变形点的位移,获得板料特别是焊缝区的全场变形数据。研究结果表明:将此方法应用于焊接变形测量,能得到整个焊接过程中任意点的变形曲线,并且可在高温焊缝区获得准确的变形趋势。测量结果可用于分析影响焊接变形的因素,进而对焊接变形实施控制,也可用于检验焊接变形数值模拟方法的正确性。

 

关键字: 数字图像相关;双目立体视觉;薄板焊接;全场变形;分段基准

An image measurement method of whole field deformation during thin plate welding process
GONG Chunyuan1, 2, LIANG Jin1, 2, WEN Guangrui1, 2, QIAN Boxing1, 2

1. State Key Laboratory for Manufacturing Systems Engineering, School of Mechanical Engineering, Xi’an Jiaotong University, Xi’an 710049, China; 2. Guangdong Shunde Xi’an Jiaotong University Academy, Foshan 528300, China

Abstract:It is hard to measure the deformation due to the high temperature and highlight during the welding process. To solve this problem, a method based on the modified digital image correlation and binocular stereovision technology were used in the thin plate welding whole field deformation. The solution to match images of poor correlation and the algorithm of digital image correlation were analyzed, and both the noise disposal and step benchmark were adopted to ensure that the images of poor correlation could be matched correctly. Firstly, Gaussian smoothing was used to deal with the noise of original image; then a method of setting up the piecewise benchmarks was adopted to overcome the matching difficulties which were caused by eliminate the effect of welding light, and the weak speckle performance around the solder joint. In order to improve the speed of correlation calculation, the second order gradient matrix was simplified by Newton-Raphson algorithm. After the metal surface pretreatment and speckle preparation, some photos of tungsten insert gas (TIG) arc welding and cooling process were taken by the high speed cameras during the whole states of deforming in the experiment. Eventually, the displacements of deformation points in all images could be calculated so that the data of whole field dynamic deformation on the thin plate especially the welding zone could be obtained. The results show that this method can get the strain curves of arbitrary points in the whole welding process, and the accurate deformation trend of the high temperature welding area can also be obtained. The measuring results can be used to analyze the influence factors of welding deformation, control the welding deformation and verify the welding numerical simulation.

 

Key words: digital image correlation; binocular stereovision; thin plate welding; whole field deformation; piecewise benchmark

中南大学学报(自然科学版)
  ISSN 1672-7207
CN 43-1426/N
ZDXZAC
中南大学学报(英文版)
  ISSN 2095-2899
CN 43-1516/TB
JCSTFT
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