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 PART - I

CHAPTER 8

How General Is The General Equation ?
 

 

A Question of Extrapolation

 

The expression for irregularity fraction in The General Equation contains the floating fibre index that is obtained by compounding three parameters from the Baer diagram of cotton, namely, effective length, percentage fibres shorter than 12-mm and percentage fibres longer than 24-mm. The ATIRA spinning that was carried out to derive this expression includes cottons that cover a wide range of fibre-length distribution and fibre-fineness. Is the irregularity fraction capable of extrapolation to values beyond the range of values met with in these cottons?

   

Application to Hand Ginned Cottons

 

To answer this we made use of data from investigations in which three cottons each of which had been factory-ginned as well as hand ginned had been spun to yarn (25). As would be expected, the hand-ginned cottons contained much less percentages of short fibres, and much more percentages of long fibres than the corresponding factory-ginned cottons – Table I –8 -i. For calculating the CSP estimates we used the earlier ATIRA-data expressions for F2 and F3, and Bogdan’s expression for F4, but only re-evaluated by regression the numerical constants in F1. For the yarns from factory ginned and hand ginned cottons taken together, we found l = 2.66018, and m =  -0.74252. For seven out of the eight available yarns, the error in the CS estimate is acceptably low.

   

Applicability to Viscose Yarns

 

Like with cotton, for any count of yarn, a plot of CS against M yields an inverted parabola for viscose too. There is, however, a very important difference between the viscose and cotton curves: the viscose curve peaks up much faster than the cotton curve. There are two important differences between cotton and viscose  that can possibly explain this difference:

 
viscose fibres does not incur the gauge-length effect in fibre-bundle tenacity testing, and therefore G=0 for viscose.
for commercial viscose fibre of any staple, the %-age fibre shorter than 12-mm is = 0, and the %-age fibre longer than 24-mm is = 100.
 

Also the constant in Bogdan’s expression for the obliquity fraction, namely 0.014, may not be applicable to viscose. From available published data (9), we determined the value of d for viscose to be 0.0225. The cotton equation

 
 

thus simplifies itself to

 
 

for viscose.

 

Now the question is whether the cotton based expression for , together with the revised expression for obliquity fraction, can predict the fact that viscose yarns reach their maximum CS at a much smaller value of M than cotton yarns. Obviously

 
 

will be the maximum when

 
 
 

is the maximum. There is, thus, a simple method to verify the applicability of the cotton based expression to viscose: we compare the experimentally observed value of M (9) for maximum CS with the value of M that gives the maximum value of  the expression

 
 

Table I – 8 - ii  gives the results. The agreement is very close indeed. There are two important points to note here.

 
In the case of viscose, the %-age fibres shorter than 12-mm is = 0, and the %-age fibres longer than 24-mm is = 100. Because of this absolute uniformity of fibre-length, the effects on the optimum twist of fibre length and fineness, are very feeble; the increasing trend in the optimum twist with increasing count, however, is discernible. The cotton-data based expression for F2 convincingly accounts for these facts.  
For viscose F3 is = 1, as the fibre has no gauge-length effect on fibre-tenacity. In spite of this difference, the original cotton expression for F2 accounts for the contributing fibre fraction in this case also.  
 

Therefore, two important inferences emerge. Firstly, the partitioning of the effect of twist on CS into the two components, F2 and F3 is not a computational artifice, but is based on reality. Secondly, the numerical values that we get from the algebraic expressions for F2 and F3 are not altogether arbitrary, but reflect the actual.

 

We have, now, to check the overall accuracy of the viscose CS equation: -

 
 

For this we have to derive afresh, by regression, the constants in the expression for the irregularity fraction. We did this from published data (9). Table I –8 -ii compares the estimated and experimentally observed values of CS. The accuracy of estimates is good enough to conclude that The General Equation accounts for the way in which fibre-length and fibre-fineness influence the translation of fibre tenacity into yarn tenacity in the case of viscose yarns too.

 

We, therefore, have parameters derived from fibre-length test data that help us in characterizing cotton as well as viscose for susceptibility to irregularity in drafting, and in delineating the role of fibre length and fibre fineness in the translation of fibre tenacity into yarn tenacity.

 
 

 Cotton

L
mm

H
mtex

Z
g/t

F
g/t

S
%

B
%

NE
C

TM
M

OBS 
CS

%
ERR

S-4 fg

305

154

33.33

18.57

21.6

50.2

30

4.6

1963

-3.2

VL fg

36

106

39.06

23.81

14.6

67.8

30

4.6

2916

-3.1

DCH fg

40.6

103

43.14

25.63

19.5

59.4

30

4.6

3111

-3.3

 

40.6

103

43.14

25.63

19.5

59.4

80

3.9

2278

11.3

S-4 hg

30.7

154

32.47

18.73

12.1

69.1

30

4.6

2049

2.0

VL hg

36

106

41.06

23.17

11.6

72

30

4.6

3141

-4.0

DCH hg

41.5

103

43.14

24.60

11.4

74.2

30

4.6

3328

-2.7

 

41.5

103

43.14

24.60

11.4

74.2

80

3.9

2633

4.0















 

Table I - 8 -i : Application Of General Equation To Hand-Ginned CottonsOBS:experimentally observed; ERR:  error in estimate
fg factory-ginned; hg hand-ginned.

   
 

Viscose
Type

L
mm

H
millitex

NE

FOR MAX CS

% ERR IN CS EST

OBS TPI

EST TPI

 

TM

OBS
CS

%
Error

Normal

25.4

167

20

10.0

10.7

2.236

1810

0.8

Normal

25.4

167

40

15.0

16.1

2.372

1400

-2.4

Normal

25.4

167

60

20.0

20.4

2.905

1000

1.8

Normal

39.7

167

20

10.0

10.5

2.236

2280

4.2

Normal

39.7

167

40

15.0

15.6

2.372

1750

2.3

Normal

39.7

167

60

20.0

19.9

2.582

1300

4.0

Normal

50.8

167

20

10.0

10.4

2.236

2650

-3.0

Normal

50.8

167

40

15.0

15.5

2.372

1980

-2.0

Normal

50.8

167

60

20.0

19.8

2.582

1540

-4.8

Strong

39.7

167

20

NA

NA

2.236

2500

1.1

Strong

39.7

167

40

NA

NA

2.372

2050

-3.5

Strong

39.7

167

60

NA

NA

2.582

1610

-2.0

Strong

47.6

139

20

10.0

10.4

2.236

2700

4.3

Strong

47.6

139

40

15.0

15.6

2.372

2200

3.9

Strong

47.6

139

60

20.0

19.7

2.582

1800

4.6

Strong

39.7

111

20

10.0

10.1

2.236

2900

-4.5

Strong

39.7

111

40

15.0

15.1

2.372

2400

-2.9

Strong

39.7

111

60

20.0

19.1

2.582

2000

-1.0

 

Table I –8 –ii:  Application Of Equation To Viscose Yarns
OBS: experimentally observed;  EST: estimated from general equation.
NA: not available

Part - I
 
Understanding And Making Use Of The Equation
   
Chapter 1

Why Do We Need Another Equation for the Prediction of Yarn Tenacity?

Chapter 2

Strcturing the General Equation for Yarn Tenacity

Chapter 3

The Algebraic Expressions for the General Equation

Chapter 4

The Choice of Parameters of Fibre-Length Distribution for Use in the Irregularity Fraction

Chapter 5
Chapter 6

Making Use of the Equation in a Mill

Chapter 7

What Does the General Equation Tell Us?

Chapter 8

How General Is The General Equation ?

Chapter 9

Can We Use the General Equation to Estimate the CSP of Yarns from Mixings of Cottons?

Chapter 10

Can We Modify the General Equation to Estimate CSP Of Combed Yarns?

Chapter 11 A Note of Caution
Chapter 12
Chapter 13 The General Equation, A Tool for Economic Cotton Selection
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