USTER®, Statistic aims to reshape the sense of yarn quality with its study which will be presented by the end of 2013.The firm aims to reduce the failure rate of the results of yarn quality parameters with the concept which contains new applications. Yarn production, which has a critical importance in textile supply-chain, requires to be obtained results in global standards. The statistics which USTER® will present in 2013, will give clean results about the prolificacy of several kinds of yarn parameter. The quality of parameters comprised for hairiness, the biggest problem especially for knit fabrics, will help production to be faultless.
USTER® Statistic is especially preferred for the reason of evaluating the internal performance and determining the key points for production optimization. The data obtained from USTER® test equipment is compared with the help of USTER® Statistic. And this brings producers both the advantage of cost and quality. And also, the compared quality enables the firm to be at the top in the competitive environment. USTER® Statistic also gives a chance to compare the equipments of all players in the textile supply-chain.
Fertelisitation In Yarn Severing
According to results of tests, the performance of machine and the quality of yarn are increased by reducing the unnecessary severange to minimum in the process of yarn severing and separation of herbal foreign materials from other colored faults. The raw material used in yarn production might be given as yarn casing and the cleaning limits’ distance to the yarn casing can be seen independently of mix proportions and yarn thickness.
Determining Hairiness Rate Is Vital
As hairiness seriously impacts on both appearance and durability of cloths, certain analyses of yarn hairiness are also important for a lot of textile applications. Variations of hairiness and hairiness occurring in the operation of textile yarns create cloth failure at high rate like fifteen percent. As a result, cloths at high hairiness levels create more emergences at knitting machine. While decreasing of performance decreases fertility of production centers, it also causes to happen below expectation quality of cloth appearance and durability. USTER®firstly providing to determine like this problems offers more advantageous options such as statistic, productivity and ensuring fast performance. The firm aims to prevent previous problems with 2013 data.
During weaving which should mostly be paid attention in the field of textile, resistance and elongation of yarn are important in terms of quality of final product. It is vital to happen process of elongation and relaxation of yarn without stopping during a lot of loop operation. USTER® wanting problems to decrease measures with USTER® TENSOJET 4 taking attention thanks to technology testing truly performance of yarn.
Statistic Manifesting Quality
Yarn producers want to stay away from complains or pretensions of customers at the market of yarn which has a lot of competitors. More expensive raw material prices make it important. These solutions which were offered by USTER® are designed to rescue yarn producers from this difficult process. Final yarn cleaning options technology which was offered by USTER® displays every meter of yarn during automatic bending. These smart cleaning characteristics provide to destroy disturbing faults. It keeps away quality of yarn from excessive machine and thanks to this it provides optimum balance between quality and productivity by decreasing number of gash.
Explanation Will Be At The End Of The Year
Statistic which was updated with addition of new classification standards like USTER® CLASSIMAT 5 will explain at the end of the year. USTER® Statistic 2013 aims to determine quality which is needed to final product from raw material. It also aims producers to direct for reaching this quality. While impact of quality parameter on application and impact of the level of staple on fluff are simply described by using USTER® Statistic, data will clearly appear such as S3 hairiness, elongation levels and other quality parameters.
