Automation is not new to the industrial knitting equipm […]
Automation is not new to the industrial knitting equipment market or the textile industry. However, it has its limitations. Garment manufacturers can produce thousands of identical-looking knitted apparel in a day with the current machinery. The current scenario overlooks the demand for custom-designed apparel which has been on a rise. Textile manufacturers, however, have been unable to capitalize on the trend owing to the lack of expertise and equipment required to produce custom-design apparel.
A recent breakthrough in the knitting industry finally shows the potential to open up new prospects in the textile market.
A braiding machine is a type of device used to interweave or knit three or more strands of a material in order to form a rope-type structure. The strands are made of synthetic or natural yarns, leather tapes and metal wires and interleaved so as to form covered power cords, rope reinforced hoses, etc. The braiding process of the braiding machine includes twirling strands of fiber into a bunch of yarn, then two or more yarns are warped together so as to form another strand, which is then coiled against reels or cylinder. The reels or cylinder (bobbins) are mounted on a carrier, which is connected to the braiding machine to finally make a braided yarn.
Monitoring systems to observe and note the operations of knitting machine offer the potential to evaluate the performance of a machine which, in turn, aid in the calculation of the overall productivity of the plant. A crucial aspect that influences the quality and the quantity of production in industrial knitting is the number of faults a machine commits while operating.
The information about the frequency and extent of faults allows manufacturers to plan production and evaluate the overall productivity of the plant. Ongoing research in the area aims to detect, identify, and locate the faults committed by knitting machines during production by monitoring the yarn input tension. The system can potentially help garment makers in identifying flaws in production and address them to enhance quality and productivity. Such developments are expected to aid in improving the quality of industrial knitting equipment.