数字图像相关法测量金属薄板焊接的全场变形

胡浩; 梁晋; 唐正宗; 卢岗

doi:doi:10.3788/ope.20122007.1636

光学精密工程, 2012, 20 (7): 1636, 网络出版: 2012-08-09

数字图像相关法测量金属薄板焊接的全场变形

Measurement of full-field deformations in metal sheet welding processes by image correlation method

论文大纲

胡浩 ^*梁晋唐正宗卢岗

作者单位

西安交通大学机械工程学院, 陕西西安 710049

摘要

提出了一种基于数字图像相关法和双目视觉技术的全场三维变形测量方法来测量金属薄板焊接过程中的高温变形。首先, 提出一种基于种子点的高精度图像匹配算法求解相关匹配非线性优化初值。然后, 介绍了三维坐标重建以及三维位移、三维应变的求解算法。最后, 借助于VC++6.0开发环境, 研制了用于薄板焊接全场变形测量的实验系统。为验证本文方法在材料力学性能实验方面的可行性, 利用标准材料试验机和自主研制的图像采集装置设计了钢试件的标准拉伸实验, 并采用Q235板材件进行了焊接变形测量实验。实验表明：本文方法的应变测量精度为0.5%, 与引伸计的测量结果基本相当; 与传统的测量方法相比, 提出的方法可以更全面、更直观地测量金属薄板在整个焊接过程中的三维位移场和应变场, 并且测得的3个方向的位移变化曲线过渡自然、数据合理, 是研究焊接变形规律的有效手段。

Abstract

A new three-dimensional deformation measurement method was proposed based on digital image correlation and binocular stereovision to measure the full-field deformation in metal sheet welding processes. Firstly, an algorithm based on a seed point was proposed to provide a reliable initial value for the least-square nonlinear optimization in the correlation matching. Then, the algorithms for three-dimensional coordinate reconstruction, three-dimensional displacement and the strain calculation were discussed separately. Finally, based on these algorithms and the VC++6.0 platform, a welding deformation measurement system was developed for the full-field deformation of metal sheet welding. With self-developed image acquisition devices and a standard material testing machine, a steel standard tensile test and a welding deformation measurement test were conducted to validate the performance of proposed mthod. Experimental results demonstrate that the accuracy of strain measurement is not lower than 0.5%, which is very close to that of a extensometer and the measured 3-D displacement time history is reasonable. It concludes that the proposed method can satisfy the requirements of non-contact, higher precision, and it is a more intuitive way for full-field deformation measurement during metal sheet welding processes.

参考文献

[1] 薛忠明, 曲文卿, 柴鹏,等. 焊接变形预测技术研究进展[J]. 焊接学报, 2003, 24(3): 87-90.

XUE ZH M, QU W Q, CHAI P, et al.. Review on prediction of welding distortion [J]. Transactions of the China Welding Institution, 2003, 24(3): 87-90. (in Chinese)

[2] DENG D, LIANG W, MURAKAWA H. Determination of welding deformation in fillet-welded joint by means of numerical simulation and comparison with experimental measurements [J]. J. Mater. Process, Technol., 2007, 183: 219-225.

[3] AKBARI M, MIRESMAEILI R. Experimental and numerical analyses of residual stress distributions in TIG welding process for 304 L stainless steel [J]. J. Mater. Process. Technol., 2008, 208:383-394.

[4] DENG D. FEM prediction of welding residual stress and distortion in carbon steel considering phase transformation effects [J]. Mater. Des., 2009, 30:359-366.

[5] LINDGREN L. Finite element modeling and simulation of welding. PART 3: Efficiency and integration [J]. Journal of Thermal Stresses, 2001, 24(2):305-334.

[6] 何洪文, 赵海燕, 钮文翀,等. 应用三维激光扫描法测量板材的焊接变形[J]. 焊接学报, 2011, 32(12): 9-12.

HE H W, ZHAO H Y, NIU W CH, et al.. A method to measure welding deformation of plate by three dimensional laser scanner [J]. Transactions of the China Welding Institution, 2011, 32(12):9-12. (in Chinese)

[7] LIU J W, LIANG J, LIANG X H, et al.. Videogrammetric system for dynamic deformation measurement during metal sheet welding processes [J]. Opt. Precision Eng., 2010,49:033601.

[8] PETERS W H, RANSON W F. Digital imaging techniques in experimental stress analysis [J]. Opt. Precision Eng., 1982, 21(3):427-431.

[9] CHU T C, RANSON W F, SUTTON M A, et al.. Applications of digital-image-correlation techniques to experimental mechanics [J]. Exp. Mech,1985, 25(3):232-245.

[10] OZTURK A, HALICI U, ULUSOY I, et al.. 3D face reconstruction using stereo images and structured light [C], 2008: 1-4.

[11] 唐正宗, 梁晋, 肖振中,等. 用于三维变形测量的数字图像相关系统[J]. 光学精密工程, 2010, 18(10):2244-2253.

TANG ZH Z, LIANG J, XIAO ZH ZH, et al.. Digital image correlation system for three-dimensional deformation measurement [J]. Opt. Precision Eng., 2010, 18(10):2244-2253. (in Chinese)

[12] 孙伟, 何小元, C. Quan,等. 基于数字图像相关的三维刚体位移测量方法[J]. 光学学报, 2008,28(5):895-901.

SUN W, HE X Y, QUAN C, et al.. Three-dimensional rigid body displacement measurement based on digital image correlation [J]. Acta Optica Sinia, 2008, 28(5):895-901.

[13] 陈刚, 车仁生, 叶东,等. 一种基于立体模板的双目视觉传感器现场标定方法[J]. 光学精密工程, 2004, 12 (6): 626-631.

CHEN G, CHE R SH, YE D, et al.. Stereo vision sensor field calibration method based on volume template [J]. Opt. Precision Eng., 2004, 12 (6): 626-631. (in Chinese)

[14] 孙军华, 吴子彦, 刘谦哲, 等. 大视场双目立体视觉传感器的现场标定[J]. 光学精密工程, 2009, 17 (3): 633-640.

SUN J H, WU Z Y, LIU Q ZH, et al.. Field calibration of stereo vision sensor with large FOV [J]. Opt. Precision Eng., 2009, 17 (3): 633-640. (in Chinese)

[15] CLIVE S, FRASER. Digital camera self-calibration [J]. Photogrammetry & Remote Sensing, 1997,52(4):149-159.

[16] 胡浩, 梁晋, 唐正宗, 等. 大视场多像机视频测量系统的全局标定[J]. 光学精密工程, 2012, 20 (2): 369-378.

HU H, LIANG J, TANG Z Z, et al.. Global calibration for muti-camera videogrammetric system with large-scale field-of-view [J]. Opt. Precision Eng., 2012, 20 (2): 369-378. (in Chinese)

胡浩, 梁晋, 唐正宗, 卢岗. 数字图像相关法测量金属薄板焊接的全场变形[J]. 光学精密工程, 2012, 20(7): 1636. HU Hao, LIANG Jin, TANG Zheng-zong, LU Gang. Measurement of full-field deformations in metal sheet welding processes by image correlation method[J]. Optics and Precision Engineering, 2012, 20(7): 1636.

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