Fiber classifier CLASSIMAT 5
laboratory

fiber classifier
fiber classifier
fiber classifier
fiber classifier
fiber classifier
fiber classifier
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Characteristics

Separated substance
fiber
Application domain
laboratory
Width

87 cm
(34 in)

Weight

152 kg
(335.1 lb)

Description

The classification of yarn defects and foreign matter is used to certify yarn quality and to optimize yarn clearing. Spinning to winding Short staple yarn Laboratory system Overview Quality classification – the full picture Uster Classimat 5 delivers all the traditional classification standards. Contamination of yarns with disturbing foreign matter is an on-going challenge in spinning mills. Uster Classimat 5 is the tool of choice for those who want to understand the nature and sources of these contaminants and to develop strategies to meet this challenge. Especially important are its powerful foreign matter tools for assessing colored foreign fibers, vegetable matter and polypropylene content! Three generations in one instrument Uster Classimat 5 provides classification values for thick and thin places from the two previous generation instruments, Uster Classimat 5 Quantum and Classimat 3. Assessing quality Uster Classimat 5 introduces a new standard known as the ‘Yarn Body' – which is a visual representation of the yarn profile and thick and thin disturbing outliers based on the Yarn Body. The Yarn Body profiles are specific to the mill, the raw material, the spinning processes and settings as well as the yarn count being spun. Pinpointing and classifying outliers Uster Classimat 5 introduces the measurement of outliers and provides detailed outlier information for all fault categories. Outliers are classified in neps, short thick, long thick and thin places (NSLT), foreign matter including polypropylene, and key quality parameters.

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*Prices are pre-tax. They exclude delivery charges and customs duties and do not include additional charges for installation or activation options. Prices are indicative only and may vary by country, with changes to the cost of raw materials and exchange rates.