A Real-Time and On-Line Visual System for Seamless Steel Pipe Linearity Measurement

Abstract:

Article Preview

Linearity is a very important parameter for seamless steel pipes. A real-time and on-line visual measurement system for seamless steel pipe linearity is presented. The system consists of several structured-light visual sensors. Each sensor can achieve the coordinate of the center of partial steel pipe in its local coordinate system. Through global calibration, all coordinates measured can be transformed into an integrated coordinate system. The linearity error of steel pipe can be assessed. This method can fulfill 100% on-line and real-time linearity measurement. A pair structure-light sensor is designed to improve accuracy and a suspension-wires method for sensor calibration and global calibration is used. Through experiments, it shows that the method not only meets the need of precise calibration but also significantly improves the efficiency and feasibility.

Info:

Periodical:

Key Engineering Materials (Volumes 295-296)

Edited by:

Yongsheng Gao, Shuetfung Tse and Wei Gao

Pages:

393-398

DOI:

10.4028/www.scientific.net/KEM.295-296.393

Citation:

C.J. Liu et al., "A Real-Time and On-Line Visual System for Seamless Steel Pipe Linearity Measurement", Key Engineering Materials, Vols. 295-296, pp. 393-398, 2005

Online since:

October 2005

Export:

Price:

$35.00

[1] Y. Zhang, P. Liu and X.S. Hu: Journal of Northeastern University, Natural Science, Vol. 18 (1997), p.142.

[2] Y. Zhang and L. Zhang: Journal of Astronautic Metrology and Measurement, Vol. 12 (1994), p.1.

[3] Y. Tsai: IEEE Journal of Robotics and Automation, Vol. RA-3 (1987), p.323.

[4] F. Wang: Research for Optimized Design and Calibration Methods of Visual Sensor (Tianjin University, China 1999).

[5] F. Duan: Research for Basic Theory and Appliance Technology of Computer Visual Examination (Tianjin University, China 1994).

[6] C. Wang and D. Zou and S. Ye: Journal of Apparatus and Instruments, Vol. 15 (1994), p.119.

In order to see related information, you need to Login.