- The variance-length curve is a graphical representation of the coefficient of variation (CV%) against reference cut length that is produced by evenness testers. It shows variations at different cut lengths and can identify where abnormal variations occur and what process may be responsible.
- The CV is calculated and plotted for different cut lengths by adding together the mass of successive portions of material. This allows faults from inferior raw material or machinery to be identified by higher CV values appearing at longer cut lengths corresponding to where the fault originated in the process.
- The variance-length curve of a faulty yarn will lie above the curve of an ideal, fault-free yarn.
- The variance-length curve is a graphical representation of the coefficient of variation (CV%) against reference cut length that is produced by evenness testers. It shows variations at different cut lengths and can identify where abnormal variations occur and what process may be responsible.
- The CV is calculated and plotted for different cut lengths by adding together the mass of successive portions of material. This allows faults from inferior raw material or machinery to be identified by higher CV values appearing at longer cut lengths corresponding to where the fault originated in the process.
- The variance-length curve of a faulty yarn will lie above the curve of an ideal, fault-free yarn.
- The variance-length curve is a graphical representation of the coefficient of variation (CV%) against reference cut length that is produced by evenness testers. It shows variations at different cut lengths and can identify where abnormal variations occur and what process may be responsible.
- The CV is calculated and plotted for different cut lengths by adding together the mass of successive portions of material. This allows faults from inferior raw material or machinery to be identified by higher CV values appearing at longer cut lengths corresponding to where the fault originated in the process.
- The variance-length curve of a faulty yarn will lie above the curve of an ideal, fault-free yarn.
- The variance-length curve is a graphical representation of the coefficient of variation (CV%) against reference cut length that is produced by evenness testers. It shows variations at different cut lengths and can identify where abnormal variations occur and what process may be responsible.
- The CV is calculated and plotted for different cut lengths by adding together the mass of successive portions of material. This allows faults from inferior raw material or machinery to be identified by higher CV values appearing at longer cut lengths corresponding to where the fault originated in the process.
- The variance-length curve of a faulty yarn will lie above the curve of an ideal, fault-free yarn.
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Variance –Length Curve
• The coefficient of variation at different cut lengths provided by the
evenness testers provides invaluable information with regard to the variations prevalent at the specific cut lengths.
• When the variations prevailing at different cut lengths are
simultaneously represented graphically, it provides the possibility of segregating cut lengths at which abnormal variations occur and consequently identify the process stage which is most likely to be responsible.
• This is made possible by the 'Variance Length Curve' which is a
standard feature of most evenness testers. • In simple terms, a 'Variance Length Curve' is a graphical representation of the Coefficient of Variation (CV%) against the reference cut length.
• The representation is explained with a simple hypothetical
example as shown in Figure.
• For constructing the variance length curve, the measuring
field length is taken as the basic cut length at which the CV is calculated and plotted. For variations at other cut lengths, the mass of successive portion of material are added up and the CV calculated. Shape of Variance Length Curve • A variance-length curve can be set out in quite a simple manner by cutting a fiber assembly into pieces and determining gravimetrically the mass of these pieces.
• The CV value is then calculated from each of these separate
values. If this procedure is repeated for various cut lengths and the CV value recorded, one obtains the variance-length curve .
5 Identification of faulty yarn
• When a yarn becomes faulty either due to an inferior raw
material or due to improperly optimized process or due to faulty machinery then the coefficient of variation becomes higher at cut lengths corresponding to the source of the fault.
• Therefore the variance length curve of a yarn with faults
always lies above the curve for the ideal fault free yarn as shown in Figure. 6 3D V-L Curve
• Different levels of long-term mass variation, which are
also clearly visible in the corresponding cut length diagrams, appear as different inclinations of the variance-length-curves.
• In a variance-length curve array it is very easy to spot
exceptional samples. 7 How to calculate ideal V-L Curve?
The minimum possible
VL curve is plotted in Red Color by using the above formulae
• number of fibres in the cross section(n)=117,
• i =Mean Fibre length=22mm, L= Cut length = 100mm
• CVlim(10cm)=(100/√117) X (√22/√100) = 4.33 8 Location of Sources of Deviation
• A fault created at any process stage creates higher CV
values at longer cut lengths. • The cut length at which the maximum deviation occurs depends on the stage at which the fault originates since subsequent drafting increases the cut length at which the deviations are noticed. • For this purpose, the cut length ranges corresponding to the various departments should be identified. This is done by the following procedure. • Initial Cut Length l (cm) = Mean Fibre Length x K where K =1 + CV 2 (CV - Coefficient of Variation of fibre length) • K ⋍ 1.18 for Cotton, K ⋍ 1.27 for Wool and K ⋍ 1.00 for Synthetic Fibres.
• If the mean fibre length is not available, it can be estimated
from the spectrogram, since the highest point of a spectrogram is given by
• max = l x 2.82 (where l – Mean Fiber Length)
• Consequently l = max / 2.82 11 12 13 14 THANK YOU