Fibre Uniformity
Long staple linen preparation depends on measuring unevenness across continuous strands, and Zweigle G566 performs this physical evaluation for flax processors in Chinese spinning mills. Regularity testers detect linear mass variations by drawing slivers through optical or capacitive sensors at constant speeds, translating density fluctuations into numerical coefficients of variation. Raw flax slivers exhibit high natural dispersion compared to processed cotton, so automated irregularity profiles prevent downstream drafting faults from reaching the ring frames.
Modern processing sheets record these electronic test results before yarn clearing stages commence, separating internal mill quality control parameters from final buyer acceptance limits.
Drafting Control
Fault distribution curves derived from such testing reveal drafting faults caused by worn gill pins or incorrect roller settings in preparation machinery. Operators use variance-length curves to locate mechanical periodicities within sliver drawing frames, isolating periodic defects originating from eccentric rollers or faulty gearing. Staple length irregularities inherent to scutched flax fibres require precise control over break drafts to avoid fibre breakage during subsequent drawing passages.
Spinning superintendents adjust drafting zones according to the variance spectra generated during testing, maintaining uniform linear density throughout the roving production stage.
Acceptance Criteria
Export contracts demand strict adherence to specified mass variation limits, and purchasing houses reject lots exceeding agreed irregularity thresholds upon delivery. Laboratory technicians verify compliance by comparing test outputs against commercial guarantees stipulated in the sales agreement, establishing whether the delivered material meets international spinning standards. Certificate documentation accompanying the spun yarn references these laboratory evaluations, confirming that preparation machinery operated within acceptable variation limits during production.
Final settlement values frequently depend on these recorded irregularity values, protecting buyers from substandard raw material integration.