网站首页期刊简介编委会过刊目录投稿指南广告合作征订与发行联系我们English
自动化三维精密测量技术及其在锻压领域的应用
英文标题:Automatic 3D precision measurement technology and its application in forging field
作者:杨光1 周敏1 韩利亚2 李中伟2 夏巨谌2 
单位:1.武汉科技大学 2.华中科技大学 
关键词:自动化三维精密测量 面扫描 六自由度机器手 锻压领域 
分类号:
出版年,卷(期):页码:2016,41(4):109-114
摘要:

面扫描三维测量技术具有非接触、测量速度快、精度高等优势,在锻压领域具有巨大的应用潜力。但是通用的面扫描三维测量设备在测量过程中易受测量规划、数据处理等人为因素影响,测量精度难以保证。为解决此问题,提出一种基于面扫描和六自由度机器手的自动化三维测量技术,该技术由六自由度机器手、三维测量头、控制系统等组成,能够充分利用机器手运动灵活、工作范围大的特点和面扫描测量速度快、精度高的优势。此外,该技术采用了一种基于矩阵直积的手眼标定算法,实现了多次测量数据的高精度自动拼合。实际应用表明,该技术能够实现复杂锻件等工业产品的快速、精确、自动三维测量和精度检测。

Surface scanning 3D measurement technology is of non-contact, fast measuring speed and high accuracy, and it is promising to apply in the field of forging. But the common 3D measurement equipments are easily affected by human factors such as measurement planning, data processing, etc., and it is difficult to guarantee the accuracy during measurement. In order to solve those problems, an automatic 3D measurement technology was put forward based on surface scanning and industrial robot with six degrees of freedom, which was composed of six degree of freedom robot hand, 3D measurement head and control system, etc. Furthermore, it could make full use of the advantages of flexible operation, large working range in robot hand and fast measuring speed, and high accuracy in surface scanning. Additionally, a hand-eye calibration algorithm based on kronecher product was adopted in this technology, which realized a high-precision automatic registration of measurement data. The practical application shows that the technology can realize a fast, accurate, automatic 3D measurement and accuracy test of the complex forging products.

基金项目:
国家自然科学基金资助项目(51505169);湖北省重大科技创新计划(2013AEA003);湖北省重点实验室基金资助项目(2013A06)
作者简介:
杨光(1988-),男,硕士研究生
参考文献:

[1]夏巨谌. 典型零件精密成形[M].北京:机械工业出版社,2008.

Xia J C. Typical Parts of Precision Forming [M]. Beijing: China Machine Press, 2008.

[2]夏巨谌,金俊松,邓磊,等.轴类件多工位冷精锻工艺及模具的研究[J]. 锻压技术,2014,39(10):58-62.

Xia J C,Jin J S,Deng L,et al. Research on multi-position cold forging process and die design for shafts [J]. Forging & Stamping Technology,2014,39(10):58-62.

[3]朱红,伍梦琦,李中伟. 蓝光面扫描三维测量技术及其在铸造领域的应用[J].铸造技术,2015, 36(1): 251-254.

Zhu H, Wu M Q, Li Z W. Blue ray surface scanning 3D measurement technology and its application in casting field[J]. Foundry Technology, 2015, 36(1): 251-254.

[4]Zhong K, Li Z W, Shi Y S, et al. Fast phase measurement profilometry for arbitrary shape objects without phase unwrapping[J]. Optics & Lasers in Engineering,2013,51(11): 1213-1222.

[5]张广军. 机器视觉[M].北京:科学出版社,2005.

Zhang G J. Machine Vision[M]. Beijing: Science Press,2005.

[6]Shibuya Y, Maru N. Control of 6 DOF arm of the humanoid robot by linear visual servoing[A]. IEEE International Symposium on Industrial Electronics[C].Korea, 2009.

[7]李中伟. 基于数字光栅投影的结构光三维测量技术与系统研究[D]. 武汉:华中科技大学, 2009.

Li Z W .Research on Structured Light 3D Measurement Technology and System Based on Digital Fringe Projection[D]. Wuhan:Huazhong University of Science and Technology, 2009.

[8]黄佳. 基于工业机器人的三维激光扫描测量系统研究[D]. 天津:天津大学, 2012.

Huang J. Research on 3D Laser Scanning Measurement System based on Industrial Robot [D]. Tianjin: Tianjin University, 2012.

[9]李中伟,王从军,史玉升. 3D测量系统中的高精度摄像机标定算法[J].光电工程,2008, 35(4): 58-63.

Li Z W, Wang C J,Shi Y S. High precision camera calibration algorithm in 3D measurement system[J]. Opto-Electronic Engineering, 2008, 35(4): 58-63.

[10]卢钰庭. 基于视觉的机器人标定的研究[D]. 广州:华南理工大学, 2013.

Lu Y T. Research on Calibration of Robot Based on Vision[D]. Guangzhou: South China University of Technology, 2013.

[11]Shiu Y C, Ahmad S. Calibration of wrist-mounted robotic sensors by solving homogeneous transform equations of the form AX= XB[J]. IEEE Transactions on Robotics & Automation, 1989, 5(1): 16-29.

[12]Zhuang H Q, Shiu Y C. A noise-tolerant algorithm for robotic hand-eye calibration with or without sensor orientation measurement[J]. IEEE Transactions on Systems, Man & Cybernetics,1993, 23(4): 1168-1175.

[13]Park F C, Martin B J. Robot sensor calibration: solving AX=XB on the Euclidean group[J]. IEEE Transactions on Robotics & Automation, 1994, 10(5):717-721.

[14]Fassi I, Legnani G. Hand to sensor calibration: A geometrical interpretation of the matrix equation AX= XB[J]. Journal of Robotic Systems, 2005, 22(9): 497-506.

[15]Kukelova Z, Heller J, Pajdla T. Hand-eye calibration without hand orientation measurement using minimal solution[J]. Lecture Notes in Computer Science, 2013,7727:576-589.

服务与反馈:
文章下载】【加入收藏
《锻压技术》编辑部版权所有

中国机械工业联合会主管  中国机械总院集团北京机电研究所有限公司 中国机械工程学会主办
联系地址:北京市海淀区学清路18号 邮编:100083
电话:+86-010-82415085 传真:+86-010-62920652
E-mail: fst@263.net(稿件) dyjsjournal@163.com(广告)
京ICP备07007000号-9