InGaAs Sensor Selection for Foreign Matter Detection
Select standard InGaAs for cost-effective detection up to 1700 nm, or cooled extended InGaAs to capture 2200 nm polypropylene combination bands cleanly.
Uster Statistics
Quality Benchmark
International reference values provide the standard for comparing the quality of fibers, yarns and slivers across the global textile industry. These uster statistics are compiled from thousands of tests conducted on production samples from mills worldwide. They allow spinners to see how their yarn ranks against the rest of the market in terms of evenness, strength and hairiness.
A yarn that falls in the top five percent is considered to be of exceptional quality.
Variation Coefficient
Measurements of mass variation along the length of the yarn are a primary component of the data. The uster statistics define the expected levels of thin places, thick places and neps for different yarn counts and materials. This information is used to set the clearing limits on winding machines to remove unacceptable defects.
Managing these variations is essential for producing fabric with a uniform appearance.
Global Reference
Trading contracts between fiber producers and spinning mills often specify quality levels based on these percentiles. Using the uster statistics ensures that both parties are using the same terminology and measurement methods. This standardized language facilitates international trade by providing a clear definition of what constitutes a premium or a standard grade product.
Process Optimization
Mill managers analyze their own test results against the benchmark to identify weaknesses in their production line. If a mill finds that its yarn hairiness is higher than the average in the uster statistics, it may indicate a problem with the ring frames or the traveler settings. Continuous monitoring allows for data driven decisions that improve the overall efficiency of the spinning process.