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 PART - I

Chapter 4

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

Can a Single Parameter Characterize Fibre-Length Distribution?
 

Parameters of cotton fibre-length like comb-sorter effective-length, upper half mean length, upper-quartile length, and 2.5 % span length have been in use for deciding upon the distance between roller-nips in drafting systems. They are eminently suited for this purpose. These measures are, however, not discriminating enough to distinguish between cottons for their propensity to incur thin and thick places, and therefore irregularity, during roller drafting. This is because the above-listed parameters are not statistical parameters that specify the frequency distribution of fibre length. Indeed, the situation is very complex. The frequency distribution of the length of cottons does not follow any known theoretical type. Although the shape of length distribution seems to be typical of a variety, it varies from variety to variety. Figure I- 4 - i shows the various shapes encountered in commercial cotton in India: left-skewed unimodal, bi-modal, nearly rectangular, and right-skewed unimodal. The parameters of no known statistical distribution can, therefore, characterize all cottons for length and its variability, let alone characterize cottons for draftability. We had, therefore, to identify parameters that account for the draftability of cotton specifically for use in the irregularity fraction.

   
Characterizing Cottons for Susceptibility To Irregular Drafting
 
Yarn irregularity is the outcome of thin and thick places in the yarn. Almost all thin places and most thick places in the yarn are the result of out-of-turn movement of fibres in the drafting zones. How do fibres move out of turn in the drafting zone? The length of most fibres is less than the distance between the nips of consecutive rollers. There is, therefore a duration of time between the trailing end of a fibre leaving the grip of the rear roller-nip and the leading end of that fibre getting gripped by the forward nip. During this period of transit between the nips, a fibre is prone to accelerate out of turn to the speed of the forward nip, if the a length of the fibre is sufficiently intermingled with other fibres that are already in the grip of the front rollers. In the front zone of roller drafting systems, aprons are provided to counter this out of turn movement of fibres. The pressure between the aprons restrains fibres from being pulled forward out of turn by their merely being entangled with other fibres; yet the fibres are free to move forward when once they are themselves gripped by the front rollers. Thus the provision of aprons has contributed to a significant reduction in the yarn irregularity. This is because with the provision of aprons, not all the fibres are likely to get pulled forward out of turn. Fibres that are longer than a critical length will have their trailing part under the restraining influence of the aprons for most part of their transit from the rear nip to the forward nip. They will change over to the speed of the front-roller nip only on their leading ends being gripped by the front nip. The aprons, however, are not effective in restraining the out-of-turn movement of all fibres, because their influence is effective only upto a certain distance forward of the middle roller nip. Fibres that are shorter than a critical length may not be under the restraining influence of the aprons for part of their transit between the roller-nips. They are quite likely to get pulled forward out-of-turn if they are sufficiently intermingled with fibres that are already under the grip of the front-roller nip. In some cases such fibres may, for a duration of time, move alternately at the speed of either the middle rollers or the front rollers. This out-of-turn and irregular movement of fibres in the drafting zone is what results in thick and thin places in the drafted strand flowing out of the front nip -- in other words, yarn irregularity. Thus the propensity of cotton fibres to incur thin and thick places can be quantified by two critical lengths. Fibres longer than the first critical length are very unlikely to incur irregular movement; fibres shorter than the second the critical length are most likely to incur irregular movement. We had to identify these two critical lengths.
 
For this we spun each of the 12 cottons representing the widely different types of length distribution encountered in Indian commercial cottons – Figure I – 4 -i -- to NE 22, 30, and 40. Using the fibre and yarn data, we derived regression equations to estimate Uster counts of thin and thick places in yarns from the fibre characteristics of the cotton.
 
The investigations led to an important conclusion: three length parameters, namely, effective length, the percentage of fibres shorter than 12-mm., and the percentage of fibres longer than 24-mm. can be used to construct a floating-fibre index, Q; this index can then be combined with fibre-fineness into a function f(Q;H), which can be used to estimate accurately the frequencies of Uster thin and thick places in the yarn. - - Table – I –4 -i.
 
The appropriateness of these two critical lengths to discriminate between cottons for their susceptibility to drafting irregularity is highlighted by comparing S-4 cotton with two others. The effective length of S-4 cotton is much less than that of VL and DCH-32 cottons. Naturally, therefore, VL and DCH contain some fibres of very long length, that are not present in S-4. S-4 is also much coarser than the other two cottons. However, S-4 cotton is superior to VL and DCH in a unique respect: it has much less percentage of fibres shorter than 12-mm, and also much more percentage of fibres longer than 24-mm, than the other two cottons. The regression equation based on these two percentages correctly anticipates the observed fact that, in the propensity to incur thin and thick places during drafting, S-4 is comparable to the longer and finer VL and DCH. We can, therefore, use Q as the appropriate length parameter in F1, the irregularity fraction of
of the tenacity equation.
 
 
 
 
  Figure I – 4 - i. Frequency distribution of fibre-length of commercial Indian cottons
 
 
 
 
  Figure I – 4- -i continued: Frequency distribution of fibre-length of commercial Indian cottons
   
 

COTTON

Seed
Coat %
 in
Card
sliver

Q

f (Q;H)

ESTIMATED THIN PER 100 m

 

OBSERVED THIN
PER 100 m

ESTIMATED THICK PER 100 m

 

OBSERVED THICK
PER 100 m

NE

NE

NE

NE

22

30

40

22

30

40

22

30

40

22

30

40

CO 2

0.523

4.8

0.0032

75

141

296

92

143

249

165

206

283

153

202

282

J 34

0.231

4.49

0.0050

16

34

76

13

36

87

61

90

156

49

93

156

C J

0.113

4.47

0.0042

27

52

114

19

51

87

77

108

179

63

106

154

J34(K)

0.147

4.42

0.0058

11

23

54

4

15

52

48

73

135

29

62

118

SOM

0.163

4.41

0.0068

7

16

39

5

18

44

40

62

121

34

58

102

Jyoti

0.158

4.40

0.0056

11

24

57

5

17

43

49

75

138

37

71

122

F 414

0.164

4.38

0.0065

8

18

43

5

20

44

42

65

124

41

65

120

MCU 5

0.100

4.36

0.0097

3.0

7.8

21

3

9

34

27

45

97

33

64

127

MCU 7

0.210

4.33

0.0079

5

11

29

5

14

24

35

55

111

44

78

115

DCH

0.080

4.30

0.0114

2.2

5.8

16

1

6

15

24

41

90

27

64

110

VL

0.176

4.29

0.0133

1.6

4.5

13

1

4

12

22

38

85

20

37

74

S  4

0.09

4.26

0.0122

1.9

5.2

14

1

5

15

24

41

90

21

51

85

  Table I – 4 – i Agreement of estimates of Frequencies of Thin and Thick with Observed Values
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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