Jinan Xinjinlong Machinery Co., Ltd., with its core strengths in modular design and customized services, tailors recycling production lines specifically for the characteristics of waste from garment, knitting, and weaving factories. This precisely addresses the pain points of waste disposal in different factories, making it the preferred partner for textile companies seeking waste resource recovery.
Garment factories commonly handle scraps and cutting waste. The company's custom production lines are equipped with precision cutting modules and metal separation devices, automatically removing impurities such as zippers and buttons. They are compatible with various garment fabrics, including pure cotton, synthetic fibers, and blends. A single unit can process 5-8 tons per day, with a fiber damage rate of less than 3%, significantly reducing manual sorting costs. For knitting factories' knitted fabric scraps and yarn waste, the custom production line integrates specialized equipment for knitted cotton spinning, supporting the recycling of fabric scraps up to 80 counts. By adjusting the carding density and speed, the uniformity of the recycled fibers is ensured. After implementing this system, one knitting company saw a 20% increase in production efficiency and a 15% reduction in raw material costs.
For woven fabric scraps and yarn waste from weaving factories, the production line optimizes the opening and carding processes, adopts a dual-roller differential speed design to improve opening efficiency, and uses a multi-stage filtration system to remove neps and impurities. The finished fibers can be directly reused in weaving production, achieving a closed loop of waste recycling. The company has a research and development team of over 50 engineers who can provide one-stop services from solution design and equipment customization to installation and commissioning, based on the factory's site size, waste output, and target fiber applications, ensuring precise matching between the production line and the factory's capacity and processes.