锻压技术

基于激光三角法的辊弯成形回弹测量与评价

英文标题：Measurement and evaluation on springback in roll forming based on laser triangulation

作者：韩　飞尚伟勇

单位：北方工业大学

分类号：TB92; TH712

出版年,卷(期):页码：2023,48(1):229-236

摘要：

针对辊弯成形件目前存在的回弹量难以精确测量, 以及无法全面统计成形实际误差等问题, 提出一种辊弯成形件回弹量的视觉测量方法。运用逆向工程技术的方法, 对成形后的零件进行逆向设计, 并与原始点进行对比, 从而得到板材的相关数据。该方法利用激光三角法测量装置, 来获取辊弯成形件的点云数据, 然后利用Geomagic Qualify 软件对点云数据进行处理。将点云数据与产品设计标准CAD 模型匹配对齐, 计算点云相对于设计模型在最佳匹配位置的法向偏差值, 从而获得回弹量数值。此方法能够准确地得出同一成形件不同截面的回弹量, 为后续辊弯成形闭环矫正系统提供实时参考数据。

For the problems that the springback amount of roll-formed parts was difficult to be accurately measured and the actual error in forming could not be fully counted, a visual measurement method for springback amount of roll-formed parts was proposed. Then, using the method of reverse engineering technology, the formed part was reverse designed and compared with the original points so as to obtain the relevant data of sheet metal. The method used the laser triangulation measurement device to obtain the point cloud data of roll-formed parts, and then used software Geomagic Qualify to process the point cloud data. The point cloud data was matched and aligned with the product design standard CAD model, and the normal deviation value of the point cloud relative to the design model at the best matching position was calculated to obtain the values of springback amount. Thus, this method can accurately obtain the springback amount of different sections in the same formed part and provide the real-time reference data for subsequent roll forming closed-loop correction system.

基金项目：

北京市自然科学基金- 市教委联合资助项目(KZ201910009011); 北京市属高校高水平教师队伍建设长城学者培养计划(CIT&TCD20190306); 北京市教委基本科研业务费项目(110052972027/024); 北方工业大学毓杰团队支持计划(107051360021XN083/001); 国家自然科学基金资助项目(51074204)

作者简介: 韩　飞(1977-), 男, 博士, 教授 E-mail: hanfei@ ncut. edu. cn

参考文献：

[1] 　Tai W C, Chang M. A machine vision technique for subpixel estimation of three-dimensional profilometry [ J]. Opt Quant Electron, 1996, 28: 1571-1582.

[2] 　刘兆妍, 马翠红, 刘兆妮. 基于机器视觉的机械零件测量技术[J]. 机械设计与制造, 2005, (7): 144-146.

Liu Z Y, Ma C H, Liu Z N. Techniques of machine parts measurement based on machine vision [J]. Machinery Design & Manufacture, 2005, (7): 144-146.

[3] 　Groche P, Beiter P, Henkelmann M. Prediction and inline compensation of springback in roll forming of high and ultra-high strength steels [J]. Production Engineering: Research and Development, 2008, 2 (4): 401-407.

[4] 　Li Y, Li Y F, Wang Q L, et al. Measurement and defect detection of the weld bead based on online vision inspection [ J]. IEEE Transactions on Instrumentation & Measurement, 2010, 59 (7):1841-1849.

[5] 　Ding Y Y, Zhang X B, Kovacevic R. A laser-based machine vision measurement system for laser forming [ J]. Measurement, 2016, 82: 345-354.

[6] 　Zhao Y J, Yan Y H, Song K C. Vision-based automatic detection of steel surface defects in the cold rolling process: Considering the influence of industrial liquids and surface textures [J]. The International Journal of Advanced Manufacturing Technology, 2017, 90(5-8): 1665-1678.

[7] 　Xiang R, He W H, Zhang X N, et al. Size measurement based on a two-camera machine vision system for the bayonets of automobile brake pads [J]. Measurement, 2018, 122: 106-116.

[8] 　Dong Z X, Sun X W, Liu W J. Measurement of free-form curved surfaces using laser triangulation [J]. Sensors (Basel, Switzerland),2018, 18 (10): 3527-3527.

[9] 　付兴领. 基于Halcon 机器视觉的齿轮参数测量系统[J]. 电子世界, 2020, 584 (2): 23-25.

Fu X L. Gear parameter measurement system based on Halcon machine vision [J]. Electronics World, 2020, 584 (2): 23-25.

[10] 王成武, 陆惠宗, 吴俊杰, 等. 激光三角法位移测量多项式拟合及误差修正[J]. 仪器仪表学报, 2021, 42 (5): 1-8.

Wang C W, Lu H Z, Wu J J, et al. Study of polynomial fitting and error correction method for laser triangulation displacement measurement [ J ]. Chinese Journal of Scientific Instrument,

2021, 42 (5): 1-8.

[11] 赵景海, 孙飞显. 基于残差补偿的激光位移传感器测距方法[J]. 计算机工程, 2018, 44 (10): 298-302.

Zhao J H, Sun F X. Laser displacement sensor measurement method based on residual compensation [J]. Computer Engineering, 2018, 44 (10): 298-302.

[12] 路平, 刘斌, 黄常标, 等. 基于双目立体视觉测量技术的冲压件数字化回弹测量[J]. 重庆理工大学学报: 自然科学,2013, 27 (4): 45-49.

Lu P, Liu B, Huang C B, et al. Digital springback measurement for stamping parts based on binocular stereo vision measuring technique [J]. Journal of Chongqing University of Technology: Natural Science, 2013, 27 (4): 45-49.

[13] 蒋剑飞, 李其仲, 黄妙华, 等. 基于三维激光雷达的障碍物及可通行区域实时检测[J]. 激光与光电子学进展, 2019,56 (24): 249-258.

Jiang J F, Li Q Z, Huang M H, et al. Real-time detection of obstacles and passable areas based on three-dimentional LiDAR [J]. Laser & Optoelectronics Progress, 2019, 56 (24): 249-

258.

[14] 贾敏, 薛安勃, 孙建辉, 等. 浅议最佳拟合与基准对齐数据分析方法的适应性[J]. 科技创新报, 2019, 16 (25): 72-73.

Jia M, Xue A B, Sun J H, et al. The adaptability of best fit and datum alignment data analysis methods is discussed [ J].Science and Technology Innovation Herald, 2019, 16 (25):

72-73.

[15] 危双丰, 汤念, 黄帅, 等. 基于建筑物轮廓的地面激光点云与影像匹配点云配准研究[J]. 计算机应用研究, 2021, 38(8): 2515-2520.

Wei S F, Tang N, Huang S, et al. Research on registration of terrain laser scanning point cloud and image matching point cloud based on building footprint [J]. Application Research of Computers,2021, 38 (8): 2515-2520.

[16] 杨凯, 王永军, 刘天骄, 等. 型材拉弯件回弹的激光扫描检测技术研究[J]. 工具技术, 2015, 49 (12): 95-98.

Yang K, Wang Y J, Liu T J, et al. Research on laser scanning test for springback of stretch bending formed profiles [J]. Tool Engineering, 2015, 49 (12): 95-98.

服务与反馈：

【文章下载】【加入收藏】