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104 CHAPTER 4 THE EFFECT OF WEAVE STRUCTURES ON THE LOW STRESS MECHANICAL PROPERTIES OF WOVEN COTTON FABRICS 4.1 INTRODUCTION The structural design of a textile fabric is largely dictated by its end-use application. In the case of apparel and house hold fabrics, subjective factors such as drape, handle, wrinkle recovery, crease resistance, pilling, texture and softness are important. Consequently rational design of apparel and house hold fabrics involves an understanding of the mechanical properties that control these subjective characteristics and their correlation with end-use performance. Goswami (1978) studied the shear behavior of cotton polyester blended fabrics, which had plain, basket and satin structures. He found that the yarn float length and the yarn twist had a significant effect on the shear behavior. It is a well known fact that weave structure affects the most of the mechanical properties of woven fabric. Although some isolated studies were made in the past to correlate weave structure to the mechanical properties of woven fabrics, they were incomplete and did not provide any useful information. With the introduction of parameters such as Crossing over Firmness Factor (CFF) and Floating Yarn Factor (FYF) which have been suggested by Morino et al (2005), our understanding about fabric structure has improved. Milasius (2000) suggested a parameter called Fabric Firmness Factor (FFF) which takes into account both weave and sett. Matsudaira’s

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CHAPTER 4

THE EFFECT OF WEAVE STRUCTURES ON THE LOW

STRESS MECHANICAL PROPERTIES OF WOVEN

COTTON FABRICS

4.1 INTRODUCTION

The structural design of a textile fabric is largely dictated by its

end-use application. In the case of apparel and house hold fabrics, subjective

factors such as drape, handle, wrinkle recovery, crease resistance, pilling,

texture and softness are important. Consequently rational design of apparel

and house hold fabrics involves an understanding of the mechanical properties

that control these subjective characteristics and their correlation with end-use

performance.

Goswami (1978) studied the shear behavior of cotton polyester

blended fabrics, which had plain, basket and satin structures. He found that

the yarn float length and the yarn twist had a significant effect on the shear

behavior. It is a well known fact that weave structure affects the most of the

mechanical properties of woven fabric. Although some isolated studies were

made in the past to correlate weave structure to the mechanical properties of

woven fabrics, they were incomplete and did not provide any useful

information. With the introduction of parameters such as Crossing over

Firmness Factor (CFF) and Floating Yarn Factor (FYF) which have been

suggested by Morino et al (2005), our understanding about fabric structure

has improved. Milasius (2000) suggested a parameter called Fabric Firmness

Factor (FFF) which takes into account both weave and sett. Matsudaira’s

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105

parameters do not consider fabric sett. Although work on this aspect was

carried out by Hitomi Morino and Mitsuo Matsudaira (2005) this was found

to have limitations, which were pointed out by Milasius. Matsudaira (2007),

admitted the drawbacks in his paper and mentioned that further work in this

area was desirable.

There are seven major parameters of a fabric structure, which affect

the properties. These are the type of fibre, warp and weft sett, the warp and

weft linear density of the yarn and the fabric weave. Milasius has taken into

account all these factors, while suggesting integrated fabric structure factors.

This weave factor has been found to affect fabric weaveability (Kumpikaite

2003), beat up force (Kumpikaite et al 2003), fabric breaking force and

elongation (Kumpikaite 2007) at break, fabric breakage and the relation

(2008) between raw materials (Adomaitiene et al 2009) used and fabric

structure factor. Padaki et al (2010) have proposed interlacement index and

float index to quantify the structural influence of multilayer interlocked

woven fabrics. Chen and Liu (2011) have recently used fabric firmness factor

for relating fabric structural properties to surface structure of silk fabrics. This

paper is concerned with the effect of weave structures on the mechanical

properties of fabrics using the parameters suggested by Milasius and Morino

et al (2005) and Matsudaira et al (2000, 2005). Recent work by Fatahi and

Alamdar Yazdi (2012) has highlighted the importance of weave parameters in

their contribution to air permeability of fabrics.

4.2 MATERIALS AND METHODS

Three groups of fabrics were considered. In the first group 2/20 Ne

yarns were used in warp and weft and woven on an automatic loom. The five

fabric samples with different weave structures include a plain weave, 3/1 twill

weave, Honey comb weave, Huck a back weave and Mock leno weave. All

the fabrics have the same yarn and weave densities. The same finishing

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conditions were used. Weave structures for the samples included in group 1

are shown in Figure 4.1.

a. Plain b. 3/1 Drill [Twill] d. Mock Leno

c. Honey comb e. Huck-a-back

Figure 4.1 Weave structures of group 1

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Fabric structural parameters are given in Table 4.1.

Table 4.1 Details of fabrics of group 1

Count Per Decimeter

# Weave Cotton Warp

Tex

Weft

Tex Ends Picks

Yarn

Struc

ture

a Plain 59.05 59.05 157.5 157.5 2 fold

b 3/1 Twill [Drill] 59.05 59.05 157.5 157.5 2 fold

c Honey Comb 59.05 59.05 157.5 157.5 2 fold

d Mock Leno 59.05 59.05 157.5 157.5 2 fold

e Huck-a-back 59.05 59.05 157.5 157.5 2 fold

The second group consisted of eleven samples with different weave

structures, woven on the same automatic loom. These are Plain, 2/2 Twill, 4/4

Twill, 2/2 Pointed Twill, 8 thread Hopsack, 8 thread Weft Sateen, 8 thread

Honey Comb, 8 thread Brighton Honey Comb, 8 thread Huck-A-Back, 8

thread Crepe Cord & 8 thread Pin Head Crepe.

2/40 Ne cotton yarns were used in warp and weft. The same

finishing treatment was provided to all the fabric samples, so that comparison

with weave structures was made possible. Thus, two counts, one coarser and

the other fine counts were used.

Weave structures for the samples included in group 2 are shown in

Figure 4.2.

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a] Plain b] 2/2 twill c] 4/4 Twill

d] 2/2 Pointed twill e] 8 THD. twilled f] 8 THD weft sateen HOPSACK

g] 8 THD. honey comb h] 8 THD brighton i] 8 THD huck-a-back Honey comb

j] 8 THD crepe cord k] 8 THD pin head crepe

Figure 4.2 Weave structures of group 2

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Fabric structural parameters are given in the following Table 4.2.

Table 4.2 Details of fabics of group 2

Count Tex Per Decimeter # Weave Cotton

Warp Weft Ends S1 Picks S2

Yarn

Structure

a Plain 30 30 210 220 Two Fold

b 2/2 Twill 30 30 220 240 Two Fold

c 4/4 Twill 30 30 210 220 Two Fold

d 2/2 Pointed Twill 30 30 220 220 Two Fold

e 8 Thread Twilled Hopsack 30 30 210 230 Two Fold

f 8 Thread Weft Sateen 30 30 210 210 Two Fold

g 8 Thread Honey Comb 30 30 210 190 Two Fold

h 8 Thread Brighton Honey

Comb 30 30 210 220

Two Fold

i 8 Thread Huck-a-back 30 30 210 200 Two Fold

j 8 Thread Crepe Cord 30 30 210 210 Two Fold

k 8 Thread Pin Head Crepe 30 30 220 210 Two Fold

Table 4.3 Details of Group 3 fabrics

Bleached samples details Calculated weave

factors values # Weave

EPI PPI GSM Thickness

(mm)

Ends/

dm

Picks/

dm CFF FYF (FFF)

1 Dice 135 71 129.82 0.36 531.5 279.5 0.88 1.12 0.4451

2 Sponge 138 72 129.61 0.37 543.3 283.5 1.25 0.75 0.5813

3 Special Honey

Comb 140 69 129.53 0.38 551.2 271.6 0.84 1.16 0.4837

4 Granite 136 70 130.39 0.27 535.4 275.6 1.00 1.00 0.5076

5 2/2 Twill 146 70 129.55 0.28 574.8 275.6 1.00 1.00 0.5576

6 Plain 134 70 127.92 0.24 527.6 275.6 2.00 0.00 0.6815

7 4/1 Satin 133 70 131.45 0.32 523.6 275.6 0.80 1.20 0.4605

8 Crape 142 70 129.73 0.31 559.1 275.6 1.38 0.62 0.6027

9 3/1 Twill 146 70 134.33 0.29 574.8 275.6 1.00 1.00 0.5290

10 9/1 Satin 134 70 119.12 0.33 527.6 275.6 0.40 1.60 0.3407

11 Huck-a-back 140 70 131.36 0.43 551.2 275.6 1.44 0.56 0.6155

Table 4.3 contains details of Group 3 samples.

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1. Determination of the Parameters for Weave Structures.

a) Crossing Over Firmness Factor (CFF)

This, as defined by Morino et al (2005), is given by the following

formula:

Number of crossing-over lines in the complete repeat

CFF = (4.1)

Number of interlacing points in the complete repeat

Figure 4.3 gives details of a plain weave and its CFF.

Interlacing Point

Crossing-over line

Inter-space of weave

Figure 4.3 Complete repeat of one pain weave.

b) Floating Yarn Factor (FYF)

This is defined as follows:

(Type1-1x-1) x (existing number of type1-1x in the complete repeat)

FYF = (4.2)

Number of interlacing points in the complete repeat

c) Fabric Firmness Factor (FFF)

This is calculated using the following formula given by Milasius

(2000):

1 2

1 2 1 2

2/3 T /T1

1 2/3 T /T 1 2/3 T /Taverage

2 1

T12 1S S

P' (4.3)

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Where T1, T2 and Tavg are respectively warp count, weft count and average

count in Tex. P’ is the Milasius weave factor and is the fibre density. S1 and

S2 are ends and picks per decimeter. The third group comprised of eleven

fabrics and their details are shown in Figure 4.4.

(a) Dice Weave (b) Sponge weave (c) Special honey comb

(d) Granite weave (e) 2/2 Twill (f) Plain (g) 4/1 Satin

(h) Crape weave (i) 3/1 Twill (j) 9/1 Satin (k) Huck-a-back

Figure 4.4 Weave structures of Group 3

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d) Low Stress Mechanical Properties

The low stress mechanical properties such as tensile, bending,

shearing, compression, and surface properties were measured by the KES-FB

system maintaining standard atmospheric conditions namely 250 ± 2

0 C and

relative humidity 65 ± 2%. For the first group of samples bending rigidity by

cantilever, air permeability, drape, bursting strength and crease recovery

properties were also measured. In addition to measuring shear properties by

Kawabata’s shear tester, they were also measured by using bias extension

method as suggested by Buckenham (1997).

4.3 RESULTS AND DISCUSSION

Table 4.6 furnishes correlation coefficient between mechanical

properties and the weave parameters of group 1 samples and Table 4.5 shows

correlation coefficient between mechanical properties and the weave

parameters of group 2 samples.

In the case of group 1 fabric samples, CFF gives an indication of

the frequency of interlacing yarn. It is apparent that plain weave shows a

higher value of CFF and honey comb shows the lower value. Milasius [3]

Fabric Firmness Factor also shows the same trend although the methods of

calculation are quite different.

In the case of group 2 fabrics, the same trend has been noticed.

Fabric Firmness Factor is likely to be different since it takes into account

fabric sett. It is interesting to note that the addition of CFF and FYF is 2.

It is noticed that correlation between CFF (Crossing Over Firmness

Factor) and crease recovery shear is high and significant in group 1 samples.

The correlation between air permeability and the weave parameters is also

high and significant. Since CFF & FYF are interrelated in the sense that the

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sum of these two parameters is 2, the correlation between floating yarn factor

(FYF) and mechanical properties is negative. Thus the correlation between

FYF and the mechanical properties is a mirror image of CFF and other

properties. Since shear parameters are relevant to technical textiles

particularly in designing them for end uses such as conveyor belts and sail

cloth, this correlation between the various weave parameters and the

properties will assist a great deal. Also, since shear parameters are well

correlated the CFF & FFF in both the groups, it is considered to be a very

critical parameter for the woven fabric. This also means that it will suffice if

shear and bending parameters are measured for correlating weave structures

to mechanical properties. This also shows that the models which have been

developed for predicting shear properties of fabrics by Leaf and Sheta (1984),

Grosberg, Leaf and Park (1968) have to be modified in view of good relation

between weave structure and shear. As regards group II samples, again it is

noticed that the correlation between tensile energy (WT) and the weave

parameters is significant. Also bending and shearing properties are well

correlated with the weave parameters. This again shows that it is possible to

predict these properties precisely. The presence of floats in fabrics is

responsible for the decrease in shear parameters.

Table 4.4 gives the CFF and FYF values of group 1 fabric samples

and Table 4.5 gives the CFF and FYF values of group 2 fabric samples.

Table 4.4 Calculated results of CFF and FYF and FFF for Group 1 fabrics

# Weave CFF FYF FFF

a Plain weave 2.00 0.00 0.60

b 3/1 twill 1.00 1.00 0.45

c Honey comb 0.875 1.125 0.42

d Huck a back 1.44 0.56 0.53

e Mock leno 1.36 0.64 0.52

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Table 4.5 Calculated results of CFF and FYF and FFF for Group 2 fabrics

# Weave CFF FYF FFF

a Plain weave 2.00 0.00 0.59

b 2/2 Twill 1.00 1.00 0.50

c 4/4 Twill 0.50 1.50 0.33

d 2/2 Pointed Twill 0.969 1.031 0.46

e 8 Thread Twilled Hopsack 1.00 1.00 0.60

f 8 Thread Weft Sateen 0.50 1.50 0.32

g 8 Thread Honey Comb 1.188 0.812 0.43

h 8 Thread Brighton honey comb 1.50 0.50 0.53

i 8 Thread Huck-a-back 1.25 0.75 0.47

j 8 Thread Cord Crepe 1.50 0.50 0.52

k 8 Thread Pin Head Crepe 1.125 0.875 0.47

Table 4.6 Correlation Coefficient of Group 1 Samples

Property CFF FYF FFF

GSM -0.50155 0.44863 -0.76209

Flexural Rigidity 0.321913 -0.36598 -0.02493

Bending rigidity -0.28281 0.244039 -0.5112

2HB 0.146788 -0.16292 0.037228

2HB/B 0.124828 -0.09092 0.361459

Air Permeability -0.5404* 0.503927* -0.70321*

Drape Co Efficient 0.441818 -0.50001* 0.00817

Bursting Strength -0.39151 0.372745 -0.40298

Crease Recovery -0.95129* 0.923385* -0.96841*

Shear By Bias Extension Method 0.822168* -0.82908* 0.650427*

Kawabata Shear Tester 0.974827* -0.97705* 0.811077*

* Significant at 1% level.

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Table 4.7 Correlation Coefficient of group 2 Samples

Property CFF FYF FFF

Tensile

LT 0.512 -0.497 0.528

WT 0.674* -0.642* 0.661*

RT -0.507 0.485 -0.563

EMT 0.407 -0.378 0.374

Bending

B 0.659* -0.678* 0.514*

2HB 0.763* -0.779* 0.614*

Shearing

G 0.644* -0.654* 0.581*

2HG 0.673* -0.682* 0.612*

2HG5 0.659* -0.669* 0.608*

Compression

LC 0.142 -0.19 0.042

WC -0.127 -0.094 0.306

RC 0.011 -0.09 -0.09

Surface Properties

T -0.117 -0.118 -0.354

MIU 0.9 0.12 -0.058

MMD 0.505 -0.499 0.153

SMD 0.37 -0.321 -0.118

Weight 0.134 0.145 -0.02

THV 0.074 -0.11 0.357

* Significant at 1% level

Since the correlation between CFF and FFF in both the groups is

very high, it can be concluded that this relationship is independent of the

counts and sett used. The influence of fabric sett on the fabric integrated

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factor shows that the variations in this parameter are significant as Table 4.8

will demonstrate:

Table 4.8 Variations in FFF

Count tex PICKs #

Warp Weft Per dm Weave FFF

1 30 30 126.0 Plain 0.53

2 30 30 141.7 Plain 0.57

3 30 30 149.6 Plain 0.59

4 30 30 157.5 Plain 0.60

5 30 30 173.2 Plain 0.64

An examination of the data given in Table 4.8 shows that there is a

20% increase in FFF at a pick density of 173.2 in comparison with 126. In

view of the above, it is felt that Milasius’ method of representing fabric

structure is desirable and can be used for quantifying the fabric properties.

The correlation between CFF & FFF is excellent, as noticed in the

Figures 4.4a.

Figure 4.4a Correlation between CFF & FFF for Group 1

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Table 4.9 gives CFF, FYF and FFF for group 3 samples.

Table 4.9 Calculated results of CFF and FYF and FFF for Group 3 fabrics

# Weave CFF FYF FFF (B) FFF (G)

a Dice Weave 0.88 1.12 0.4451

b Sponge Weave 1.25 0.75 0.5813

c Special Honey Comb 0.84 1.16 0.4837

d Granite 1.00 1.00 0.5076

e 2/2 Twill 1.00 1.00 0.5576

f Plain 2.00 0.00 0.6815

g 4/1 Satin 0.80 1.20 0.4605

h Crepe 1.38 0.62 0.6027

i 3/1 Twill 1.00 1.00 0.5290

j 9/1 Satin 0.40 1.60 0.3407

k Huck-a-back 1.44 0.56 0.6155

Table 4.9 shows the calculated results of CFF, FYF and FFF. CFF

becomes bigger if the frequency of interlacing yarns is larger. The plain

weave shows a larger CFF and weave has the smallest CFF for the same warp

and weft yarn densities. FYF becomes larger with a longer floating length.

Satin weave has the largest FYF while the plain weave has the smallest value.

Relationship between parameters of weave structure and mechanical

properties is shown in Table 4.10.

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Table 4.10 Correlation coefficients between mechanical properties and

weave structure parameters (Group 3)

Mechanical properties CFF FYF FFF

LT 0.401 -0.401 0.451

WT -0.142 0.142 0.051

RT 0.141 0.141 0.205 Tensile

EMT -0.216 0.216 0.0046

B 0.413 -0.413 0.639* Bending

2HB 0.533 -0.533 0.729*

G 0.830* -0.830* 0.671*

2HG 0.874* -0.873* 0.775* Shearing

2HG(5) 0.871* -0.871* 0.726*

LC 0.075 -0.075 0.176

WC -0.104 0.104 -0.192 Compression

RC 0.269 -0.369 0.325

T -0.476 +0.476 -0.356

TM -0.599 +0.599 -0.241

MIU -0.626 0.626 -0.437

MMD -0.172 0.172 0.088

Surface

SMD 0.054 -0.054 0.295

Weight W 0.461 -0.461 0.504

* r (9,0.05) = 0.602 **r = (9, 0.01)

= 0.735

A single asterisk indicates 5% significance level and a double

asterisk means a 1% significance level. The correlation between CFF and

shear parameters is highly significant. However, FFF introduced by Milasius

is highly correlated with bending and shear parameters. This means that

bending and shear parameters can be predicted from FFF.

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Hand values and parameters of weave structures

Table 4.11 gives the correlation coefficients between hand values

and weave structure parameter. That Koshi is well correlated with all the

weave parameters can be noticed.

Table 4.11 Correlation coefficients between hand values and weave

structure parameters for group 3 samples

Hand value CFF FYF FFF

Koshi +902** -0.902** +842**

Numeri -0.07 0.07 -0.341

Fukurami +0.017 -0.017 -0.221

THV -0.414 0.414 -0.597

** r = (9, 0.05) = 0.605;

* r = (9, 0.01) = 0.764

The charts obtained from the KES-F system for fabrics have been

analysed for bending, shear, compression and surface properties. The various

deformations of the eleven fabrics included in Group 3 are discussed below in

seriatim.

4.4 BENDING DEFORMATION

Figures 4.5 to 4.15 show the bending curves for the samples.

It is clear that sponge weave shows higher area which means higher

hysteresis. By and large there is not much variation in the shapes of the

hysteresis curves.

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Figure 4.5 Bending hysteresis curve (Dice)

Figure 4.6 Bending hysteresis curves (sponge)

Figure 4.7 Bending hysteresis curve (Special honey comb)

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Figure 4.8 Bending hysteresis curve (Granite)

Figure 4.9 Bending hysteresis curve (Twill)

Figure 4.10 Bending hysteresis curve (Plain weave)

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Figure 4.11 Bending hysteresis curve (Satin)

Figure 4.12 Bending hysteresis curve (Crape)

Figure 4.13 Bending hysteresis curve (Drill)

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Figure 4.14 Bending hysteresis curve (Satin 9/1)

Figure 4.15 Bending hysteresis curve for Huckaback

Shear stress strain curves

From the Figures 4.16 to 4.26, it is apparent that plain weave shows

the highest shear value and the 9/1 satin shows the least value. Shear

hystereses (2HG, 2HG5) values follow the same trend.

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Figure 4.16 Shear stress strain curves for dice

Figure 4.17 Shear stress strain curves for sponge

Figure 4.18 Shear stress strain curves for special honey comb

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Figure 4.19 Shear stress strain curves (Granite)

Figure 4.20 Shear stress strain curves (2/2 Twill)

Figure 4.21 Shear stress strain curves (Plain)

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Figure 4.22 Shear stress strain curves (4/1 Satin)

Figure 4.23 Shear stress strain curves (Crape)

Figure 4.24 Shear stress strain curves (3/1 Twill)

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Figure 4.25 Shear stress strain curves (9/1 satin)

Figure 4.26 Shear stress strain curves (Hackaback)

Tensile properties

Figures 4.27 to 4.37 show the tensile curves of the samples. It is

apparent that 3/1 twill, sponge and 2/2 twill exhibit higher extension in weft

way in comparison with warp way. Thus fabric anisotropy is evident in these

weaves. Plain weave, among all the weaves, shows the least difference. Thus

the tensile curves also can be used for mapping the structures.

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Figure 4.27 Tensile curves (Dice)

Figure 4.28 Tensile curves (Sponge)

Figure 4.29 Tensile curves (Special honey comb)

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Figure 4.30 Tensile curves (Granite)

Figure 4.31 Tensile curves (2/2 Twill)

Figure 4.32 Tensile curves (Plain)

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Figure 4.33 Tensile curves (Satin)

Figure 4.34 Tensile curves (Crape)

Figure 4.35 Tensile curves (3/1 Drill)

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Figure 4.36 Tensile curves (9/1 Satin)

Figure 4.37 Tensile curves (Huckaback)

Compression curves

Figures 4.38 to 4.48 show the lateral compression curves. Plain

weave shows the highest compression as evidenced, from the curves. Among

the two satin weaves, 4/1 and 9/1, the former exhibits higher compression

than that of the latter.

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Figure 4.38 Compression curves (Dice)

Figure 4.39 Compression curves (Sponge)

Figure 4.40 Compression curves (Special honey comb)

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Figure 4.41 Compression curves (Granite)

Figure 4.42 Compression curves (Twill)

Figure 4.43 Compression curves (Plain)

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Figure 4.44 Compression curves (Satin)

Figure 4.45 Compression curves (Crape)

Figure 4.46 Compression curves (3/1 Drill)

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Figure 4.47 Compression curves (9/1 Satin)

Figure 4.48 Compression curves (Huckaback)

Surface properties

Figures 4.49 to 4.59 show typical records from the surface tester in

respect of eleven weaves. It is clear that all the fabrics show higher

coefficients of friction in weft way, the highest being dice. Plain weave shows

no difference at all between the two directions.

As regards SMD values, huckaback displays highest peak

amplitude compared to 4/1 satin weave. That peak amplitude and resistance to

motion can be related to smoothness is well known. It is interesting to see that

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the peak amplitudes show an increase in weft way. Between the two satin

weaves, 4/1 satin has lower value of surface smoothness. This could serve as

a pointer for fabric selection.

Figure 4.49 Typical records from surface tester (Dice)

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Figure 4.50 Typical records from surface tester (Sponge)

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Figure 4.51 Typical records from surface tester (Special honey comb)

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Figure 4.52 Typical records from surface tester (Granite)

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Figure 4.53 Typical records from surface tester (2/2 Twill)

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Figure 4.54 Typical records from surface tester (Plain)

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Figure 4.55 Typical records from surface tester (4/1 Satin)

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Figure 4.56 Typical records from surface tester (Crape)

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Figure 4.57 Typical records from surface tester (3/1 Twill)

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Figure 4.58 Typical records from surface tester (9/1 Satin)

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Figure 4.59 Typical records from surface tester (Huckaback)

Table 4.12 presents correlation coefficients. Prediction equation are

given in Table 4.13.

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Table 4.12 Correlation table for Kawabata results (Group 3)

Parameters CFF FYF FFF

Air Permeability Bleached 0.827 0.881 0.881

Water vapour Permeability -0.295 0.295 -0.302

Sinking Time 0.497 -0.497 0.496

Thermal Resistance -0.508 0.508 -0.602

Koshi 0.893** -0.893** 0.846**

Numeri -0.384 0.384 -0.337

Fukurami -0.276 0.276 -0.217

THV (Total hand value) -0.684* 0.684* -0.599 *

Bending Recovery % -0.291 0.291 -0.210

Shear Recovery % 0.313 -0.313 0.281

LC 0.172 -0.172 0.166

WC -0.226 0.226 -0.189

RC 0.371 -0.371 0.317

% Compression 0.170 -0.170 0.157

To -0.398 0.398 -0.357

Tm -0.269 0.269 -0.243

W 0.313 -0.313 0.497

LT 0.497 -0.497 0.456

WT -0.205 0.205 0.041

RT 0.199 -0.199 0.208

EMT -0.250 0.250 -0.005

G 0.796** -0.796** 0.677*

2HG 0.868** -0.868** 0.782**

2HG5 0.814** -0.814** 0.733*

2HG/G -0.129 0.129 0.016

2HG5/G 0.275 -0.275 0.476

B 0.572 -0.572 0.641*

2HB 0.659* -0.659* 0.733*

2HB/B 0.690* -0.690* 0.765**

M1U -0.430 0.430 -0.438

MMD 0.134 -0.134 0.081

SMD 0.304 -0.304 0.291

Note: ** - Significant at 1% level;

* - Significant at 5% level;

r = (9, 0.05) = 0.605

r = (9, 0.01) = 0.764

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Table 4.13 Multiple Regression Analysis

1. Air Permeability = 85.693 + 17.979 FYF - 66.422 FFF

2. Water Wapour Permeability = 4012.63+ 64.278 FYF - 824.44 FFF

3. Sinking Time = 1.382 - 0.506 FYF + 1.929 FFF

4. Thermal Resistance = 29.941 - 4.110 FYF - 33.005 FFF

5. Koshi = 7.530 - 0.903 FYF - 0.205 FFF

6. Numeri = 2.035 + 1.935 FYF + 3.890 FFF

7. Fukurami = 3.009 + 1.472 FYF + 4.298 FFF

8. THV = -0.010 + 1.759 FYF + 3.602 FFF

9. Bending Recovery % = 65.821 + 3.762 FYF + 12.289 FFF

10. Shear Recovery % = 81.239-5.151 FYF-8.536 FFF

11. LC = 0.570 - 0.014 FYF + 0.010 FFF

12. WC = 0.051+ 0.004 FYF + 0.011 FFF

13. RC = 49.973 - 4.719 FYF - 10.984 FFF

14. % Compression = 39.346 - 2.998 FYF - 3.062 FFF

15. To = 0.456 + 0.094 FYF + 0.158 FFF

16. Tm = 0.280 + 0.074 FYF + 0.118 FFF

17. W = 9.139 + 1.044 FYF + 5.727 FFF

18. LT = 0.877 - 0.043 FYF - 0.052 FFF

19. WT = -1.770 + 0.691 FYF + 2.962 FFF

20. RT = 40.094 - 0.093 FYF + 7.833 FFF

21. EMT = -7.414 + 3.006 FYF + 12.646 FFF

22. G = ->(5.449-2.152 FYF-5.122 FFF v

23. 2HG = 6.723 - 2.829 FYF - 4.563 FFF

24. 2HG5 = 13.911 - 6.067 FYF - 9.898 FFF

25. 2HG / G = -1.333+ 1.162 FYF+ 4.951 FFF

26. 2HG5/G = -5.020 + 2.435 FYF + 12.931 FFF .

27. B = 0.005 + 0.009 FYF + 0.097 FFF

28. 2HB = -0.026 + 0.012 FYF + 0.144 FFF

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29. 2HB/B = 0.408 + 0.072 FYF + 0.891 FFF

30. MIU = 0.189 + 0.004 FYF - 0.037 FFF

31. MMD = 0.059 - 0.014 FYF - 0.052 FFF

32. SMD = 9.078 - 2.807 FYF + 0.600 FFF

MULTIPLE CORRELATIONS (r)

TABLE 4.13.1

CFF FYF FFF Air Permeability

CFF 1.000

FYF -1.000** 1.000

FFF 0.952** -0.952 1.000

Air Permeability 0.881** 0.827** 0.881** 1.000

Note : ** - Significant at 1% level; * - Significant at 5% level

TABLE 4.13.2

CFF FYF FFF Water Wapour

Permeability

CFF 1.000

FYF -1.000** 1.000

FFF 0.952** -0.952** 1.000

Water Vapour

Permeability -0.295 0.295 -0.302 1.000

Note : ** - Significant at 1% level; * - Significant at 5% level

TABLE 4.13.3

CFF FYF FFF Sinking Time

CFF 1.000

FYF -1.000** 1.000

FFF 0.952** -0.952** 1.000

Sinking Time 0.497 -0.497 0.496 1.000

Note : ** - Significant at 1% level; * - Significant at 5% level

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TABLE 4.13.4

CFF FYF FFF Thermal

Resistance

CFF 1.000

FYF -1.000** 1.000

FFF 0.952** -0.952** 1.000

Thermal Resistance -0.508 0.508 -0.602 1.000

Note : ** - Significant at 1% level; * - Significant at 5% level

TABLE 4.13.5

CFF FYF FFF Koshi

CFF 1.000

FYF -1.000** 1.000

FFF 0.952** -0.952** 1.000

Koshi 0.893** -0.893** 0.846 1.000

TABLE 4.13.6

CFF FYF FFF Numeri

CFF 1.000

FYF -1.000** 1.000

FFF 0.952** -0.952** 1.000

Numeri -0.384 0.384 -0.337 1.000

TABLE 4.13.7

CFF FYF FFF Fukurami

CFF 1.000

FYF -1.000** 1.000

FFF 0.952** -0.952** 1.000

Fukurami -0.276 0.276 -0.217 1.000

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TABLE 4.13.8

CFF FYF FFF THV

CFF 1.000

FYF -1.000** 1.000

FFF 0.952** -0.952** 1.000

THV -0.684* 0.684* -0.599 1.000

TABLE 4.13.9

CFF FYF FFF Bending

Recovery %

CFF 1.000

FYF -1.000** 1.000

FFF 0.952** -0.952** 1.000

Bending

Recovery % -0.291 0.291 -0.210 1.000

TABLE 4.13.10

CFF FYF FFF Shear

Recovery %

CFF 1.000

FYF -1.000** 1.000

FFF 0.952** -0.952** 1.000

Shear

Recovery % 0.313 -0.313 0.281 1.000

TABLE 4.13.11

CFF FYF FFF LC

CFF 1.000

FYF -1.000** 1.000

FFF 0.952** -0.952** 1.000

LC 0.172 -0.172 0.166 1.000

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TABLE 4.13.12

CFF FYF FFF WC

CFF 1.000

FYF -1.000** 1.000

FFF 0.952** -0.952** 1.000

WC -0.226 0.226 -0.189 1.000

TABLE 4.13.13

CFF FYF FFF RC

CFF 1.000

FYF -1.000** 1.000

FFF 0.952** -0.952** 1.000

RC 0.371 -0.371 0.317 1.000

TABLE 4.13.14

CFF FYF FFF % Compression

CFF 1.000

FYF -1.000** 1.000-

FFF 0.952** -0.952** 1.000

% Compression 0.170 -0.170 0.157 1.000

TABLE 4.13.15

CFF FYF FFF TO

CFF 1.000

FYF -1.000** 1.000

FFF 0.952** -0.952** 1.000

FT_TO -0.398 0.398 -0.357 1.000

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TABLE 4.13.16

CFF FYF FFF FT_TM

CFF 1.000

FYF -1.000** 1.000

FFF 0.952** -0.952** 1.000

FT_TM -0.269 0.269 -0.243 1.000

TABLE 4.13.17

CFF FYF FFF W (Weight)

CFF 1.000

FYF -1.000** 1.000

FFF 0.952** -0.952** 1.000

W 0.313 -0.313 0.497 1.000

TABLE 4.13.18

CFF FYF FFF LT

CFF 1.000

FYF -1.000** 1.000

FFF 0.952** -0.952** 1.000

LT 0.497 -0.497 0.456 1.000

TABLE 4.13.19

CFF FYF FFF FT_TM

CFF 1.000

FYF -1.000** 1.000

FFF 0.952** -0.952** 1.000

WT -0.205 0.205 0.041 1.000

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TABLE 4.13.20

CFF FYF FFF EMT

CFF 1.000

FYF -1.000** 1.000

FFF 0.952** -0.952** 1.000

EMT -0.250 0.250 -0.005 1.000

TABLE 4.13.21

CFF FYF FFF G

CFF 1.000

FYF -1.000** 1.000

FFF 0.952** -0.952** 1.000

G 0.796** -0.796** 0.677 1.000

TABLE 4.13.22

CFF FYF FFF 2HG

CFF 1.000

FYF -1.000** 1.000

FFF 0.952** -0.952** 1.000

2HG 0.868** -0.868** 0.782 1.000

TABLE 4.13.23

CFF FYF FFF 2HG5

CFF 1.000

FYF -1.000** 1.000

FFF 0.952** -0.952** 1.000

2HG5 0.814** -0.814** 0.733 1.000

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TABLE 4.13.24

CFF FYF FFF 2HG/G

CFF 1.000

FYF -1.000** 1.000

FFF 0.952** -0.952** 1.000

2HG/G -0.129 0.129 0.016 1.000

TABLE 4.13.25

CFF FYF FFF 2HG5/G

CFF 1.000

FYF -1.000** 1.000

FFF 0.952** -0.952** 1.000

2HG5/G 0.275 -0.275 0.476 1.000

TABLE 4.13.26

CFF FYF FFF B

CFF 1.000

FYF -1.000** 1.000

FFF 0.952** -0.952** 1.000

B 0.572 -0.572 0.641 1.000

TABLE 4.13.27

CFF FYF FFF 2HB

CFF 1.000

FYF -1.000** 1.000

FFF 0.952** -0.952** 1.000

2HB 0.659* -0.659* 0.733 1.000

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TABLE 4.13.28

CFF FYF FFF 2HB/B

CFF 1.000

FYF -1.000** 1.000

FFF 0.952** -0.952** 1.000

2HB/B 0.690* -0.690* 0.765 1.000

TABLE 4.13.29

CFF FYF FFF MIU

CFF 1.000

FYF -1.000** 1.000

FFF 0.952** -0.952** 1.000

MIU -0.430 0.430 -0.438 1.000

TABLE 4.13.30

CFF FYF FFF MMD

CFF 1.000

FYF -1.000** 1.000

FFF 0.952** -0.952** 1.000

MMD 0.134 -0.134 0.081 1.000

TABLE 4.13.31

CFF FYF FFF SMD

CFF 1.000

FYF -1.000** 1.000

FFF 0.952** -0.952** 1.000

SMD 0.304 -0.304 0.291 1.000

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TABLE 4.13.32

CFF FYF FFF SMD

CFF 1.000

FYF -1.000** 1.000

FFF 0.952** -0.952** 1.000

SMD 0.304 -0.304 0.291 1.000

4.4 CONCLUSIONS

There exists a positive correlation between CFF and bending and

shear properties. The same comments hold good for FYF and mechanical

properties also. Most of the correlation coefficients are in line with FYF and

CFF. As the float length increases, the shear rigidity decreases and the

converse is true for CFF. These are in agreement with the findings of Morino

and Matsudaira (2005). It is interesting to note that the correlation between

the weave parameters and compression and surface properties is very poor.

THV and surface parameters have very poor correlation with weave

parameters. Tensile properties, save in one or two cases, also bear very little

relation with the weave parameters. The above findings show that bending

and shearing parameters can only be predicted with the weave structures.

With an increase in float length, the bending and shear rigidities show a

decrease. Milasius’s parameter merits consideration, as it includes fabric sett.

Matsudaira’s parameter can be used as it is quite simple to compute for

fabrics. Shear parameters are found to be independent of yarn count used in

the current study and are highly dependent on CFF & FFF. It will suffice, if

only shear and bending parameters of fabrics are determined. Fabrics become

soft with larger value of FYF. It is possible to predict the mechanical

properties namely bending and shear from weave parameters using the

prediction equations.