Rubber parts testingThere are three problems in the detection of rubber parts: first, because most o
Rubber parts testing
There are three problems in the detection of rubber parts: first, because most of the rubber parts are black, easy to absorb light, it is not easy to light in the visual detection, leading to partial defects will be missed; Second, because most of the rubber parts are irregular, it is difficult to detect surface defects; Three, because of the characteristics of rubber parts, many times it is difficult to find the internal cracks and particles without stretching.
Machine vision has a very long history in the world development, and it has been more than 10 years since our country entered into actual industrial production. In the past ten years, visual inspection technology has been widely promoted and developed in industrial automatic production. However, the traditional appearance detection technology is mainly used for size detection, especially in the field of hardware and fasteners. Today, size inspection has been increasingly unable to meet the requirements of visual inspection, many customers require many aspects of product inspection, such as surface defect detection. Below, we will discuss the surface defect detection in the current existence of some problems and solutions.
According to different classification criteria, the surface defect detection of products can be divided into many categories: for example, according to the shape of the product, it can be divided into surface defect detection and irregular product surface defect detection. According to the product can be divided into metal parts surface defect detection and plastic parts surface defect detection. According to the detection requirements, it is mainly divided into all defect detection and partial defect detection. Although surface defect detection is divided into many kinds, in general, surface defect detection is mainly divided into the following aspects:
1. Contents of surface defect detection of plastic parts
1. Product arc surface and cylinder surface detection
Defect detection because different people have different definitions of defects, even if the same person under different lighting conditions, the definition of the same defective product is also different. Therefore, it is difficult to measure this defect in detail, and the detection of curved surface and cylindrical surface is more of a problem, because of the influence of camera and lens and other factors, it is difficult to detect the defects on different positions of the curved surface. At this time, some people may say that the product can be rotated, yes, but this will affect the detection speed, and speed is an important indicator for customers to investigate the feasibility of equipment.
2, product inner wall, inner hole detection
Due to the characteristics of lens itself, visual detection is difficult to detect the internal defects of products, especially the internal defects of some long and thin parts. Difficulty does not mean that it cannot be solved. After long-term experimental research, We has made great progress in the detection of oil-free bearing inner wall, needle roller bearing internal needle roller detection, screw internal thread defect detection and other aspects. At present, our testing equipment can fully detect the internal defects of these parts.
3, rubber parts detection
There are three main problems in the detection of rubber parts. One is that most of the rubber parts are black, which is easy to absorb light, so it is not easy to light in visual detection, leading to partial defects that will be missed. Second, because most rubber parts are irregular, it is difficult to detect surface defects; Secondly, because of the characteristics of rubber parts, many times it is difficult to find internal cracks and particles without stretching. The above three points determine the difficulty of rubber parts detection, which is also the reason why the current use of visual detection of rubber parts is limited. At present, the detection of rubber parts is still the difficulty of our whole industry. At present, the detection of large cracks and missing pieces is still a long way away, and the detection of rubber parts defects needs our continued efforts.
2. Application examples of visual detection of appearance defects of plastic parts and rubber parts
The rubber film valve of lithium battery is small in size and has small appearance defects. The effect of manual detection is not ideal, and the defect detection cannot be completed 100%.
After using the sorting machine, greatly improve the product quality of rubber film valve, reduce the labor intensity of workers, reduce the factory labor, save a lot of labor costs for the factory, at the same time, the sorting machine greatly improve the sorting speed, can be sorted more than 400pcs per minute. Shorten the delivery cycle of the factory to the customer, and win a good reputation for the customer.
