Concept of High Volume Instrument (HVI) HVI Used in Bale M.rtf

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Concept of High Volume Instrument (HVI) | HVI Used in Bale Management System - e!tile "earner #$-##-%'

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Boss oday5

Hi() Vo"%me In!#r%men# *HVI+/he testing of fi,res 0as al0ays of

importance to the spinner It is done ,y the

HVI machine High *olume instrument

systems are ,ased on the fi,re ,undle

strength testing4 ie4 many fi,res are chec6ed

at the same time and their a*erage *alues

determined raditional testing using

micronire4 pressley4 stelometre4 and

fi,ro graph are designed to determinea*erage *alue for a large num,er of fi,res4

the so called fi,re ,undle tests In HVI4 the

,undle testing method is automated Here4

the time for testing is less and so the

num,er of samples that could ,e processed

is increased4 7uite considera,ly he

influence of operator is reduced

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W)# i! Te0#i"e1e!tile is a *ery 0idely used term 0hichincludes

W)# i! Te0#i"e Fi2er1

e!tile fi,ers are the materials at natural orartificials

Te0#i"e Mn%'c#%rin( Proce!!

e!tile manufacturing is a comple! process Itstarts from fi,er

U!#er HVI 3444

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ypes of Bra | 1ifferent ypes

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Concept of High Volume Instrument (HVI) | HVI Used in Bale Management System - e!tile "earner #$-##-%'

A&&"ic#ion o' D.e!here are different types of dyes for dyeing te!tile goods hese dyes

Co"or F!#ne!! Te!#!

Color fastness means resistance to

Un$er(rmen#! or Un$er5erIt is *ery important 0ear ,ecause of its functional and appearance ,eauty

Te0#i"e C"c%"#ionCalculate the length of a pac6age of =&8# and cone 0eight %&=> l,

than thesu,?ecti*ehandclassingmethod

In #2@&4

/CCA and

Motion

Control4

Inc4 an

instrument

manufacture

r in 1allas4

e!as4

,egan

pioneering

the

de*elopmen

t of a

system to

eliminate

the potential

for human

error that

e!isted 0ithhand

classing and

e!pand the

num,er of

fi,re

properties

that could

rapidly ,e

determined

for each

,ale of

cotton he

goal 0as to

,e a,le to

pro*ide

se*en fi,re

7uality

characteristi

cs for e*ery

,ale

produced ,y

/CCAs

farmer-

o0ners

"a,oratory

instruments

0ere

a*aila,le for

determining

most of the

fi,re

properties4

,ut they

re7uired up

to #

minutes or

longer to

determine

each of the

properties

he /CCA

theory 0as

,ased on

economicsD

the faster

cotton could

,e classed4

the faster it

could ,e

mar6etedE and4 the more accurate measurements

of 7uality could result in a more ade7uate supply

of cotton 0ith fi,re properties to meet the specific

needs of te!tile mills

By the mid-#2@&s4 the United States

1epartment of Agricultural (US1A) and

the Cotton /roducers Institute (no0

called Cotton4 Incorporated) also

,ecame in*ol*ed in the research

re7uired to ,ring this concept to the

mar6etplace

In #2@= three of the first fi*e HVI lines 0ere

in operation in "u,,oc64 e!as 9ne line

0as at e!as ech Uni*ersitys

International e!tile Center and t0o at

/CCA hese lines 0ere the *ery earliest

*ersions to ha*e all se*en-fi,re properties

com,ined into a single testing line and

measure them in less than %& seconds per

test

In #2=&4 US1A ,uilt a ne0 classing office in

"amesa4 e!as4 (a,out @& miles south of

"u,,oc6) specifically designed only for

instrument testing all of the cotton samplesrecei*ed at that office using the latest *ersion

of the HVI e7uipment his 0as a daring step

,ut 0as ,ased on data collected and

analysed and impro*ements made in the HVI

system during the pre*ious %& years

Although met 0ith scepticism in the initial

years ,y many in the cotton and te!tile

industries4 the HVI system pre*ailed4 and

US1A continued to install the instrument

testing lines in all go*ernment cotton classing

offices In #22#4 US1A used the HVI system

on all the cotton pro*ided to the department

for classing oday4 HVI class data is

accepted throughout the 0orld and is the

foundation on 0hich cotton is traded

e!tile Calculation| 1ifferent .ormula

of e!tile

Calculation

FIND 6FACEBOOK

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Mn%'c#%rer! o' HVI /In total4 there are fi*e companies manufacturing rapid instrumenttesting machines in the 0orld4

1.Uster echnologies4 Inc4

2./remier :*ol*ics /*t "td4

3. "intronics (China4 Mainland)

4.Changing echnologies (China4 Mainland)

5.State! :ngineering (India)

High *olume instrument (HVI) is the most common rapid

instrument testing machine made ,y Uster echnologies4 Inc

he only other company that has o*er #&& machines installed in

the 0orld4 mostly in Asia4 is /remier :*ol*ics /*t "td ,ased in

India It is estimated that close to %4&&& rapid instruments

testing machines ha*e already ,een stalled in the 0orld4 mostly

from Uster echnologies4 Inc Fot only do the machines from

each company differ4 ,ut *arious models from each company

also differ among themsel*es he full fledge models of ,oth the

manufacturers are capa,le of measuring measure micronaire4

length4 length uniformity4 strength4 colour4 trash4 maturity4 sugar

content etc

Vrio%! HVI Mo$e"! A7i"2"e in

Mrke# in Pre!en# D#e re/

38 USTER9 HVI 3444

A*aila,le 9ptions

Barcode Geader (M$&&)

U/S Uninterrupted /o0er Supply de*ice

UV Module

F:/ Module

:8 ART :;)i() 7o"%me

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httpD88 te!tilelearner,logspotc om8%% 8#&8concept-of-high-*olume-instrument-h*i%J on $@of the samples4 0hile the classer agreed on $# of the samples to 0ithin #8>#J

he precision of the HVI length measurement has ,een impro*ed o*er the last fe0

years If 0e ta6e the same ,ale of cotton used in the earlier e!ample and repeatedly

measure length 0ith an HVI system4 o*er t0o-thirds of measurements 0ill ,e in a

range of only a,out #8>% nd of an inchD 2 of the indi*idual readings 0ill ,e 0ithin

#8>%nd of an inch of the ,ale a*erage In the $$&&& ,ales tested4 the length readings

0ere repeated 0ithin &&%J on $# of the ,ales ,et0een la,oratories

Len(#) Uni'ormi#. /he HVI system gi*es an indication of the fi,re length distri,ution in the ,ale ,y use of a length

uniformity inde! his uniformity inde! is o,tained ,y di*iding the mean fi,re length ,y the upper-

half-mean length and e!pressing the ratio as a percent A reading of =& is considered a*erage

length uniformity Higher num,ers mean ,etter length uniformity and lo0er num,ers poorer length

uniformity Cotton 0ith a length uniformity inde! of => and a,o*e is considered to ha*e good length

uniformity4 a length uniformity inde! ,elo0 $= is considered to sho0 poor length uniformity

S)or# Fi2er In$e0/he measure of short-fi,re content (S.C) in Motion Controls HVI systems is ,ased on

the fi,re length distri,ution throughout the test specimen It is not the staple length that

is so important ,ut the short fi,re content 0hich is important It is ,etter to prefer a

lo0er commercial staple4 ,ut 0ith much lo0er short-fi,re content

he follo0ing data 0ere ta6en on yarns produced under identical conditions and

0hose cotton fi,res 0ere identical in all properties e!cept for short-fi,re content

he effects on ends do0n and se*eral aspects of yarn 7uality are sho0n ,elo0D

LOT ;A= *>8?@SFC+

LOT;B *338?@SFC+

En$! $o5n 3444 )r! $2 #%=Skein !#ren(#) *"2+ #&=# 2$'Sin("e en$ !#ren(#) # #'(#e0&&ernce in$e0 #&@ =2

7/26/2019 Concept of High Volume Instrument (HVI) HVI Used in Bale M.rtf

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E7enne!! *CV@+ #@ #$>T)in &"ce! # >@T)ick &"ce! %%2 >@'Minor De'ec#! >#% >=2

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Concept of High Volume Instrument (HVI) | HVI Used in Bale Management System - e!tile "earner #$-##-%'

hese results sho0 that an increase of

short-fi,re content in cotton is detrimental

to process efficiency and product 7uality

HVI systems measure length parameters

of cotton samples ,y the fi,rogram

techni7ue he follo0ing assumptions

descri,e the fi,rogram sampling processD

he fi,rogram sample is ta6en

from some population of fi,ershe pro,a,ility of sampling a particular

fi,re is proportional to its length

A sampled fi,re 0ill ,e held at a random point along its length

A sampled fi,re 0ill pro?ect t0o ends a0ay from the holding point4 such that

all of the ends 0ill ,e parallel and aligned at the holding point

All fi,ers ha*e the same uniform density

he High Volume Instruments also pro*ide empirical e7uations of short fi,re content

,ased on the results of cotton produced in the United States in a particular year

Short .i,re Inde! K #%%@ (#%=$ ! UHM) (#%% ! UI)

3here UHM Upper Half Mean "ength (inches)

UI Uniformity Inde!

Short .i,re Inde! K 2&>' (>$'$ ! S"%) (&2& ! UG)

3here S"% % Span length (inches)

UG Uniformity Gatio

In typical fi,rogram cur*e4 the horiLontal a!is represents the lengths of the ends of sampled fi,res

he *ertical a!is represents the percent of fi,re ends in the fi,rogram ha*ing that length or greater

38 S#ren(#) n$ E"on(#ion/

Princi&"e o' Me!%remen#/

HVI uses the Constant rate of elongationN principle 0hile testing the fi,re sample he a*aila,lecon*entional methods of strength measurement are slo0 and are not compati,le to ,e used 0ith

the HVI he main hindering factor is the measurement of 0eight of the test specimen4 0hich is

necessary to estimate the tenacity of the sample :!pression of the ,rea6ing strength in terms of

tenacity is important to ma6e easy comparison ,et0een specimens of *arying fineness

Me#)o$ /he strength measurement made ,y the HVI systems is unli6e the traditional la,oratory

measurements of /ressley and Stelometer in se*eral important 0ays .irst of all the test

specimens are prepared in a *ery different manner In the la,oratory method the fi,res are

selected4 com,ed and carefully prepared to align them in the ?a0 clamps :ach and e*ery

fi,re spans the entire distance across the ?a0 surfaces and the space ,et0een the ?a0s

Strength is measured physically ,y clamping a fi,re ,undle ,et0een % pairs of

clamps at 6no0n distance he second pair of clamps pulls a0ay from the firstpair at a constant speed until the fi,re ,undle ,rea6s he distance it tra*els4

e!tending the fi,re ,undle ,efore ,rea6age4 is reported as elongation

In the HVI instruments the fi,res are randomly selected and automatically prepared for

testing hey are com,ed to remo*e loose fi,res and to straighten the clamped fi,res4

also ,rushed to remo*e crimp ,efore testing he mechaniLation of the specimen

preparation techni7ues has resulted in a taperedN specimen 0here fi,re ends are

found in the ?a0 clamp surfaces as 0ell as in the space ,et0een the ?a0s

A second important difference ,et0een traditional la,oratory strength measurements

and HVI strength measurements is that in the la,oratory measurements the mass of

the ,ro6en fi,res is determined ,y 0eighing the test specimen In the HVI systems the

mass is determined ,y the less direct methods of light a,sorption and resistance to air

flo0 he HVI strength mass measurement is further complicated ,y ha*ing to

measure the mass at the e!act point of ,rea6s on the tapered specimen

A third significant difference ,et0een la,oratory and HVI strength measurements

is the rate or speed at 0hich the fi,res are ,ro6en he HVI systems ,rea6 the

fi,res a,out #& times faster than the la,oratory methods

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In'orm#ion/

enerally HVI grams per e! readings are # to % units (> to ) higher in numerical

*alue In some indi*idual cases that seem to ,e related to *ariety4 the differences can

,e as much as @ to = higher his has not caused a great deal of pro,lems in the US4

perhaps ,ecause a precedent 0as set many years ago 0hen 0e ,egan ad?usting our

Stelometer strength *alues a,out %$ to put them on /resley le*el

Gelati*e to the other HVI measurements4 the strength measurement is less precise

oing ,ac6 to our single ,ale of cotton and doing repeated measurements on the ,ale

0e shall find that @= of the readings 0ill ,e 0ithin # g8e! of the ,ale a*erage So ifthe ,ale has an a*erage strength of % gte!4 @= of the indi*idual readings 0ill ,e

,et0een %' and %@ g8e!4 and 2 ,et0een %> and %$ g8e!

Because of this range in the readings 0ithin a single ,ale4 almost all HVI users ma6e

either % or ' tests per ,ale and a*erage the readings 3hen the a*erage readings are

repeated 0ithin a la,oratory4 the a*erages are repeated to 0ithin one strength unit

a,out =& of the time Ho0e*er4 0hen comparisons are made ,et0een la,oratories

the agreement on indi*idual ,ales to 0ithin plus or minus # g8te! decreases to

his decrease in strength agreement ,et0een la,oratories is pro,a,ly related to

the difficulty of holding a constant relati*e humidity in the test la,s est data

indicate that # shift in relati*e humidity 0ill shift the strength le*el a,out # .or

e!ample4 if the relati*e humidity in the la,oratory changes > (from @> to @@)4

the strength 0ould change a,out # g8te! (from %' to % g8e!)

:8 Fi2er Finene!!/

Princi&"e o' Me!%remen#/.i,re fineness is normally e!pressed as a micronaire *alue (microgram per inch) It is

measured ,y relating airflo0 resistance to the specific surface of fi,res and maturity ration is

calculated using a sophisticated algorithm ,ased on se*eral HVIO measurements

Me#)o$/he micronaire reading gi*en ,y the HVI systems is the same as has ,een used in the

commercial mar6eting of cotton for almost % years he repeata,ility of the data and the

operator ease of performing the test ha*e ,een impro*ed slightly in the HVI micronaire

measurement o*er the original instruments ,y elimination of the re7uirement of e!actly0eighing the test specimen he micronaire instruments a*aila,le today use microcomputers

to ad?ust the reading for a range of test specimen siLes

In'orm#ion/he micronaire reading is considered ,oth precise and refera,le .or e!ample4 if 0e ha*e a

,ale of cotton that has an a*erage micronaire of '% and repeatedly test samples from that

,ale4 o*er t0o-thirds of that micronaire readings 0ill ,e ,et0een '# and '> and 2 of the

readings ,et0een and '& and '' hus4 0ith only one or t0o tests per ,ale 0e can get a

*ery precise measure of the a*erage micronaire of the ,ale

his reading is also *ery repeata,le from la,oratory to la,oratory In US1A appro! $$&&&

,ales 0ere tested per day in each la,oratory4 micronaire measurements made in different

la,oratories agreed 0ith each other 0ithin micronaire units on $$ of the ,ales

he reading is influenced ,y ,oth fi,re maturity and fi,re fineness .or a gi*en gro0ing

area4 the cotton *ariety generally sets the fi,re fineness4 and the en*ironmental factors

control or influence the fi,re maturity hus4 0ithin a gro0ing area the micronaire *alue

is usually highly related to the maturity *alue Ho0e*er4 on an international scale4 it

cannot ,e 6no0n from the micronaire readings alone if cottons 0ith different

micronaire are of different fineness or if they ha*e different maturity le*els

8 Moi!#%re/

Princi&"e o' Me!%remen#/Moisture content of the cotton sample at the time of testing4 using conducti*e

moisture pro,e and the main principle in*ol*ed in the measurement is ,ased on

the measurement of the dielectric constant of a material

8 Co"or/

Princi&"e o' Me!%remen# /

Gd (3hiteness)4 P, (ello0ness)4 Colour rade Measured optically ,y different colour filters4

con*erted to US1A Upland or /ima Colour rades or regional customiLed colour chart

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O#)er In'orm#ion/he measurement of cotton colour predates the measurement of micronaire4 ,ut ,ecause

colour has al0ays ,een an important component of classers grade it has not recei*ed

attention as an independent fi,re property Ho0e*er the measurement of colour 0as

incorporated into the *ery early HVI systems as one of the primary fi,re properties

1etermination of cotton colour re7uires the measurement of t0o properties4 the grayness and

yello0ness of the fi,res he grayness is a measure of the amount of light reflected from the mass

of the fi,re 3e call this the reflectance or Gd *alue he yello0ness is measured on 0hat 0e callHunters P, scale after the man 0ho de*eloped it he other scales that descri,e colour space

(,lue4 red4 green) are not measured ,ecasue they are considered relati*ely constant for cotton

Geturning once again to the measurements on our single ,ale4 0e see that

repeated measurements of colour are in good agreement .or greyness or

reflectance readings4 @= of the readings 0ill ,e 0ithin & Gd units of the ,ale

a*erage4 and 2 0ithin one Gd unit for the a*erage

As for yello0ness4 o*er t0o-thirds of these readings 0ill ,e 0ithin one-fourth of one P, unit

of the a*erage4 and 2 0ithin one-half of one P, unit he greyness (Gd) and yello0ness

(P,) measurements are related to grade through a colour chart 0hich 0as de*eloped ,y a

US1A researcher he US1A test of $$&&& ,ales sho0ed the colour readings to ,e the most

repeata,le of all data ,et0een la,oratoriesE =$ of the ,ales repeated 0ithin one

greyness(Gd) unit4 and = repeated 0ithin one-half of one yello0ness(P,) unit

8 Tr!) Con#en#/

Princi&"e o' Me!%remen#//article Count4 Surface Area Co*ered ,y rash4 rash Code Measured optically ,y utiliLing a

digital camera4 and con*erted to US1A trash grades or customiLed regional trash standards

O#)er In'orm#ion/he HVI systems measure trash or non-lint content ,y use of *ideo camera to determine the

amount of surface area of the sample that is co*ered 0ith dar6 spots As the camera scans the

surface of the sample4 the *ideo output drops 0hen a dar6 spot (presumed to ,e trash) is

encountered he *ideo signal is processed ,y a microcomputer to determine the num,er of dar6

spots encountered (C9UF) and the per cent of the surface area co*ered ,y the dar6 spots

(AG:A) he area and count data are used in an e7uation to predict the amount of *isi,le non-lint

content as measured on the Shirley Analyser he HVI trash data output is a t0o-digit num,er

0hich gi*es the predicted non-lint content for that ,ale .or e!ample4 a trash reading of %= 0ould

mean that the predicted Shirley Analyser *isi,le non-lint content of that ,ale 0ould ,e %=

3hile the *ideo trash instruments ha*e ,een around for se*eral years4 ,ut the data

suggest that the prediction of non-lint content is accurate to a,out &$ non-lint4 and

that the measurements are repeata,le 2 of the time to 0ithin # non-lint content

?8 M#%ri#. n$ S#ickine!!/

Princi&"e o' Me!%remen#/Calculated using a sophisticated algorithm ,ased on se*eral HVIO measurements

O#)er In'orm#ion/Fear infrared analysis pro*ides a fast4 safe and easy means to measure cotton

maturity4 fineness and sugar content at HVI speed 0ithout the need for time

consuming sample preparation or fi,er ,lending

his technology is ,ased on the near infrared reflectance spectroscopy principle in the

0a*elength range of $& to %&& nanometres 1ifferences of maturity in cotton fi,res

are recogniLed through distinctly different FIG a,sor,ance spectra FIG technology

also allo0s for the measurement of sugar content ,y separating the a,sor,ance

characteristics of *arious sugars from the a,sor,ance of cotton material

Cotton maturity is the ,est indicator of potential dyeing pro,lems in cotton products

Immature fi,res do not a,sor, dye as 0ell as mature fi,res his results in a *ariety of dye-

related appearance pro,lems such as ,arre4 reduced colour yield4 and 0hite spec6s Barre

is an un0anted striped appearance in fa,ric4 and is often a result of using yarns containing

fi,res of different maturity le*els .or dyed yarn4 colour yield is diminished 0hen immature

fi,res are used 3hite spec6s are small spots in the yarn or fa,ric 0hich do not dye at all

hese spec6s are usually attri,uted to neps (tangled clusters of *ery immature fi,res)

FIG maturity and dye upta6e in cotton yarns ha*e ,een sho0n to correlate highly 0ith maturity ashttpD88te!tilelearner,logspotcom8%%8#&8concept-of-high-*olume-instrument-

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Concept of High Volume Instrument (HVI) | HVI Used in Bale Management System - e!tile "earner #$-##-%'

measured ,y FIG A correlation of GK&2@ 0as o,tained for a set of # cottons

In a ?oint study ,y I and a :uropean research organiLation4 ' cottons from four continents 0ere

tested for maturity using the FIG method and the SHIG": 1e*elopment .ineness8 Maturity tester

(.M) .or these samples4 FIG and .M maturity correlated *ery highly (GK&2')

9n # cottons from different gro0th areas of the USA4 FIG maturity 0as found to correlate

0ith r% K &2 through a method de*eloped ,y the United States 1epartment of Agriculture

(US1A) In this method4 fi,res are cross-sectioned and microscopically e*aluated

Sugar Content is a *alid indicator of potential processing pro,lems Fear infrared

analysis4 ,ecause of its adapta,ility to HVI4 allo0s for screening of ,ales prior to use

he information ser*es to selected ,ales to a*oid preparation of cotton mi!es of ,ales

0ith e!cessi*e sugar content Cotton stic6iness consists of t0o ma?or causes-

honeyde0 form 0hite flies and aphids and high le*el of natural plant sugars Both are

periodic pro,lems 0hich cause efficiency losses in yarn manufacturing

he pro,lems 0ith the randomly distri,uted honeyde0 contamination often

results in costly production interruptions and re7uires immediate action often as

se*ere as discontinuing the use of contaminated cottons

Fatural plant sugars are more e*enly distri,uted and cause pro,lems of residue ,uild-up4 lint

accumulation and roll laps Quality pro,lems created ,y plant sugar stic6iness are often more

critical in the spinning process than the honeyde0 stic6iness "int residues 0hich accumulate onmachine parts in *arious processes 0ill ,rea6 loose and ,ecome part of the fi,re mass resulting in

yarn imperfections An effecti*e 0ay to control cotton stic6iness in processing is to ,lend stic6y and

non-stic6 cottons ;no0ing the sugar content of each ,ale of cotton used in each mi! minimiLes

day-to-day *ariations in processing efficiency and products more consistent yarn 7uality Screening

the ,ale in*entory for sugar content prior to processing 0ill allo0 the selection of mi!es 0ith good

processing characteristics 0hile also utiliLing the entire ,ale in*entory

he relationship ,et0een percent sugar content ,y FIG analysis and the /er6ins

method sho0s an e!cellent correlation of r%K&2 he amount of reducing material on

cotton fi,re in the /er6ins method is determined ,y comparing the reducing a,ility of

the 0ater e!tract of the fi,re to that of a standard reducing su,stance Using the FIG

method4 the amount of reducing sugar in cotton is measured

Meri#! o' HVI Te!#in(/

1.he results are practically independent of the operator

2.he results are ,ased on large *olume samples4 and are therefore more significant

3.he time for testing per sample is &> minutes he respecti*e fi,re data are

immediately a*aila,le

4.A,out #=& samples per hour can ,e tested and that too 0ith only % operators

5.he data are clearly arranged in summarised reports

6.hey ma6e possi,le the ,est utilisation of ra0 material data

7. It is ,est applied to instituting optimum condition for ra0 material

8./ro,lems as a result of fi,re material can ,e predicted4 and correcti*e

measures instituted ,efore such pro,lems can occur

9. he classing of cotton and the laying do0n of a mi! in the spinning mill his HVI testing is

suita,le for the e!tensi*e 7uality control of all the ,ales processed in a spinning mill

10. he mill is in a position to determine its o0n 7uality le*el 0ithin a certain operating range

S#n$r$ie$ Proce!! 'or HVI Te!#in(/

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Pre;!e!on &reci!ion n$ Acc%rc. Te!#! 'or "" HVI!/All offices are re7uired to select 6no0n-*alue cotton samples and perform stringent and

consistent performance e*aluations4 ,efore machines can ,e placed into production

In!#r%men# C"i2r#ion/Strict cali,ration procedures used ,y all offices and Quality Assurance Branch

;no0n-*alue cottons and tiles used for cali,ration4 /eriodic cali,ration chec6s4

1ata is collected4 analysed and correcti*e actions ta6en 0hen necessary

%"i#. A!!%rnce Brnc)= C)eck "o# Pro(rm/Appro!imately # of entire crop is selected from each field office for retest in QAN as

Chec6 lots Chec6 lot data is returned to classing offices 7uic6ly for re*ie0 Chec6 lot

system assists in monitoring office performance and ensuring proper testing le*els

L2or#or. A#mo!&)eric Con$i#ion!/esting la,oratories are re7uired to maintain conditions of $&R#R . and @% GH

All cotton must sta,iliLe at moisture content le*el of @$-=% prior to HVI testing

A%#)or o' T)i! Ar#ic"e/So)e" RnFoa6hali e!tile :ngineering College

Fce2ook/ )##&/5558'ce2ook8comrn8!o)e"8

o% mi()# "!o "ike

;ey /layers in the Ho0 to Choose the 1ifferent ;inds of Gomantic Sil6Apparel Industry /erfect Camisole esting and Clothing in the

Appro*al Ge7uired 3edding Fightfor .a,ric toarmentManufacturing

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A2o%# #)e E$i#or;in;C)ie'ITm MaLharul Islam ;iron from Mymensingh4 Bangladesh/rofessionally ITm a e!tile :ngineer ,ut I li6e to e!tile Blogging4 3e,1e*eloping and Search :ngine 9ptimiLation (S:9) I also 0rite articlesin 3i6ipedia .ind Me on "in6edIn MaLharul Islam ;iron.ind Me on.ace,oo6 MaLharul Islam ;iron

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