Uster AFIS 6 now offers the key data for better decisions when blending recycled fibres. Process control is decisive in determining the quality and economic outcome. The new R Recycling Module of AFIS 6 introduces the Recycling Opening Index (ROI), so spinners can optimize their circularity credentials. It is officially launched at ITM 2026 in Istanbul, Türkiye.
Cotton recycling has become a strategic priority for brands, regulators, and technology providers because it directly addresses the textile sector’s biggest challenges: growing volumes of waste, resource scarcity, climate impact, and regulatory pressure.
Recycled waste and the use of it
Recent
industry data shows that most textile waste is post-consumer waste (75% by
volume) while post-industrial (pre-consumer) waste makes up around 25%.
However, when it comes to recycling – turning this waste into quality new yarn
– the situation is different.
Even
though it’s a smaller share of total waste, about 95-99% of post-industrial
waste is already being reused. Almost every scrap of factory waste is already
being collected and spun back into yarn. That’s because it’s clean, consistent,
and relatively easy to process.
Spinners generally see it as the safer option to start their recycling activities with post-industrial waste. These raw materials are more predictable in their behaviour, so it’s simpler to refine spinning techniques to suit them. An optimized process can then be developed for blending in pre- and/or post-consumer waste.
Controlling processes with recycled raw
materials
Now, objective measurement data from Uster is available to give clear
indicators of processability and profitability when using recycled raw
materials. This comes with the Recycling Opening Index (ROI), together with the
total yarn pieces value. The ROI is a metric in the Uster AFIS 6 R Recycling
Module, which describes the effectiveness of the opening process in the
recycling of cotton fibres. It is defined as the ratio of opened fibres to
remaining yarn pieces (hard ends). ‘Total yarn pieces’ means the sum of yarn
fragments present in the raw material that have not yet been fully opened into
individual fibres.
If a low ROI value is indicated, this suggests a poor degree of
opening, which can disrupt the spinning process and cause issues such as yarn
irregularity (IPI), weak spots and uneven surface structures.
So, the ROI is a vital metric for evaluating the quality of recycled cotton materials. For the first time, spinners can have a quantitative assessment of the opening process.
R Recycling Module of Uster AFIS 6
Uster AFIS 6 with the R Recycling Module supports better decisions
through real measurements. The concept of the Recycling Opening Index (ROI)
combined with the number of yarn pieces per gram, provides spinners with a more
precise evaluation of recycled material processing. The R Recycling Module also
offers advanced recycling parameter measurements, as well as a refined short
fibre content analysis with < 6.35 mm indicating the non-spinnable fibre
content. In addition, the module enhances fibre quality assessment by
incorporating detailed nep and fibre length parameters. The R Recycling Module
on AFIS 6 is an optional, on-demand feature designed exclusively for this
latest model.
The new module fits perfectly within Uster AFIS 6, with its expanded
measurement range for 100% synthetic fibres giving details of cut length and
denier/fineness, to help spinners make proper raw material selections. The
updated reporting package simplifies complex data analysis, and the integrated
Uster Statistics remains the essential tool for spinners to optimize
intermediate process steps – finally empowering full control of their
processes.
The new module fits perfectly within Uster AFIS 6, with its expanded measurement range for 100% synthetic fibres giving details of cut length and denier/fineness, to help spinners make proper raw material selections. The updated reporting package simplifies complex data analysis, and the integrated Uster Statistics remains the essential tool for spinners to optimize intermediate process steps – finally empowering full control of their processes.
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