New Uster statistics data offers competitive gains

Uster Technologies, a provider of quality management solutions, announced that with its unique combination of expert monitoring of market trends and comprehensive statistical analysis, it offers spinners valuable insights into yarn quality optimisation. For example, there is evidence that fibre elongation depends more on type of cotton than on fibre length.

 

Uster Technologies, a provider of quality management solutions, announced that with its unique combination of expert monitoring of market trends and comprehensive statistical analysis, it offers spinners valuable insights into yarn quality optimisation. For example, there is evidence that fibre elongation depends more on type of cotton than on fibre length.#

Another evidence that Uster provided is that there are significant gains to be made from differentiating between seed coat and fibre neps. Both these facts offer spinners potential for competitive advantages, arising from new data categories in Uster Statistics 2018. This global benchmarking tool now includes revealing information about fibre elongation, as well as seed coat and fibre neps, and Uster explains how these can be exploited to improve yarn quality consistency.

 

Uster Technologies, a provider of quality management solutions, announced that with its unique combination of expert monitoring of market trends and comprehensive statistical analysis, it offers spinners valuable insights into yarn quality optimisation. For example, there is evidence that fibre elongation depends more on type of cotton than on fibre length.#

In conjunction with fibre tenacity, fibre elongation influences yarn elongation and the processing behaviour of the yarn, since higher values will typically perform better in the weaving mill. For this reason, it was obviously beneficial to include fibre elongation in the latest Uster Statistics.

 

Uster Technologies, a provider of quality management solutions, announced that with its unique combination of expert monitoring of market trends and comprehensive statistical analysis, it offers spinners valuable insights into yarn quality optimisation. For example, there is evidence that fibre elongation depends more on type of cotton than on fibre length.#

Analysis of Uster databases showed that the correlation between fibre elongation and yarn elongation of a combed cotton ring yarn is at a level of 85 per cent. Although the twist multiplier and yarn production speed have a huge impact on yarn elongation, the basis for high yarn elongation actually comes from the fibre. The elongation of cotton fibre conclusively depends more on the type of cotton than the fibre length.

 

Uster Technologies, a provider of quality management solutions, announced that with its unique combination of expert monitoring of market trends and comprehensive statistical analysis, it offers spinners valuable insights into yarn quality optimisation. For example, there is evidence that fibre elongation depends more on type of cotton than on fibre length.#

Uster stated that when engineering lay downs for yarn production, experts know which yarn parameters are influenced by certain fibre properties. It is possible to offset small deficiencies in one fibre property with an improvement in another. If a low fibre length might negatively affect yarn elongation and twist level, a slightly higher elongation in fibre could help.

 

Uster Technologies, a provider of quality management solutions, announced that with its unique combination of expert monitoring of market trends and comprehensive statistical analysis, it offers spinners valuable insights into yarn quality optimisation. For example, there is evidence that fibre elongation depends more on type of cotton than on fibre length.#

Ginning mills today increasingly focus on productivity rather than quality. At the same time, gins have not been upgraded to match the increased volumes of cotton. This suggests that a more accurate evaluation of cottons is now advisable for spinning mills. This can be achieved by assessing fibre neps and seed coat neps separately. The distinction between these two types of nep count is now possible in Uster Statistics and this allows more detailed analysis and new benefits compared with the previous data covering only the total nep count.

 

Uster Technologies, a provider of quality management solutions, announced that with its unique combination of expert monitoring of market trends and comprehensive statistical analysis, it offers spinners valuable insights into yarn quality optimisation. For example, there is evidence that fibre elongation depends more on type of cotton than on fibre length.#

Firstly, the mill can optimise lay downs to manage a specific nep component. It can also optimise the specific nep removal efficiency. The spinner can even predict more accurately the level of white spots showing in fabrics made from the yarn after dyeing. A high level of fibre neps, with a high proportion of immature fibres, can cause these white spots. By analysing the fibre nep level at the lay down stage, mills can adjust their processes accordingly – for example by focusing on fibre nep reduction during carding.

 

Uster Technologies, a provider of quality management solutions, announced that with its unique combination of expert monitoring of market trends and comprehensive statistical analysis, it offers spinners valuable insights into yarn quality optimisation. For example, there is evidence that fibre elongation depends more on type of cotton than on fibre length.#

With Uster Statistics 2018, spinners are recommended to adjust card settings and compare the sliver data with the fibre nep processing chart, to benchmark the data against other mills. Combined with monitoring maturity, spinning mills can avoid or reduce white spots. If these are discovered during processing, the yarn can be redirected into a different application such as bleached white t-shirts where immature fibre neps are less disturbing.

 

Uster Technologies, a provider of quality management solutions, announced that with its unique combination of expert monitoring of market trends and comprehensive statistical analysis, it offers spinners valuable insights into yarn quality optimisation. For example, there is evidence that fibre elongation depends more on type of cotton than on fibre length.#

“We could consider the lay down mixes used in yarn spinning as a ‘recipe’ and fibre quality parameters as the ‘ingredients’. We would then aim to adjust the ingredients to keep consistency in the recipe. With Uster Statistics, we can determine the relationship of fibre properties to yarn properties and from that we can learn how to adjust the ingredients of the recipe for optimal performance. This is important for cotton, as it is not always possible to obtain the same or similar fibre qualities year-in and year-out,” David McAlister, product manager fibre lab, Uster Technologies, said in a press release.