USTER STATISTICS is acknowledged throughout the global textile industry as THE essen-tial tool for comparing key parameters along the entire yarn production chain, from raw fiber through sliver and roving to the final yarn.
The USTER STATISTICS program has a pedigree dating back to 1948, when the first evenness tester for yarns was introduced in spinning mills. This laboratory system enabled the mass varia-tions of yarns to be recorded via paper printouts. Soon, however, USTER noted a demand from spinning mill quality managers for a method allowing statistical calculation of evenness – to provide the basic data for a quality management system that would help determine and improve yarn char-acteristics.
For this purpose an analog computer was developed to calculate the evenness, and this was later enhanced by the addition of a counting system for thin places, thick places and neps. By 1955, the addition of a Spectrograph for the determination of periodic faults in yarns meant that Uster Tech-nologies was able to offer a complete laboratory evaluation system.
At the same time, mill owners and spinning managers had been asking Uster Technologies to devise a method of benchmarking yarn characteristics such as evenness, thin places, thick places and neps, to enable them to compare their own mill quality data with those of other producers worldwide.
In response to these demands, Uster Technologies introduced the first USTER STATISTICS in 1957. This statistical data for yarns was first published by the German textile journal ‘Melliand’, with subsequent editions being printed as part of the USTER News Bulletin series – becoming, over the years, the most authoritative guide to yarn quality parameters.
Ongoing developments by Uster Technologies have seen several innovations in the range of in-struments and sensors for spinning mills, widening still further the range of quality characteristics covered, and these new possibilities are reflected by benchmarking figures in USTER STATISTICS, as follows:
• Quality characteristics for cotton fibers
• Changes in fiber properties within the entire spinning process
• Quality characteristics of slivers, rovings and yarns
• Relationships between fiber and yarn characteristics
USTER STATISTICS provide benchmarks for seven laboratory systems, they are recog-nized more than ever as an indispensable tool for mill owners, managers and technologists along the entire textile chain.
