The Automatic Location and Alignment Device for Optical Fiber Preform Machine Tools
[1]XU Xianze,WANG Xingyu,LIU Panpan,et al.The Automatic Location and Alignment Device for Optical Fiber Preform Machine Tools[J].Journal of Zhengzhou University (Engineering Science),2020,41(06):1-6.[doi:10.13705/j.issn.1671-6833.2020.06.012]
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Journal of Zhengzhou University (Engineering Science)[ISSN
1671-6833/CN
41-1339/T] Volume:
41卷
Number of periods:
2020 06
Page number:
1-6
Column:
Public date:
2020-12-31
- Title:
- The Automatic Location and Alignment Device for Optical Fiber Preform Machine Tools
- Keywords:
- automatic alignment; dynamic threshold; edge detection; circle detection; coaxial detection
- CLC:
- -
- DOI:
- 10.13705/j.issn.1671-6833.2020.06.012
- Abstract:
- Aiming to solve the shortcomings of alignment time-consuming and low precision in the coaxial debugging of existing optical fiber rod deposition machine tools, a set of automatic positioning and alignment device with high accuracy and high stability was designed and implemented. Firstly, the radial distortion and tangential distortion were eliminated by the Zhang′s calibration method. Then, in order to eliminate the influence of noise and background on the subsequent processing, the images were pre-processed using Gaussian filtering, dynamic threshold and Canny edge detection to extract accurate image edges. Finally, a new arc classification circular detection algorithm was used to achieve the precise positioning of the center of the measured surface in the image. The scale and deviation of the image were determined according to the fitted circle; and the position of the machine tool chuck was adjusted to achieve the center alignment of both ends of the machine tool. When the camera resolution was 500×104, comparing the algorithm in this paper with several common circle detection methods, the average error and average positioning time of our algorithm were 0.047 mm and 244 ms, respectively, indicating that this algorithm was much better than other detection algorithm. The experimental results showed that the accuracy and efficiency of the device for machine tool alignment were significantly improved. When the camera resolution was 500×104, the system detection accuracy was less than 0.1 mm. This work could meet the requirements of machine tool coaxial inspection, and provide a fast and effective method for machine tool coaxial debugging.
- References:
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Last Update:
2021-02-10