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Uster Statistics 2018 delivers wide-ranging benefits for business improvements

A major breakthrough in global quality benchmarking for textiles came in October with the launch of the 2018 edition of USTER® STATISTICS in a mobile app format*. The app delivers a new user experience, with simple, intuitive handling. What else is new with USTER® STATISTICS 2018? Extended datasets and analyses, based on testing of many thousands of samples, cover a wider range of yarn types and applications than ever before. Iris Biermann, USTER’s Head of Textile Technologies, presents the major features and reveals valuable, profit-boosting insights for spinning mills in this special interview.

Iris Biermann Uster Statistics 2018
Figure: Iris Biermann, USTER’s Head of Textile Technologies

Textile Today: This is probably not the only new feature?

Iris Biermann: Far from it. For example, there is now a new distinction between AFIS® seed coat neps and fiber neps, to optimize laydowns. These values mean spinners can also optimize efficiency in removing neps during further process steps, such as carding, as well as predicting more accurately the level of white spots on fabric after dyeing. As we know, the root cause of these white spots is a high level of fiber neps with a high proportion of immature fibers. The big advantage of reliably predicting the appearance of white spots – thanks to USTER® STATISTICS 2018 – is to minimize the risk of claims.

Textile Today: What other improvements can be achieved by studying the STATISTICS data?

Iris Biermann: For USTER® STATISTICS 2018, we used a new source for sliver and roving data. These are now based on USTER® TESTER generations 5 and 6. Personally, I recommend greater use of the STATISTICS to evaluate sliver and roving quality, with respect to evenness. A finisher sliver with poor evenness will be incapable of producing a yarn with good evenness. We know this from general experience. From a low-quality finisher sliver, a low-quality roving will be produced, ending up with a yarn of low quality, based on the evenness level.

USTER® STATISTICS still assists the industry to determine fair market prices for a given yarn quality. That’s a big help for yarn producers, yarn consumers, and traders alike.

Iris Biermann, USTER’s Head of Textile Technologies

Textile Today: So would that be the end of the story for this product?

Iris Biermann: Not exactly. Some collected samples did prove this, but from a careful examination of all sample data, it is interesting that other finisher slivers – with a similar low quality – resulted in a medium quality rovings. In this case, we can conclude that the mill did a good job of processing the slivers. I assume they chose the perfect machine settings for drafting, for instance. And I’m convinced that their machine maintenance is at a high level, so that the top rollers are in optimum condition. To elaborate on this, the latest USTER® NEWS BULLETIN No. 51 shows examples of how spinners can benefit from the detailed sliver and roving data in USTER® STATISTICS 2018.

Textile Today: What other production benefits can spinning mills gain from the STATISTICS?

Iris Biermann: The HL sensor of USTER® TESTER 6 offers new values which provide a clear business advantage, as there is a strong correlation between yarn hairiness and fabric behavior. If spinners compare the new hairiness values provided by the Tester with USTER® STATISTICS 2018, they will, for example, obtain more sensitive indicators about traveler change cycles. Trials have shown that a mill can optimize traveler change cycles based on the S1+2u values – saving money and extending traveler working lifetimes. At the same time, the yarn quality stays consistent at the required level and fabric appearance does not change either.

Textile Today: It’s clear that USTER® STATISTICS offer great advantages to spinners. What makes them so important to the wider textile industry?

Iris Biermann: As with the very first edition in 1957, USTER® STATISTICS still assists the industry to determine fair market prices for a given yarn quality. That’s a big help for yarn producers, yarn consumers, and traders alike. The many years of meticulous testing of yarns – as well as fibers, slivers, rovings, cops, and packages – generates data which means much more to the textile industry than just benchmarks. USTER data and USTER equipment make the perfect combination for managing a textile mill with quality in mind.

Textile Today: Thank you, Iris, for your illuminating and practical explanation of the benefits of USTER® STATISTICS 2018.

Also Read: Uster enters a new dimension with USTER® STATISTICS 2018

If anyone has any feedback or input regarding the published news, please contact: info@textiletoday.com.bd

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