期刊文献+

自动化三维精密测量技术及其在锻压领域的应用 被引量:3

Automatic 3D precision measurement technology and its application in forging field
原文传递
导出
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 3 D 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, 3 D 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 - preci- sion 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.
出处 《锻压技术》 CAS CSCD 北大核心 2016年第4期109-114,共6页 Forging & Stamping Technology
基金 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)
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 automatic 3D precision measurement surface scanning six DOF robot hand field of forging
  • 相关文献

参考文献11

  • 1夏巨湛.典型零件精密成形[M].北京:机械工业出版社, 2008.
  • 2夏巨谌,金俊松,邓磊,王新云,夏汉关,董义,王耀祖.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. 被引量:3
  • 3朱红,伍梦琦,李中伟,钟凯,沈其文,詹国敏.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. 被引量:5
  • 4Zhong K, Li Z W, Shi Y S, et al. Fast phase measurement profilome-try for arbitrary shape objects without phase unwrapping [ J ] ? Optics& Lasers in Engineering, 2013, 51 (11): 1213 -1222.
  • 5Shibuya Y, Maru N. Control of 6 DOF arm of the humanoid robotby linear visual servoing [ A]. IEEE International Symposium onIndustrial Electronics [ C]. Korea, 2009.
  • 6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. 被引量:23
  • 7Shiu Y C,Ahmad S. Calibration of wrist - mounted robotic sensorsby solving homogeneous transform equations of the form AX = XB[J ]. IEEE Transactions on Robotics & Automation, 1989, 5(1): 16-29.
  • 8Zhuang H Q, Shiu Y C. A noise-tolerant algorithm for robotichand-eye calibration with or without sensor orientation measurement[J]. IEEE Transactions on Systems, Man & Cybernetics, 1993,23 (4) : 1168 -1175.
  • 9Park F C,Martin B J. Robot sensor calibration : solving AX = XBon the Euclidean group [ J ]. IEEE Transactions on Robotics &Automation, 1994,10 (5): 717-721.
  • 10Fassi I,Legnani G. Hand to sensor calibration : A geometrical in-terpretation of the matrix equation AX = XB [ J]. Journal of Ro-botic Systems, 2005,22 (9) : 497 -506.

二级参考文献29

  • 1王华君,夏巨谌,胡国安.减径挤压工艺成形极限分析[J].模具技术,2005(3):3-6. 被引量:7
  • 2Yang H, Zhang S, Guo G, et al. Key techniques for vision measurement of 3D object surface [C]// Sixth International Symposium on Instrumentation and Control Technology: Signal Analysis, Measurement Theory, Photo-Electronic Technology, and Artificial Intelligence. Beijin, China: SPIE, 2006: 63571Z.
  • 3Zhang Z. A flexible new technique for camera calibration [J]. IEEE Transactions on Pattern Analysis and Machine Intelligence, 2000, 22(11): 1330-1334.
  • 4Song L M, Wang M P, Lu L, et al. High precision camera calibration in vision measurement [J]. Optics & Laser Technology, 2007, 39(7): 1413-1420.
  • 5Triggs Bill. Autocalibration from Planar Scenes [C]// Proceedings of the 5th European Conference on Computer Vision. London, UK: Springer-Verlag, 1998, 1: 89-105.
  • 6Zhang Y, Zhang Z, Zhang J. Camera calibration technique with planar scenes [C]// Machine Vision Applications in Industrial Inspection XI. Santa Clara, CA, USA: SPIE, 2003: 291-296.
  • 7Tsai R. A versatile camera calibration technique for high-accuracy 3D machine vision metrology using off-the-shelf TV cameras and lenses [J]. IEEE J. Robotics and Automation, 1987, 3(4): 323-344.
  • 8Sturm P, Maybank J. On Plane-Based Camera Calibration: A General Algorithm, Singularities, Applications[C]//Proceeding of the IEEE Conference on Computer Vision Pattern Recognition, Fort Collins, Colorado, USA: IEEE, 1999: 432-437.
  • 9Tratnig M, Paul O L, Hlobil H, et al. Camera calibration, data segmentation, and fitting approaches for a visual edge insPection system [C]// Machine Vision Applications in Industrial Inspection Ⅻ. San Jose, CA, USA: SPIE, 200:42-51.
  • 10Hongwei G, Chengdong W, Lifu G, et al. An Improved Two-Stage Camera Calibration Method [C]// Proceedings of the 6th World Congress on Intelligent Control and Automation. Dalian, China: IEEE, 2006:9514-9518.

共引文献28

同被引文献4

引证文献3

二级引证文献6

相关作者

内容加载中请稍等...

相关机构

内容加载中请稍等...

相关主题

内容加载中请稍等...

浏览历史

内容加载中请稍等...
;
使用帮助 返回顶部