Volume 14 Issue 5
Sep.  2021
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ZHAO Chang-fu, DING Hong-chang, CAO Guo-hua, HOU Han. Image aided measurement of the automotive brake master cylinder compensation hole normal line[J]. Chinese Optics, 2021, 14(5): 1212-1223. doi: 10.37188/CO.2020-0219
Citation: ZHAO Chang-fu, DING Hong-chang, CAO Guo-hua, HOU Han. Image aided measurement of the automotive brake master cylinder compensation hole normal line[J]. Chinese Optics, 2021, 14(5): 1212-1223. doi: 10.37188/CO.2020-0219

Image aided measurement of the automotive brake master cylinder compensation hole normal line

Funds:  Supported by the National Major Scientific Instruments and Equipment Development Project (No. 2017YFF0105304); Key Research and Development Project of Jilin Province Science and Technology Development Plan (No. 20200401117GX); Jilin Province Provincial Industrial Innovation Special Fund Project (No. 2018C038-4)
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  • With the increase in cars on the road, the reliability of automobile braking systems has received increasing attention. The detection accuracy of the compensation hole’s parameters of an automobile’s brake master cylinder based on machine vision is key to determining automobile safety and the reliability of parking technology. As an important part of automobile brake master cylinders, the compensation hole can play an important role in regulating the brake fluid in its reservoir and pressure chamber. Its dimensional accuracy and processing quality are strictly controlled, so accurately obtaining an image of the compensation hole is a priority in compensation hole parameter detection. By introducing the correction method of plane drilling rivet hole normal line into the image acquisition process, the four-point micro-plane normal line detection method is combined with image processing to realize high-efficiency and high-precision normal line correction. Experiments show that the algorithm's normal alignment accuracy is higher than 0.05°, which is better than the traditional detection accuracy of 0.5°, and the detection time is less than 1 s. The algorithm proposed in this paper is simple and has good real-time performance while meeting accuracy requirements. It also has good robustness and meets the requirements of the brake master cylinder production industry for detection speed and accuracy.

     

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