A high precision collaborative vision measurement of gear chamfering profile
- DOI
- 10.2991/ameii-15.2015.128How to use a DOI?
- Keywords
- collaborative vision; precision measurement; gear chamfering
- Abstract
In order to achieve higher measurement precision of the surface profile on chamfering gears in auto gearbox, this paper proposed a collaborative visual surface profile measurement system, researched image processing and measurement path planning algorithm in the system. The measuring process includes: collecting gear image using the area array image sensor, processing image edge, fitting gear center by utilizing edge points of the gear image, positioning local area through combining calibration algorithm. Then, planning measurement path according requirements, driving XY platform to carry high-precision point visual laser displacement sensors achieving local area of gear chamfering along the measurement path. Finally, processing the data obtained by laser displacement sensors and outputting measurement report. Experiments show that measurement accuracy of the system can attain 1 m when measuring the height (Z direction) of gear chamfering profile and 5 m when measuring the length(X direction) and width (Y direction) of gear chamfering profile. By combining their respective advantages of the two sensors, the collaborative vision measurement method which uses area array image sensor to achieve high-speed positioning and laser sensor can be used to improve the measurement precision for measurement of gear chamfering profile.
- Copyright
- © 2015, the Authors. Published by Atlantis Press.
- Open Access
- This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).
Cite this article
TY - CONF AU - Congling Zhou AU - Zengpu Xu AU - Chunming Cai AU - Yongqiang Wang PY - 2015/04 DA - 2015/04 TI - A high precision collaborative vision measurement of gear chamfering profile BT - Proceedings of the International Conference on Advances in Mechanical Engineering and Industrial Informatics PB - Atlantis Press SP - 689 EP - 694 SN - 2352-5401 UR - https://doi.org/10.2991/ameii-15.2015.128 DO - 10.2991/ameii-15.2015.128 ID - Zhou2015/04 ER -