Quantifying Loom Downtime Cost Recovery from Friction Defect Induced Warp Breaks
Excess warp breaks from friction defects add unabsorbed loom downtime costs recoverable through measured stop logging and laboratory coefficient of friction proof.
Uster Classimat
Defect Classification
High speed optical scanning classifies infrequent yarn faults according to their specific length and mass variations. Using a grid of standardized size classes, uster classimat provides a map of the thick and thin places found in a flax yarn sample. This tool defines the industry standard for determining the suitability of a yarn for high quality weaving or knitting.
Measurement Logic
Sensors monitor the yarn as it passes through the test zone at a high velocity and record every deviation from the mean diameter. These faults are then plotted on a multi-box matrix where the vertical axis represents the percentage increase in mass and the horizontal axis represents the length of the defect. The system distinguishes between short thick places like neps and long thick places that might indicate a problem in the drafting zone of the spinning frame.
For linen mills, this data is used to set the clearing limits on the winding machines to ensure that only acceptable faults remain in the final package. The result is expressed as a count of faults per one hundred thousand meters of yarn. This detailed breakdown allows the mill to pinpoint exactly where in the spinning process the errors are occurring.
High fault counts in specific classes usually indicate a need for machine maintenance or a change in the raw material blend.
Grading Quality
Buyers use the data from this system to verify that the yarn meets the physical requirements of the intended fabric. A high number of long thick places would lead to visible defects in a plain weave linen cloth. Providing a certified report from this equipment is a standard part of the export documentation for premium yarns.