Research on automatic detection technology for the compensation hole shape and position parameters of a brake master cylinder

Abstract

Machine vision is a key technology to achieve high detection accuracy for the compensation hole parameters of automobile brake master cylinders, which influence automobile safety and parking reliability. As an important part of the automobile brake master cylinder, the compensation hole can play an important role in regulating the brake fluid in the reservoir tank and brake chamber, and its dimensional accuracy and processing quality are strictly controlled. Therefore, determining how to accurately obtain images of the compensation hole is a primary problem in the detection of compensation hole parameters. In this paper, fully automatic equipment for compensation hole detection in automobile brake master cylinders is designed using an image processing algorithm to realize the automatic positioning of the compensation hole and automatic detection of size parameters. Experiments show that the automatic positioning and detection time for the compensation hole is less than 8 s, the detection accuracy of the compensation hole size is higher than ±0.021 mm, and the position detection accuracy for the compensation hole is higher than ±0.045 mm. The compensation hole detection technology proposed in this paper provides high real-time performance and good robustness while meeting accuracy requirements and detection speed.

Machine-vision-based intelligent robotic replacement system of grinding-wheel-saws for steel round bar sawing machine

“…In this study, the coordinate calibration method developed by Zhang was applied. [28][29][30][31] (2) In this study, the template matching approach 28,[32][33][34] was used to evaluate the position of the central axis of the hex nut. The images of the hex nut captured by the digital camera are firstly operated the image pre-processing.…”

Machine-vision-based Spindle Positioning System of Grinding-wheel-saw Automatic Replacement System

“…Machine vision is the main technology used to achieve high detection accuracy for the identification of an object and its orientation. In the literature, the most commonly applied methods for object detection have been template matching methods (25)(26)(27)(28) and feature-point matching methods. (29,30) Because the shaft nut on the spindle of the round bar sawing equipment is hexagonal and symmetric, the developed template matching approach is applied in this work.…”