• 沒有找到結果。

染色加工製程參數之最佳化

N/A
N/A
Protected

Academic year: 2021

Share "染色加工製程參數之最佳化"

Copied!
4
0
0

加載中.... (立即查看全文)

全文

(1)

*~!JILL ~iflf. -t-it~:JjHUc

Optimization of the dyeing processing parameters

~~ t '1* 1~1t~

@I iL ~ j~ #~tA ~ ~)J--=t-.J:..i¥.hiT ~PJT Abstract

In this paper, we select pure PET and PET mixed Lycra ' Nylon and Nylon mixed Lycra as the dyed fabrics, dyestuffs are the disperse dye ' acid dye. The dyeing method is one- bath-two-section impregnation and the quality characteristic is E (KJS values) of the fabrics. Our purpose is to find the optimum combination of processing parameters to achieve the customers' demands. Taguchi experimental design method has been proposed in the research. In view of the dyeing results, the parameters including machine operating temperature, dyeing time, dye liquor concentration, and bath-ratio value are regarded as the control factors. The L9(34)

orthogonal array together with the ANOVA approach are employed to determine the optimum conditions, significant factors, and percent contribution. In the experiments, KfS values of fabrics are chosen to be the smaller-the-better target characteristic, and the confirmation experiments are performed and verified the reproducibility of the experimentation. The K/S values of dyed fabrics in optimum condition are much closer to the target values.

Keywords: Dyeing, E, Taguchi Experimental Design Method, ANOVAApproach, Confirmation Experiments

4' :5C..t~ *

*~:X:. 'fii!IIl;ft*~1.l, PET &'PETiitLycra ' Nylon&.

Nylonilt.Lycra' *H1.l,jJ-~t'/1.*;j'4 ' ~i:ti.*H 0 * e.:;7)i;-ib

-iB-.::..-1.i.t(i~*)i;- , JliiJ'"jfH·'/1.1.l,!f;$'~~:!11(KlS11)' l~aili*~~~• •*.~Aft• •'U~A~~~~~

%;$'.e..~°:X:.'f.l!lffio.t(y.a~)i;-.*.a~,#

• •%~*e.M*~*.:.~~~~~,*e.*M' • • i!!i' IB-<t.1t '1tib".~lU'J~-t ' 3tii!JIl~(34)Ax~

~0~.,~*~~~• •jJ-~*~~.ft• • •#,~.

ffiJ-t.&.ajJ-"t.~l&k.$ 0 *~., J:--<!f;$'KlS1t'l+#-,tHj;1.l,

~.#~,~u4.~.~~.*• •".~~~tl ·A

&,.~".~.)i;-~JIlA~.#ffl*ili&;$'~~S.~~

}i:ilI ~:fl. 0

g.M:*~'e.A.·ffiO".~~)i;-,~• •jJ-~)i;-, 4t~".

*~.k-.+~.~,~.~*.~~~tt.'~Jlii A.:x:'fu~~~'A.~~~M~M.£e.~~~,~~t .~~.'I~ii!.~~• • '~.~k+~*~tt.MM

~.,ttl*~:;7)i;-'.IIl*~.M'k~~~~~'~~

:X:.#.~M• • •~.~~~.~~~,~~~&*e.A*

~!Ja.I.B:tM[I-61 0

*~~lIlffiO~A~*~0".'ffiU.t(A~*~.~

kU.~M• •~.(~.r~ffiJ~J".~~)*«~~

III ~ #t.ttit~t1. ' ~l' ~Ai r iH! J (signal)~ r *-it,R J (noise)

~~.ib~jfa.'~~JIlffiJ~&.~#'~.~#'.~

.~*.M§• •~l~'*e.~• •#.~~.~~~.

JIl.I..'~~~*~.#*~~~'Jlii.*~~~I~~~

W'*~:;7)i;-~8.'~*~.~A.'ktttt.~~~*

JJ!. 0

.::..' ".!!{t

2-1 ~.:fH4

( 1) PET' PETilt.Lycra ' Nylon' Nylonilt.Lycra (2) 1f;-1t.I.-1tjJ-*'11.*;f'4 IT' .J,.*-* (.~~FB)J

'[1.**+ w:k~ (REL) ~

(3) tfol~PHii.~lfHl'l (~Ut)

(4) lE.i.t.ltJ!.~IUll (ft..ft1t.:iPi.&..1*fftt,}) 2-2 ".tt1jij

(I) f%,tt.4ft:.Mrt~~2 ~ (:kh"f~201OOJ!lJlII.

h"f~ 121OO5Pl#li.)

(2) Data-color 't $iM ~ ~M. (Of J: i~1 :fj &"Ii-'t­

&11)

(3) 't-tkff(OfiMi:It 0.001 - 300 it)

(4) 1000 mlft.j;f;x41m ( ..)OJ ~Ut~ i!tH~·M i!i'l JIl ) 2-3 "af¥.;f

".~.'f ~~~~~I#~1.l,e.h• •

~~-!(or:

~= (l-RY

S 2R

~ 'fK~~At1H.t ' SibjJ-*if.. ' R1.l,lUt.$

~~~~ili~.I.*.&'*• • '~*AA~O~.~

0".'~."• • • '~0~~.&.~A.~#'~

""* e.j}nI.<U1'1.*.~RH111 '

2-4 ~.:;7)!;-

2.4.1 ill P .t(~.

* "• •JIl.~~~~~'*~~M'*• •~

.~1.l,~M~~'~'f~4~~*• • (-!(O*1'~

~f 4100~*'J ~ ~*III jllL9(34)A'.t:.fZ~-1t't. 0 2.4.2 J'" I #,ri.

1.l,1~~~~*~~!f;$'.e.~~(§.1t)

!f*.~$l-§ .1KAf:!.~~·J'~*'J'tj-W!Jfl 'l+

Ajf#-~'~'l+~~~~~~~-!(oT

i);

SN = -10·log~= -1O.log(S;2 +S2)

n

~'f Yi~J'alJ:iM11t, n 1.l,ti.I\Ij.~i.' Ytt.*f~.

t~.{taA

2.4.3 ~• • 7Htj­

~~~-t.~I#-a~%• •~~~'~A.~

~f,l;J 100 § /t-J : - ~.,.~:! (Experimental error) iI-J - ~I ~'/1.iJlH*.. (Significance test) ,~~ lb"

.jJ-~'~U~.~~.:;7.t('"fjJ-.ili.~~ffiJ r.~.~%.~'U.fu~• •~~~ffiJ-t~

• •d~I*~~'~.ft~~.4~o (l) ~~~A1t1t :

~ff~• •jJ-~. ,g~~~• •~M~-tiI-J (Degree of Freedom' DOF) lb Ii~ ~.lP; :

DOF=r-l

~'fr1.l,I;fl'f,!!il:~~k.' .100~-t~at~~~.1.l, :

S- J'2.'.(Yi -y)2

DOFen'or

~'fS~*.1mm~f~~~. ,~~.~~• • , j

.~}J£]1K.' DOFerror1.l,~A § lb!i 0

*~.~ffiJ~1m~*• •ffiJ-t~.~&• • ,.·~

492

(2)

( Sum of Square ' SS) 'i:.- A -110 1'" :

L 2

nxr",(_ _) SSPactor = - Lk.. Yk - Y

k=l

DOFpaclor == r-l

Jt..pFactor;fdfjjJ;IJI!l-f'£~' nJ~/"'~#.II.it, L~-ii}f§-f­

;,t.$itAt"'~~~"ifJt-l~:

SSerror =: tS2x (r -1)

i=I

DOF.rror = n x (r -I)

F= mS~aC!Or

S2

Jt. .pm~or. ~-fl'" *~J:.it ' SF.ctor~~ ~14£ (3) 1!l-f~~£:Jt:#T :

p = SSP.C!O' - DO-&.ctor ·S x100%

SS'Otal 2.4.4 ~t~""~

.~~.it:Jt#'~.~~• •4':Jt#'I!l~"if.f§

-f&.~.I!l-f&.~' • •~6"'~~M*~®-f.+·

S8~.""*'• •~_""*M*~:Jt#• • •*~M*~

§~r~~~MJ~'.~~~• • •"".~4.·e.~

{#j.£Jt,S~1i.' ~I-Cl ~~ '~7)l~1'" ~it·~ ~r.H Confidence Interval • CI) ~or. Jt, :

CI=jNtX*1

A.p~~.""~it• •it.~• • •1i.A.p~.~.£~

J;t.1i.' 1t,~~r.v!l..*.' fttl1t,~*~~~ • "ifc)'-'iJt*,.1tf§

-f~"".~6£1'.~• •~£1~.·

=-' ,tt *~1tlif

;1~-4t.,._!'If tftt....~ ~:l,]-a~ 'It #'Ii.~ SN ~t.( -ko *­

3, *- 4, *- 5· *- 6)' .jI}*,i&SN~t., ;ji.tll~it~1®-f~:!.

~* . ~A!~.~(-ko*-7, *- 8 ' ;f.:. 9, ;f.:. 10)a~.~(-ko i1'~2·~3,~~·an"if~#.~it~I!l-f~:!.~

. , • •~~.tt~~~*~1'".£I#~~.~U£·.

ro.*-Aro.~.~·_ffiT~~' • •~®-f*.~~' 81 'C2,D2, 1I1'.~~11)I£~ 130'C' *~*r.'~ 50min'

~iR5t.11~ 1% o.w.f.' i~Ht.1i.~ 1:30' .1IJitM~IfJf§-f

~ ~iRit£ ' ;J:. f§ -f~ ;~Ht.1.t ; ftpETi/tLycra ~'t" • litit IfJ

1!l-f*.~A2 '82, C3 'DI ' !!F.~~{}f');'J{~ 130'C '

~~*M~40min' ~~5tJ{~ 2% o.w.f. '~H:.1i.ij, 1: 10,

• •~~ f§-f~ij, ~ ~BH.'· i@,;kf§ -f1jP~~bl:.1i.; _Nylon

,lQ~ , .a1i~f§-f*.~Al 'B3, C2' D3 ' !!r#l~~11il.

.11Jt, 80'C ' ~ ~*,., ~40min • ~ ~jtJ{A; 0.6% o.w.f. ' )9­

J;t..~l:~,.aM.~f§-f~.~J;t..'i@,~f§-f~• • i1tit.1l ; ffNy10niItLycrani)"t ' :aft~ -f7)l",,~Al 'B3 ' C3 ' D3 ' IIp'' ~ ~1"F;;J{llr 80'C • *~aH.'llr 40rnin ' •

i1tit.1l~ 0.9% o.w.f. • i~l:t.it~ 1 : 30 ' l\l.~1fJ -f~A;

~i1tit.1l ' 1Ja;kf§-f-9p.~ ~*r.' .

m".~Ut4.t.. tI:lSN~t.~.it:Jt;JJf ~(-ko;f.:. 11 ,~ 12';f.:.

13,;f.:. 14)' ~.p~Ho' f+PETni)~' l!m~t.4 .f§-f*{t

"tI:l.1t.it.+~SN1i.~ 23.7525(dB)' Mni).tll-'ttq,.,.

....~M~SNI:t.~ 95%1tfJI~M. 23.7525±0.4272(dB)' :it 1l.j\#t 3 .·'U~..~3t.tll Jt.SNbt.»; 23.5673(dB) ; ftPET

iltLycra ni) -g , ill Ifl '*' 4 1m f§ -f * 11;. ill ~. ,*,it~Jl+zSN

it~ 24.0203(dB)' M~"ill-'i1Q,""~~'Jl~SNJ;t.-lt 95%1t

fJI~r.,~ 24.0203±0.3181(dB)' ~1tU .I.11.-'tm. .... ~3t.tllJt.

SNI:t.~ 24.2966(dB)' t.tNylon~'t"' iIlm~!:. 41Wf§-f*-1t

.tlll\l1t.itj.ll..g...~SN{t~ 9.9913(d8)' .Il!t~.tI:l-'i1.~"

_z!iJl~SNI:I::At. 95%1Uj(~M»; 9.9913±0.3881(dB) , ~Al

.jI}1M: 3 ;.II.-'tm"~Jt.tllJt.SNI:t.~ 10.1729(dB); ffNylon i/tLycrani) 1; , ill Ifl ~I::. 41m f!l-f *1t,J. ili l\l1!:.tt~.II..g...~SN 1i~ 19.2874(dB)' .Il!t~.tll~t~""~~M:lSN~t.-lt 9S%1t iii ~r.,. 19.2874±O.9026(dB) , ~{i\t 3 j.ll..;j1Q, ....* 3t. tllA

SNI:t.~ 19.7456(dB)· ~+):)J:.I!.'J~}fl;*~.i/4~# \ -'i1.~

"~~~~.'.41tili~M~.p'M*-or.~-f~.A

.jI}J~..1i. ' ~*-*''''~~it1l~-*JI

T~~~~tll.~~~• • •it~• • •'~mmo ..~~.~.,._,~Jit~"'~~itft~~~~~~f!l-f~~

.7,k.. . . ' l!mL9(34).t.~;f.:.' C..l.}fl;*KlS{t:l+#,ti.1t~ § .~~,Jt• •f§-f&.~#'~Ait:Jt#,.~~!~~

~• •tt~~1H.II.+· ftPET' Jit1i~it(-ko~ 15):: .~.I.

+'Fi;'J{~ 130·C'. !*M~50min' ~~it.1t. 1% o.w.f.'

i~I:t.1i..l:30; ~PETiItLycra' :a1t-1-it(-ko~ 16): .~~

+'FiIJ{~ 130°C ' ~ ~ai}M ~40min' ~~it.1t~ 2% o.w.f.'

i~I:t..~ 1 : lO;ftNylon ' ~1i.tt(-ko*- 17) :: .~~ff)I .1l~ 80°C' • ~*M ~40rnin • ~iRit.1l. 0.6% o,w.f. ' ~ I:t..~ 1:: 30; ~Nyloni/tLycra' ;t..-1-it(-ko;f.:. 18)::"~

~+'FiI.1t~ 80'C' .~ai}"'1!, 40min' ~~it.1lA; 0.9%

o.w.f. ' i~Ht..~ 1 : 30 0 PET, PETiltLycra ,Nylon' Nylon i/tLycra.... *!'If4"~SN~t.• •~95%1tfJI ~M.p , 1l(.;f.:./Ut,fi­

1!l-f~• •k+~IfJ'A".IfJM*~.~~~'~• •T

~!:.""_k.tl1tili~

1. liM_~' "~1.t' J'jf.~.if:'~ ~1t."" (..g..ty;f.. )", .ft. ~'£~-t"tI:l ~(l977).

2. Wang, X.; Bide, M., "Factors affecting the levelness of dyeing in reused acid dyebaths for nylon", Textile Chemist and Colorist, v 3D, n 4, Apr, p 45-52 (1998).

3. Ibrahim. N.A.; Youssef, M.A. et al., "Exhaust dyeing of polyester-based textiles using high-temperature-alkaline conditions", Journal of Applied Polymer Science, v 89, n 13, lullS, P 3563-3573 (2003).

4. Jahmeerbacus, M.I.; Kistamah, N. et aI., "Fuzzy control of dyebath pH in exhaust dyeing", Coloration Technology, v 120, n 2" pSI-55 (2004).

5. Chen, J. C. , "The study of dyeing condition for normal pressure dyeable polyester fiber", Journal of the China Textile Institute, v 7, n 3, May, p 188-195 (1997).

6. Hsu, M. I., "A study on continuous dyeing of microencapsulated vat dye via taguchi method to improve on uniformity", Journal of the China Textile Institute, v 7, n 3, May, p 202·206 (1997).

7. "U!l~fut,~ ,"£ 1f .I.tt",.p" ~ff1,l'" 1("" i" (2002).

8. *~:l1,"m [1 ~~-£lt!(...t~~Jl!."~",iii.!z.!IJ

....:1i l'tli:.-aJ (2003).

9. Sarin, S., "Teaching Taguchi's approach to parameter design", Quality Progress, v 30, n 5, May, p 102-107(1997).

10. Ryan, T. P. "Taguchi's Approach to Experimental Design : Some Conerns ", Quality Progress, Mar, p34-36( 1988).

493

(3)

*l1--!i.

~tji!lT

1 2 3

.~.:t.tf;iILt ACC) 120 130 140

~e.1If r., B(min) 50 40 30

lIl!ij{5.l~ C(%o.w.f.) 0.5 1 2

~1;!:.1f. D 1:10 1:20 1:30

*z,.1f.

~"jlliH

2 3

. .~..:t.ft;iI~ AC'C) 80 90 100

~~*J\,'B(min) 50 45 40

~~*~C(%o.w.f.) 0.3 0.6 0.9 j~Ht::.1tD \:10 1:20 1:30

:(.. 3 PET.$.tt1;Ut~"~.~U~.

,, __3

·Me. $.1/i,(dB).

1 0.8294 0.8694 0.7894 0.8294 ].614Q'

2 0.2194 0.1094 0.1294 0.1527

2.1506 2.4006 2.3706 2.3073 ~~.J~t;·.

zo.itt'i.

4 0.1l06 0.0694 0.0894 0.0898

5 0.1094 1.1406 1.3606 0.8702 ·Q.S043·· -4.8389

6 0.8494 0.8794 0.7294 0.8194 ('f~~$$-;'- 10.3260 9.9416

0.7694 0.7994 0.7494 0.7727 -2.2348 3 4

1.1706 1.1906 1.2406 1.2006 ;1.~9J9' 0.1294 0.2294 0.1694 0.1761 '.:t4,t4S3 .

:/<. 4 PET;ILLycra~it1~tt~"'$:.*t*

.¥3" Ave,

3.4757 3.4557 3.4457 3.4590 2.4057 2.3357 2.5657 2.4357 ':7Y4'l/J

1.2043 L1343 2.0043 1.4476 ;3.6722

4 1.7957 1.8157 1.6757 1.7624 "-4~i99

5 0.0543 0.0943 0.0243 0.0576 . 23,41S~

3.1757 J1257 3.1457 3.1490 ·A.9638 co>

3.1657 3.1257 3.1457 3.1457 -9'9545 0.8643 0.7643 0.9543 0.8610 'r:2477

20057 1.9257 1.9357 19557 ~S.S282

• • •JioJ '.j), t£4l2' ··.A,3 Ave, SNt:l;.(dB}

I 3.7533 3.7833 4.0433 38600 "11.7391 2 13367 1.2567 1.3467 13134 ..•2.~38 3 0.3933 0.4233 0.3633 0.3933 ····8.0803

4 1.0667 1.5167 1.7767 1.4534 -3.5050 5 3.8067 3.8367 4.3367 19934 ~:J2:0509 6 11733 3.4033 3.2933 3.2900 '~10,34?1 7 4.0067 3.5767 4.0867 38900 ~n,8206 8 2.1733 2.2033 2.1133 2.1633 c;~.'i04~

9 1.8967 1.4067 1.6467 1.6500 J~,4446

494

2.3385 2.4285 2.5685 0.08&5 00985 O'(J085 1.9585 2.7985 2.6185 5 6.9185 8.0685 7.4285

6 5.1415 4.2815 56415

8.4185 8.2685 9.0785 6.9015 6.3815 50715 9 25385 2.2385 2.698';

A B C ."

3.4202 7.4188 5.1673 3.9985 3

8.2130 4.6976 3.0957 5.1173 2

0.5768 17.1852 -1.7557 18.9409 1

5.4142 j

6.6181 i 3.9740J 26440 -J

4 I

5.7840 -6.4386 14.3376 1

:;_t.c

-8.6037 -7.6434 65971

3

-7.0394 -2.2240 6.7663

2

0.0960

ED.ect 13.3312 14.6233

3 1

-5.2559 6.1939 4

(4)

*-13 Nylonz~JUt~fif{Z

~l SyWof Square "b0F Valiance I' CIlntribut!<Iil

1 5.2276 2 2.6138 59.2497 1 [,6928

I 75158 3.7579 85.1849 16.8989

133163 6.6581 150.9277 30.0958

17.0995 8.5497 193.8065 38.7031

0.7941 18 0.0441 2.6096

Total' 43.9532 26 100

01 m 0]

;;; "1- ----. -.---..- ---...- - -.- '-'--"1

{Z 14 Nylon;It.Lycra~ ~JUt~tif ... . ...p '.

F~c\br siunGf~u~.· bOg varlanee. Coiil:ribu~on

A" 30.6327 2 15.3163 642025 14.6949

~:ij\ j\ J \; ··.fa 62.3157 2 31.1578 130.6064 30.1340

C;. 65.li472 2. 32.9236 ' 138.0080 31.8549 :...::: ·12

AI Al. A) BI 82 83 Cl C2 n OJ Dl OJ D 42.1220 2[,0610 88.2827 20.2936

Error 4.29" 1 I K 0.2386 30226

Total 205.2117 26 100

III 2 PETilbLycra~@) J!!, III

H U f.!il.ze.U

I~"L ff~Ji DtM ,!Ii i1}~liJl (Jl!IilUt.!) SN ~I:.

r 130 50 1 1:30 0.0694 I0.0594 I0,0694 23.5673

!u~

I -ltiU 130

*-17 Nylon~JIl1t1t.ha.I..t-.tt{Z

, iHl. H U f.!k.ze,U

ili~tii SN ~t

l-ltiU otr.: u (*§Ud)

I

I 80 40 0.6 1:30 0.0533 I0.3467 [ 0.3667 10.1729 f.<lCIllr, sUm of Sgu~ DOl' Vari~ce F Contnbutlon

.. if;.>· 1.2389 2 0.6194 11.5885 9.2650

~:·ifi· L3473 2 0.6737 12.6030 10.1526

6.5309 3.2655 61.0911 52.5797 {Z 18 NyloniltLycra~~1t{l::./Jo~$-tt*

j:Y~!~, .', 2.1384 1.0692 20.0031 16.6277

i -!till. ~t ~~ J.!t~e.!ji

~,;-..

~

0.9621 18 0.0535 11.3750 ilHl:.ji S~ ;I:.

! ttilli *M U (If 0 j~ ji~l)

12.2117 26 100

";i29l ..­

80 40 0,9 1:30 0.0885 I 0.0985 I 0.1185 19.7456

8.7860 40.4993 12.3715 35.9100 2.4332

AI A1 Al 81 B2 BJ (I C2 C~

AJ A2 AJ BI B2 53 Cl C2 C3 DI D2 OJ

~'LUIAU"ji

III 3 Nylon~I") J!!, III

.- - - -- - - - - _. ._--_._----._-­

Al A2 A3 Bl B2 83 Cl C2 C3 DI 02 1)3

III 4 Nylon ;ItLycra~@) ~lE

495

參考文獻

相關文件

Table 3 Numerical results for Cadzow, FIHT, PGD, DRI and our proposed pMAP on the noisy signal recovery experiment, including iterations (Iter), CPU time in seconds (Time), root of

Performance metrics, such as memory access time and communication latency, provide the basis for modeling the machine and thence for quantitative analysis of application performance..

(3) Juelang Daosheng’s view of Zhuangzi as an esoteric Confucian and Confucius as the great systematizer of the three traditions stands in sharp contrast to the views of

Microphone and 600 ohm line conduits shall be mechanically and electrically connected to receptacle boxes and electrically grounded to the audio system ground point.. Lines in

Spatially resolved, time-averaged, multipoint measurements of flame emission spectra using two Cassegrain mirrors and two spectro- meters are performed and the results are used

[19] considered a weighted sum of multiple objectives, including minimizing the makespan, mean flow time, and machine idle time as a performance measurement, and proposed

This research uses 28 ITHs as the DMUs of DEA to assessment relative operating efficiency of model 1 (input variables are full time employees, cost of labor,

are the largest manufacturers, but the operating performance that the Asia Cement Co’s average of four indicators are leading the same industry and named in the third