quality.ppt - waiban.zut.edu.cnwaiban.zut.edu.cn/foreign/files/file/28quality.pdf · irregular...
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Yarn QualityParameters for Routine Quality Control
Mass variation (unevenness)Tensile properties
Other Quality ParametersHairiness
Handle
Abrasion resistancePilling resistance
Surface frictionSurface frictionRigidityCompressibility
Lustre …….Thermal properties
Measuring Yarn Evenness
Cutting and Weighing
W1 W2 W3 ……………….. Wn
Time consuming
Fundamental principleReference for indirect methods
DestructiveRequires very sensitive weighing instruments(especially for short term variations)
Measuring Yarn Evenness
Mechanical Methods
Pressure Thickness
Length
Gap is measured and recorded
Fixed Roller
Measuring Yarn Evenness
Mechanical Methods
Non-destructive
Faster than cutting and weighing
Speed of response limited
Irregular shape of the yarn cross section limits correlation between measured yarn thickness and fibre mass
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Measuring Yarn Evenness
Mechanical Methods
Mainly for thick/soft fibre strands e g slivers (card drawframe)Mainly for thick/soft fibre strands e.g. slivers (card, drawframe)
Optical Method
Measuring Yarn Evenness
Photoelectric
Light Source(Visible orInfra-red)
Yarn
Sensor(Transmitted Signal)(Reflected Signal)
BARCOPROFILE
Measuring Yarn Evenness
Optical Methods
Fast
Non-destructive
Fast
Can detect yarn appearance variation (colour, foreign fibres, twist variation, hairs )
Not affected by climate conditions
Apparent diameter does not always correlate to yarn mass (irregular shape, twist variation)
hairs….)
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Measuring Yarn EvennessCapacitive Methods
Capacitor
Yarn
ElectronicSignal
Capacity depends on:AreaDistanceDielectric constant
Dielectric constant proportional to
yarn mass
Capacity changes indicate yarn mass variation
Measuring Yarn Evenness
F t
Capacitive Methods
Non-destructive
Fast
Cannot detect yarn appearance variation (i t t t f b i )
Sensitive to mass variation
Require standard condition (measurement affected by temperature and moisture)
(important to fabric appearance)
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Measures of Yarn Mass Variation
Coefficient of variation (CV%)
Yarn mass in n samples (same sample length):
x1, x2, x3………………………………….xn
X = mean of all xi = Standard Deviation
2Xxi
CV% = 100/X
1n
Measures of Yarn Mass Variation
Diagram
Length
Mass
Length
Limit Evenness of StapleLimit Evenness of Staple--Fibre YarnFibre Yarn
Perfect fibre arrangement:
Random fibre arrangement
Limit Evenness(cotton): nLimit
CV 100%
n = average number of fibre is yarn cross section
Limit Evenness of Staple-Fibre Yarn
Example
Yarn: 30 tex; Fibre: 2 dtex
n = 30 / 0.2 = 150
%8150
100% L
CV150Limit
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Limit Evenness of Staple-Fibre Yarn
Li itCV 100%
nLimit
Thicker yarn Finer fibre
Greater n
More even yarn
Evenness Index ( I ) =
Measured CV% / CV%-limit
Additions of CV
Process adds CV2
22 CVCVCV
Input with CV1 Output with CVtotal
22
21
CVCVtotal
CV
Roving Frame
Example
22
Sliver CV = 3% Roving CV = 8%
22
21
CVCVtotal
CV
2328 frameroving
CV
= 7.4%
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2007
20%
45%
13%
22%
13%
1997
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Count Variation (CVcb)
Yarn mass variation measured by taking one skein (100 m or 120 yds) of yarn from 20 packages
Usually less than 3%
Fabric Fault Caused By High Count Variation
Count variation is long term variation
Causes are faults in earlier process stages
Opening
Carding
Drawing
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Measured CV is dependent on the sample (cut) length
Longer sampling length normally results in lower CV due to averaging effect
Variance-Length Curve
CV% plotted against Sample Length
CV%
Ideal yarnGood yarn
Yarn with high variation at sample length L
Sample Length
=26.6oIdeal yarn
L
Variance-Length CurveIdentifies non-periodical variations of particular sample length
Each spinning stage can be identified by a yarn sample length
L = k lw Dt
k depends on fibre
For cotton:
Lw = average fibre length (weight based)
k = 1.18
For cotton:
Dt = total subsequent draft to yarn
Cotton Fibre Lw = 26 mm
Example
Blowroom CardingD1=150
2nd DrawingD3=8
1st DrawingD2=8
RingframeD5=30
RovingD4=10
Lring=1.18x26=31mm
Lroving=1.18x26x30=0.92m
Ldraw2=0.92x10=9.2m
Ldraw1=9.2x8=74m
Lcard=74x8=600m
Lopen=600x150=90km
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2
1
Roving 2nd Drawing 1st Drawing
Periodic Variation
Due to averaging effect, variance-length curves cannot indentify periodic variations
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Spectrogram
Usually a time-frequency-amplitude plot
For textiles, it is an amplitude-wavelength plot
Wave velocity = frequency X wavelength
In yarn testing, yarn speed is known, so wavelength and frequency can be calculated from each other
The amplitude of any frequency (wavelength) is obtained by Fourier Transform
SpectrogramAmplitude
Natural staple fibres (cotton)
Cut staple (constant l )
Wavelengthl
2.7l2.82lw
Common Periodic Yarn Faultson Spectrogram
Amplitude
Hill (Drafting Wave)Chimney
(Mechanical Defects)
PHarmonics
Wavelength
B
When P/B > 0.5, faults are likely to show in fabric
Example: = 4.3 inches
Detection of Periodic Variation Wrapping Board
7.5 inches 8.6 inches 9.7 inches
7.3 9.8
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Wavelength of mechanical faults =Wavelength of fault X total subsequent draft
e.g. front drafting roller in roving frame D = 25 mmEccentricity of roller causes periodic variation every rotation
Wavelength of fault = D = 0.08 m
Ringframe draft = 30
Wavelength of yarn fault = 0.08 X 30 = 2.4 m
Wavelength of drafting wave =
L = k lw Dtw t
Dt = total subsequent draft to yarn
For yarn: k = 2.75
For roving: k = 3.5
For sliver: k = 4
Usual causes of periodic faults
D f iDrafting wave
Eccentricity of rotating parts (rollers, cylinders, packages, etc)
Surface damage of rotating parts (including dirt accumulation on working(including dirt accumulation on working surfaces) (rollers, aprons, gears, rotors, etc)
40 tex
27mm
23% 12.7 mm
50% 100%
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40 tex
Drafting Wave
26mm
Drafting Wave(Ring)
Drafting Wave(Roving)
38% 12.7 mm
50% 100%
High Short Fibre Content
/2/3/4
Drafting wavein ringframe Damaged
drafting apron
Moire effect in fabric when faulty yarn is used as weft
Tensile Properties
The most important tensile properties
Strength (tenacity)
Variation of strength (CV)
Breaking elongation
Main factors influencing yarn tensile properties
Fibre strengthFibre strength
Fibre elongation
Fibre length
Fibre fineness
Twist level: fundamental for spun yarn
Man-made fibre content
p y
Yarn evenness
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Yarn Tensile Testing
Standard Conditions
Testing length (500 mm)
Testing Methods
CRE (Constant Rate of Elongation) 5m/min
Testing length (500 mm)
Pre-tension 0.5 cN/tex
( g )
CRE 20s to break (ISO, DIN, ASTM)
CRL (Constant Rate of Loading) 20s to break
Load
Elongation
Results dependant on testing method
e.g.:
Combed cotton ring spun yarn
16.0 cN/tex (CRE 5m/min)
14.5 cN/tex (CRE 20s)( )
14.9 cN/tex (CRL 20s)
Carded, Ring, Knitting Yarn
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Cotton, Rotor Yarn
Yarn tensile property is critical to performance of spinning machines and subsequent processes
A small increase in average yarn strength or a small reduction in strength variation can bring very substantial improvement in process efficiency
Further readingR. Furter, "Strength and Elongation Testing of Single and Ply Yarns", T.I.
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Yarn Hairiness
Important to:
Weaving machine performance
Dyeing and finishing performance
F b i
Important to:
Fabric appearance
Pilling performance
Yarn count
Key factors affecting yarn hairiness
Yarn count
Twist levelSpinning and winding speedsFibre finenessFibre typeFibre length
Other spinning conditionsTravellerTwist level
Hairiness Measurement
Z i l H i i M tZweigle Hairiness Meter
Shirley Yarn Hairiness Tester
USTER Tester
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Further reading:1. A Barella, "The Hairiness of Yarns", T.I., 19932. USTER Statistics, Zellweger Uster AG
Yarn FaultsSections of yarn with large deviations
from the mean yarn thickness
Yarn Faults AffectProcess efficiency
Weaving Machine Speed Yarn Breaks/100,000 Picks(Picks/Min) 0 4 8 12
e.g.: Effects of yarn breaks on weaving productivity
(Picks/Min) 0 4 8 12400 105% 102% 100% 98%500 130% 127% 123% 120%600 160% 154% 147% 140%700 180% 174% 167% 160%
End use performance
Yarn Faults Affect
Process efficiency
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FrequencyFrequent Faults
Distribution of Yarn Faults
Disturbing Faults
Cross-SectionYarn Mass
Mean
Frequent faults (imperfections)
Thin places (-50%)
Thick places (+50%)
Neps (>+200%, but very short, <4 mm)
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Excessive U% (CV%), count variation and imperfections cannot be rectified once the yarn is produced
Disturbing Faults (Seldom-occurring Faults)
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Disturbing faults may be removed during yarn preparation, but will add to cost
A joint is another fault, should be less objectionable than the original fault
After removing a fault, a joint (knot or piecing) must be made
j g
Neps
Two categories
Raw material neps (exist in the fibre)Raw material neps (exist in the fibre)
Process neps (caused by processes)(e.g. dry process condition increases neps)
Factors Influencing Nep Count In The Card Web
Raw material:
Trash content
Process:
Card production speed
Maturity
Ginning
Card settings/conditions
Tandem card
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4.5 4.2 3.0Micronaire
Neps/100 inch2
Effects of Card Production & Cotton Maturity on Nep Count
15202530354045
05
1015
40 60 80 Card Production (lbs/h)
Effects of Flats Setting on Nep Count
14
Neps/100 inch2
6
8
10
12
14
0
2
4
9 12 15 inch (10-3)
16
Effects of Tandem Carding on Nep Count
Neps/100 inch2
6
8
10
12
14
16
0
2
4
Single Card Tandem Card
Trash Particles in Sliver
Effects of Card Clothing on Sliver Trash Content
Trash Particles in Sliver
Limit Value
Card Running Time (Weeks)
Re-grinding
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3000
Neps/1000 yds yarn
Effects of Fibre Neps in Card Web on Neps in Yarn
1000
1500
2000
2500
0
500
0 5 10 15 20
Neps/100 inch2 card web
Nep Content
A significant increase of neps in yarn could be due to:
1 Raw Material1. Raw Material
Change of immature fibre content
Incorrect raw material selection
RemedyRemedy
Fibre testing
Balanced mixing (bale management)
2. Carding faults
P i ditiPoor wire condition
Wrong settings
Incorrect waste extraction
Remedy
Maintenance schedule must be followed
Yarn faults can be classified by their causes
1. Material
Foreign matter(non-textile material) (M1)
Fibre entanglement(bonded man-made fibres) (M2)
Synthetic undrawn fibre (M3)
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Fibre bundles (M4)
2. Preparation
Piecings (P1)
Long slubs (P2)
Short slubs (P3)
3. Spinning
Spun-in fly (S1)
S1
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Loose fly (S2)y ( ) S2
Long collections of fly (S3)
S3
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Fishes or corkscrews (S4)
Drafting apron surface cracks
Static charge
fUnsuitable drafting apron
Bunched fly (S5)y ( )
Chains (collections of short faults) (S6)
Crackers (S7)
Disturbance of drafting by extra long fibre
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Fault Cause Carded Cotton Combed CottonM1 16.2% 11.1%M2 - 4.8%M3 - -P1 10.1% 12.5%P2 - -P3 6.2% 6.9%S1 42.0% 44.0%S2 18.0% 14.3%S3 3.0% 1.0%S4 - 0.8%
USTER
S4 0.8%S5 2.0% 3.1%S6 2.1% 1.3%S7 0.4% 0.2%
Total number of faults 2834 3528Number of factories 137 118
Attention to 3 areas can substantially reduce fault content
Spinning machine cleaning (automatic / manual)
Raw material and carding (better quality, more efficient cleaning, e.g. crushing rollers)
Operator training and supervision (all processes
Quality Control In Spinning - SummeryRaw material
Fibre length, fineness (and the variation of both)Trash contentCotton maturity
Fib tiFibre preparationProcess route (e.g. carded vs. combed)Trash extractionSliver evenness (i.e. autolevelling)
Conditions of machine components(e g card clothing drafting rollers aprons traveller ring)
Machine maintenance
(e.g. card clothing, drafting rollers, aprons, traveller, ring)Machine settings (e.g. card setting,roller setting in drafting, roller pressure)
On-line monitoring and control
Cleaning (all processes)Operator training & supervision
Clearing
The operation of yarn fault removalThe operation of yarn fault removal
Clearers are classified according to method of fault detection.
Two main types
1. Mechanical
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Mechanical Clearer
Yarn
1. Mechanical
Two main types
2. Electrical
Electrical clearers have much higher clearing efficiency, usually above 0.9 while mechanical clearers are in the range of 0.5 to 0.6
Fault clearing requirements are determined by requirements of subsequent processes and end uses
Piecing
Knots
Splices
Air Jet mingles the two strands
When the clamps are opened,
Clamps
twist runs into the joint, strengthening the joint
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Air Splicer
Setting of electrical clearer dependent on yarn count, fibre material, winding speed, and requirement of fault removal