A Study on the Key Technology of the Online Measurement Device for Joint Internal Thread

Article Preview

Abstract:

This paper describes the design and realization of an online measurement device used for Joint Internal Thread. The online measurement device adopts the principle that the shaft section of two dimensional tooth profile of Joint Internal Thread was obtained with the passive contact method. A novel first derivative segmentation method based on the dynamic linear regression was used to classify and identify the two-dimensional tooth profile data. The basic and derived parameter of Joint Internal Thread was then quickly calculated. The tooth height of Joint Internal Thread was used as the traceable standard to calibrate the online measurement device. The comparison between field experiment data and manually measured data shows that the online measurement device is a rational design which works stably, shortens the measurement time largely, and improves the efficiency. The measured results satisfies the accuracy requirement.

You might also be interested in these eBooks

Info:

Periodical:

Pages:

864-870

Citation:

Online since:

December 2014

Export:

Price:

* - Corresponding Author

[1] Zhou Qiang and Zhang Huihui, Application of First Differential Grouping Method Based on the Dynamic Linear Regression in Thread Testing, Journal of Beijing Polytechnic University, Vol. 26, No. 4, 20-23.

Google Scholar

[2] Merkac T P, Acko B. Comparising measuring methods of pitch diameter of thread gauges and analysis of influences on the measurement results[J]. Measurement, 2010, 43(3): 421-425.

DOI: 10.1016/j.measurement.2009.12.012

Google Scholar

[3] Bluvshtein, Ilia G., On-line calibrated measuring systems and their characteristics, ISA Transactions Volume: 36, Issue: 3, 1997, pp.167-181.

DOI: 10.1016/s0019-0578(97)00025-6

Google Scholar

[4] Postlethwaite, S. R.; Ford, D. G.; Morton, D., Dynamic calibration of CNC machine tools, International Journal of Machine Tools and Manufacture Volume: 37, Issue: 3, March, 1997, pp.287-294.

DOI: 10.1016/s0890-6955(96)00038-7

Google Scholar

[5] Aguilar J J, Torres F, Lope M A. Stereo vision for 3D measurement: accuracy analysis, calibration and industrial applications[J]. Measurement, 1996, 18(4): 193-200.

DOI: 10.1016/s0263-2241(96)00065-6

Google Scholar

[6] Busch K, Kunzmann H, Wäldele F. Calibration of coordinate measuring machines[J]. Precision Engineering, 1985, 7(3): 139-144.

DOI: 10.1016/0141-6359(85)90036-4

Google Scholar

[7] Wei Z, Haiying W, Liyong Z, et al. Measurement Technique for 3D Surface Profile[J]. Journal of Northeast Forestry University, 2002, 31(5): 52-53.

Google Scholar

[8] Probability theory and mathematical statistics [M]. Higher Education Press, (1988).

Google Scholar

[9] Sheng Zhou, Xie Shiqian and Pan Chengyi, Probability and Statistic, Beijing, Higher Education Press, 241-284(1989).

Google Scholar