The Uster Group, a
high-technology instrument manufacturer of products for quality measurement and
certification of textiles, has announced that Uster experts will provide
information on the Uster Tester 6 machine at the 15th Dhaka International Textile and
Garment Machinery (DTG) expo, in Bangladesh, from February 8 to 11, 2018, in hall
6, booth 606.
Uster Tester 6 is more than the ultimate evenness tester: it is
also the gateway to wider potential benefits for mills, integrating data from
other Uster quality measurement sources to create a real total testing centre.
Bangladesh mills have been quick to recognise these extended advantages, and
several Uster Tester 6 units are already in operation in Bangladesh, as well as
in the rest of South East Asia. The sheer speed of the Uster Tester 6 – without compromise on
quality – is hailed by all the spinners. The test speed of 800 m/min also
provides highly reliable and extremely accurate results, thanks to the new
capacitive and optical sensors. Companies also report increased efficiency in quality management, with feature such as
the graphical presentation of ‘timeline’ reports – analysing the product with a
long-term perspective and providing quality data over a pre-defined time.
In fact, the Uster Tester can provide essential data for any
parameter describing yarn appearance – taking in well over a hundred different
factors – using its in-built yarn testing functions, as well as through
connections with other Uster testing and monitoring systems. This totally-integrated facility leverages the value of the
information and provides practical insights into the entire yarn production
sequence and downstream processes. This enormous mass of data requires built-in
intelligence to transform it into quick and easy-to-follow guidance for the
spinner. Quality alerts provide an early warning of potential issues, allowing
spinners to identify and remedy any faults likely to cause second-quality
material. Objective guidance helps spinners to categorise quality levels, using
the so-called ‘yarn grades’, while critical questions about a yarn’s
performance in subsequent processes are answered by intelligent forecasting of
fabric appearance, pilling resistance and overall ‘weavability’.