Study On Rolling Elements Missing Of Double Row Deep Groove Ball Bearing

In a double row deep groove ball bearing assembly process, the lack of rollingelement is the most common quality problem,currently, the domestic rolling elementdetection mainly relies on manual, but manual inspection methods are unreliable, suchas workers’ emotional and visual fatigue that prone to undetected and false detection,can not effectively ensure the qualified rate. Machine vision technology cancompensate for the lack of manual inspection, it not only significantly savesmanpower, but also improves the detection speed and accuracy, which achievedsynchronization automation of the production and testing, brought considerableeconomic benefits for bearing enterprises. At present, visual inspection of two rows ofrolling is still in its infancy.This paper presents a machine vision-based detection system for detection ofdouble-row deep groove ball bearing rolling element. When we collect Images of tworows of rolling in the traditional way, because of the smooth surface and interfere witheach other, the characteristic of element lack is not visible; we can not use the visualsystem to detect, so this system has developed a new type of hardware platforms anddetection software.The hardware platform consists of two parts, upper and lower machine, theupper machine composed of PC computer, it is responsible for the bearing imageprocessing and recognition, the lower machine use the microcontroller as the core,designed a dedicated control circuit, which is responsible of controlling sort bearingdefects and other implementing agencies. In order to achieve the automatic flip of thedouble-row bearing and improve the efficiency of detection, we extra designed atilting mechanism. When the system finished a rolling body detection, the other row ofrolling elements automatically flips the double-row bearings, achieved rapid detectionof rolling elements of the whole deep groove ball bearings. The software of system adopts a new algorithm,uses multiple concentric circlesto comply precise positioning of the bearing to be tested in the region, then it extractsthe rolling region with Expansion by ring scan method, and calculates the number ofrolling bodies by the area, compares the extracted area with the standard scan to lockthe lack location of rolling element, and then displays the tag of rolling element lackposition through the coordinate transformation, finally completed the testing.Compared to the previous machine vision systems, this system has a stable operation,fast and efficient anti-jamming.The system is tested on the assembly line of double row deep groove ballbearings, which proved it can effectively accomplish the detection of two rows ofrolling, achieved the goals of design.