Yarn Testing

Yarn Evenness CVm% to Thin & Thick Place Predictor

Imperfections live in the tail of the distribution, so they move far faster than CVm does. A point of evenness is never a point of imperfections.

Evenness Measured
%
cm
Sensitivity Thresholds
%
%

Thin Places

— per km

From the normal tail at the thin threshold

Imperfection Profile

Thick Places
— per km
Total Imperfections
— per km
Thin Threshold z-Score
—
Thin Event Probability
— per million
Equivalent U%
— %
Sensor Measurements
— per km

A normal-tail model is a useful first approximation and no more: real yarn faults cluster from drafting waves and periodic mechanical defects rather than arriving independently, so measured imperfections usually exceed this — sometimes by a lot. Compare against Uster Statistics for the count and process rather than treating the prediction as a specification.

Yarn Evenness CVm% to Thin & Thick Place Predictor — free, with the formula and a worked example, at Textile School.