With regard to the demand for diapers, sanitary napkins(China SS nonwovens on sales) and other household papers, the market demand for non woven fabrics and quality is also increasing. Since non woven fabrics are the main substrate for diapers and diapers, the surface quality will directly affect the quality of the finished product and the safety of later users. Due to the current production environment and production process of domestic non woven fabrics, the surface of the material in the production process is prone to defects such as mosquitoes, dark spots, metal iron filings, stains, slurries and impurities. Due to the high production speed and small product defects, the traditional artificial visual inspection cannot meet the hygienic quality standards.

The non woven dyeing detector runs at a high speed on the non woven fabric(hydrophilic non woven fabric factory) production line. 7 * 24 hours online surface flaw detection high speed, high precision, and later affects the quality of mosquito products, black spots, impurities, foreign bodies, stains, pulp blocks and other defects automatically detected and alarmed. While improving product quality, it saves labor costs and improves the competitiveness of enterprise products. Non woven dyeing detectors have been recognized by more and more non woven fabric companies, becoming an indispensable part of high-speed, high-quality production.

Considering the uneven thickness, the material properties of the structurally sparse non woven fabric(hygiene non woven materials vendor), and the randomness of the defect distribution (front, back and middle of the non woven fabric), the conventional light-transmitting illumination method is liable to cause system leakage and false prompts. The non woven dyeing tester adopts the shadowless light field test environment, that is, the light transmittance at the bottom of the material and the light source above the material reflection. At the beginning of the production line operation, the CCD camera synchronously scans the signal based on the speed of the encoder, and collects The image realizes the dynamic segmentation algorithm through the image analysis software, and finds the defects and performs alarm, statistics, classification, recording and other operations through the gray difference between the defect image and the normal product.

The above is our simple talk about the all-mechanical non woven fabric detection situation, please pay more attention to us for more information.