A seminar entitled 'Moisture management and wicking behaviour of textiles', presented in department of Textile and Apparel Designing, College of Community Science, UAS, Dharawad, by Pratikhya Badanayak and Dr. Jyoti Vastrad.
TOPICS COVERED: ASOLUTE AND RELATIVE HUMIDITY MOISTURE REGAIN AND CONTENT Regain-Humidity Relations of Textiles Regain VS Relative Humidity Curve Factors Affecting the Regain of Textile Materials Effect of moisture on properties
Needle punch is the second-largest market segment in terms of capacity after the spunbond process segment. It is a continuously growing market with new opportunities and growing demands in its core applications like automotive, geotextiles, filtration, and home products.
For more information log on to www.ategroup.com.
TOPICS COVERED: ASOLUTE AND RELATIVE HUMIDITY MOISTURE REGAIN AND CONTENT Regain-Humidity Relations of Textiles Regain VS Relative Humidity Curve Factors Affecting the Regain of Textile Materials Effect of moisture on properties
Needle punch is the second-largest market segment in terms of capacity after the spunbond process segment. It is a continuously growing market with new opportunities and growing demands in its core applications like automotive, geotextiles, filtration, and home products.
For more information log on to www.ategroup.com.
An Overview on Objective Evaluation of Wicking Property of the Textile Materi...CrimsonpublishersTTEFT
Moisture management property is a significant feature of any clothing and especially meant for active sportswear, which determines the comfort level of that fabric. Every human being sweats during different kinds of activities. The major requirement of this moisture management performance is to absorb the sweat quickly from the skin and transport it to the outer surface of the garment to evaporate it quickly in order to keep the body dry and cool. This paper reviews various works done in development of system and instruments used in the evaluation of the moisture transport property of the textile material objectively.
Deep Behavioral Phenotyping in Systems Neuroscience for Functional Atlasing a...Ana Luísa Pinho
Functional Magnetic Resonance Imaging (fMRI) provides means to characterize brain activations in response to behavior. However, cognitive neuroscience has been limited to group-level effects referring to the performance of specific tasks. To obtain the functional profile of elementary cognitive mechanisms, the combination of brain responses to many tasks is required. Yet, to date, both structural atlases and parcellation-based activations do not fully account for cognitive function and still present several limitations. Further, they do not adapt overall to individual characteristics. In this talk, I will give an account of deep-behavioral phenotyping strategies, namely data-driven methods in large task-fMRI datasets, to optimize functional brain-data collection and improve inference of effects-of-interest related to mental processes. Key to this approach is the employment of fast multi-functional paradigms rich on features that can be well parametrized and, consequently, facilitate the creation of psycho-physiological constructs to be modelled with imaging data. Particular emphasis will be given to music stimuli when studying high-order cognitive mechanisms, due to their ecological nature and quality to enable complex behavior compounded by discrete entities. I will also discuss how deep-behavioral phenotyping and individualized models applied to neuroimaging data can better account for the subject-specific organization of domain-general cognitive systems in the human brain. Finally, the accumulation of functional brain signatures brings the possibility to clarify relationships among tasks and create a univocal link between brain systems and mental functions through: (1) the development of ontologies proposing an organization of cognitive processes; and (2) brain-network taxonomies describing functional specialization. To this end, tools to improve commensurability in cognitive science are necessary, such as public repositories, ontology-based platforms and automated meta-analysis tools. I will thus discuss some brain-atlasing resources currently under development, and their applicability in cognitive as well as clinical neuroscience.
Observation of Io’s Resurfacing via Plume Deposition Using Ground-based Adapt...Sérgio Sacani
Since volcanic activity was first discovered on Io from Voyager images in 1979, changes
on Io’s surface have been monitored from both spacecraft and ground-based telescopes.
Here, we present the highest spatial resolution images of Io ever obtained from a groundbased telescope. These images, acquired by the SHARK-VIS instrument on the Large
Binocular Telescope, show evidence of a major resurfacing event on Io’s trailing hemisphere. When compared to the most recent spacecraft images, the SHARK-VIS images
show that a plume deposit from a powerful eruption at Pillan Patera has covered part
of the long-lived Pele plume deposit. Although this type of resurfacing event may be common on Io, few have been detected due to the rarity of spacecraft visits and the previously low spatial resolution available from Earth-based telescopes. The SHARK-VIS instrument ushers in a new era of high resolution imaging of Io’s surface using adaptive
optics at visible wavelengths.
Introduction:
RNA interference (RNAi) or Post-Transcriptional Gene Silencing (PTGS) is an important biological process for modulating eukaryotic gene expression.
It is highly conserved process of posttranscriptional gene silencing by which double stranded RNA (dsRNA) causes sequence-specific degradation of mRNA sequences.
dsRNA-induced gene silencing (RNAi) is reported in a wide range of eukaryotes ranging from worms, insects, mammals and plants.
This process mediates resistance to both endogenous parasitic and exogenous pathogenic nucleic acids, and regulates the expression of protein-coding genes.
What are small ncRNAs?
micro RNA (miRNA)
short interfering RNA (siRNA)
Properties of small non-coding RNA:
Involved in silencing mRNA transcripts.
Called “small” because they are usually only about 21-24 nucleotides long.
Synthesized by first cutting up longer precursor sequences (like the 61nt one that Lee discovered).
Silence an mRNA by base pairing with some sequence on the mRNA.
Discovery of siRNA?
The first small RNA:
In 1993 Rosalind Lee (Victor Ambros lab) was studying a non- coding gene in C. elegans, lin-4, that was involved in silencing of another gene, lin-14, at the appropriate time in the
development of the worm C. elegans.
Two small transcripts of lin-4 (22nt and 61nt) were found to be complementary to a sequence in the 3' UTR of lin-14.
Because lin-4 encoded no protein, she deduced that it must be these transcripts that are causing the silencing by RNA-RNA interactions.
Types of RNAi ( non coding RNA)
MiRNA
Length (23-25 nt)
Trans acting
Binds with target MRNA in mismatch
Translation inhibition
Si RNA
Length 21 nt.
Cis acting
Bind with target Mrna in perfect complementary sequence
Piwi-RNA
Length ; 25 to 36 nt.
Expressed in Germ Cells
Regulates trnasposomes activity
MECHANISM OF RNAI:
First the double-stranded RNA teams up with a protein complex named Dicer, which cuts the long RNA into short pieces.
Then another protein complex called RISC (RNA-induced silencing complex) discards one of the two RNA strands.
The RISC-docked, single-stranded RNA then pairs with the homologous mRNA and destroys it.
THE RISC COMPLEX:
RISC is large(>500kD) RNA multi- protein Binding complex which triggers MRNA degradation in response to MRNA
Unwinding of double stranded Si RNA by ATP independent Helicase
Active component of RISC is Ago proteins( ENDONUCLEASE) which cleave target MRNA.
DICER: endonuclease (RNase Family III)
Argonaute: Central Component of the RNA-Induced Silencing Complex (RISC)
One strand of the dsRNA produced by Dicer is retained in the RISC complex in association with Argonaute
ARGONAUTE PROTEIN :
1.PAZ(PIWI/Argonaute/ Zwille)- Recognition of target MRNA
2.PIWI (p-element induced wimpy Testis)- breaks Phosphodiester bond of mRNA.)RNAse H activity.
MiRNA:
The Double-stranded RNAs are naturally produced in eukaryotic cells during development, and they have a key role in regulating gene expression .
Professional air quality monitoring systems provide immediate, on-site data for analysis, compliance, and decision-making.
Monitor common gases, weather parameters, particulates.
Richard's aventures in two entangled wonderlandsRichard Gill
Since the loophole-free Bell experiments of 2020 and the Nobel prizes in physics of 2022, critics of Bell's work have retreated to the fortress of super-determinism. Now, super-determinism is a derogatory word - it just means "determinism". Palmer, Hance and Hossenfelder argue that quantum mechanics and determinism are not incompatible, using a sophisticated mathematical construction based on a subtle thinning of allowed states and measurements in quantum mechanics, such that what is left appears to make Bell's argument fail, without altering the empirical predictions of quantum mechanics. I think however that it is a smoke screen, and the slogan "lost in math" comes to my mind. I will discuss some other recent disproofs of Bell's theorem using the language of causality based on causal graphs. Causal thinking is also central to law and justice. I will mention surprising connections to my work on serial killer nurse cases, in particular the Dutch case of Lucia de Berk and the current UK case of Lucy Letby.
Richard's entangled aventures in wonderlandRichard Gill
Since the loophole-free Bell experiments of 2020 and the Nobel prizes in physics of 2022, critics of Bell's work have retreated to the fortress of super-determinism. Now, super-determinism is a derogatory word - it just means "determinism". Palmer, Hance and Hossenfelder argue that quantum mechanics and determinism are not incompatible, using a sophisticated mathematical construction based on a subtle thinning of allowed states and measurements in quantum mechanics, such that what is left appears to make Bell's argument fail, without altering the empirical predictions of quantum mechanics. I think however that it is a smoke screen, and the slogan "lost in math" comes to my mind. I will discuss some other recent disproofs of Bell's theorem using the language of causality based on causal graphs. Causal thinking is also central to law and justice. I will mention surprising connections to my work on serial killer nurse cases, in particular the Dutch case of Lucia de Berk and the current UK case of Lucy Letby.
Comparing Evolved Extractive Text Summary Scores of Bidirectional Encoder Rep...University of Maribor
Slides from:
11th International Conference on Electrical, Electronics and Computer Engineering (IcETRAN), Niš, 3-6 June 2024
Track: Artificial Intelligence
https://www.etran.rs/2024/en/home-english/
Earliest Galaxies in the JADES Origins Field: Luminosity Function and Cosmic ...Sérgio Sacani
We characterize the earliest galaxy population in the JADES Origins Field (JOF), the deepest
imaging field observed with JWST. We make use of the ancillary Hubble optical images (5 filters
spanning 0.4−0.9µm) and novel JWST images with 14 filters spanning 0.8−5µm, including 7 mediumband filters, and reaching total exposure times of up to 46 hours per filter. We combine all our data
at > 2.3µm to construct an ultradeep image, reaching as deep as ≈ 31.4 AB mag in the stack and
30.3-31.0 AB mag (5σ, r = 0.1” circular aperture) in individual filters. We measure photometric
redshifts and use robust selection criteria to identify a sample of eight galaxy candidates at redshifts
z = 11.5 − 15. These objects show compact half-light radii of R1/2 ∼ 50 − 200pc, stellar masses of
M⋆ ∼ 107−108M⊙, and star-formation rates of SFR ∼ 0.1−1 M⊙ yr−1
. Our search finds no candidates
at 15 < z < 20, placing upper limits at these redshifts. We develop a forward modeling approach to
infer the properties of the evolving luminosity function without binning in redshift or luminosity that
marginalizes over the photometric redshift uncertainty of our candidate galaxies and incorporates the
impact of non-detections. We find a z = 12 luminosity function in good agreement with prior results,
and that the luminosity function normalization and UV luminosity density decline by a factor of ∼ 2.5
from z = 12 to z = 14. We discuss the possible implications of our results in the context of theoretical
models for evolution of the dark matter halo mass function.
3. Clothing comfort
The basic requirement of clothing is that it must not cause discomfort for the wearer.
Modern consumers are interested in clothing that does not only looks good, but also feel
good. Comfort as a pleasant state of physiological, psychological and physical harmony
between human being and the environment.
1. Physiological comfort is related to human body’s ability to maintain life, psychological
comfort is the mind’s ability to keep it functioning satisfactorily with external help and
physical comfort is the effect of external environment on the body.
• Aspects of physiological and psychological comfort
• Thermo physiological comfort
It is attainment of comfort through thermal and wetness state. It involves transport of
heat and moisture through a fabric.
• Sensorial comfort
It is the elicitation of various neutral sensations when a textile comes into contact with
skin.
• Body moment comfort
It is the ability of textile to allow freedom of movement, reduced burden and body
shaping as required.
• Aesthetic appeal
It is subjective perception of clothing to eye, hand, ear and nose which contributes to
the overall well being of the wearer. 3
10. Diffusion
Water vapour can diffuse through a textile structure
in two ways:
10
Air spaces between
the fibres
Yarns and along the
fibre itself
Factors affect diffusion process-
1. Fibre volume fraction
2. Fibre cross section
3. Fabric thickness
4. Air permeability
12. Convection and condensation
12
Convection
• Moving air
• Ventilation
Condensation (3 stages)
• Velocity, temp. and vapour
concentration field
• Liquid content increase
• Critical value
13. Wetting and wicking
13
Fluid spreading
Evaporation
Factors affect wetting-
1. Contact angle between the solid and
liquid
2. Surface tension between solid and
liquid
3. Liquid density, viscosity and surface
tension
4. Chemical nature of surface
Factors affect wicking process-
1. Capillary pressure
2. Cross sectional shape of fibre
3. Tortuosity of the pores
4. Twist of yarn
5. Texture of yarn
14. Equipments/methods to measures moisture
management through clothing
Vapour transmission
Gravimetric method
Moisture vapour transmission cell
Sweating Guarded Hot Plate
Permetest method
14
16. Moisture management instruments and testing method
Vapour transmission
Gravimetric/Cup method
(ASTM E 96)
Inverted cup methodCup method
Sweating Guarded Hot Plate
(ASTM F1868 – 17)
Take 30ml of distilled water in a cup and
weigh it
Tie the fabric on the cup tightly
Keep it for 24 hours and record the weight
of remaining water
Cut the sample according to the tamplet
given
Place the fabric on the hot plate
The equipment is heated to skin surface
temperature of 33 to 36°C, through the
test sample
Water reservoir acts as artificial sweating
Rate of transfer of sweat is displayed on
the machine screen
17. Permetest- skin model
(ISO 11092)
Moisture vapour transmission cell
(ASTM E96)
Vapour transmission
Evaporative dish method
(BS 7209)
Place the fabric inside the
disc
Humidity will be generated
inside the instrument under
controlled condition at
certain time
Note the change in humidity
at time intervals
Mount the sample over the
open mouth of the test
dish in a airtight manner
The dish contains
predetermined quantity of
water
It gives the moisture
vapour transfer properties
of the mono and
multilayered fabric
First cover the measuring
head by semi permeable foil
Measure the heat flow value
without placing sample
Place the test sample on the
wetted area of diameter
(80mm)
The amount of evaporation
from the active porous surface
is measured
18. WettingOptical Tensiometre
(ASTM D 1331-11)
Spray rating tester
(AATCC 22, ISO 4920)
Goniometre
(ASTM D5946)
Moisture transmission
Mount the fabric sample
on the clamp
Using a burette drop water
(diameter- 30 to 50μm) on
the sample
Optics and high speed
camera will take images of
the small droplet and the
contact angle that are
displayed on the screen
Cut the sample according to
the tamplet
Place sample on the circular
disc
Fill distilled water on the
funnel
Allow that water to be
sprayed through a nozzle
onto the test specimen at
45° and 150mm below the
nozzle
Mount the fabric sample on
the clamp
Using a burette drop water
on the sample
The drop diameter is higher
than Tensiometre
Measure the contact angle
through image processing
19. Wicking
Moisture management
tester (AATCC 195) Vertical wicking
apparatus
(AATCC TM 197)
Transverse wicking
apparatus
(AATCC 198 [9])
Horizontal wicking
apparatus
(AATCC TM 198)
Moisture transmission
Clamp 10 cm X 10 cm of
sample on the stand.
Drop 40 µL of distilled water
slowly from the burette on the
fabric for 2 sec.
After saturation level, excess
water drops will fall down
through fabric.
Note down the time taken
from starting to saturation level
Trace the water spread area
using a trace paper (MM2)
Take a fabric sample of
3.5cm x 33cm
Take 30ml of water in the
container
Mount the fabric on the
horizontal clamp and dip
one end of the fabric on
water
Distance travelled by
water and the time taken is
recorded
Cut the fabric samples as
per the tamplet
Place 0.2gm of artificial
sweat inside the container
Insert the sample between
the two sensors in the
machine
Introduce the artificial
sweat on the top surface of
the fabric
Change in electrical
resistance of fabrics is
recorded
Take a fabric sample of
3.5cm x 33cm
Take 30ml of water in
the container
Mount the fabric on the
vertical clamp and dip one
end of the fabric on water
Distance travelled by
water and the time taken is
recorded
20. Moisture management tester indices
• Top wetting time WTt and bottom wetting time WTb
• Top absorption rate (ARt) and bottom absorption rate (ARb)
• Top max wetted radius (MWRt) and bottom max wetted radius
(MWRb)
• Top spreading speed (SSt) and bottom spreading speed (SSb)
• Accumulative one-way transport (AOWT) index (AOTI)
• Overall moisture management capacity (OMMC)
20
21. Concepts in moisture management
• Combinations of hydrophobic and outer
hydrophilic layers
• Micro fibres
• Special fibres
• Wicking windows
21
22. Combinations of hydrophobic and outer
hydrophilic layers
DRI-LEX®
• Developed by Faytex Corp
• Hydrophobic polyester and hydrophilic nylon
• Breathable and quick-drying
22
23. Micro fibres
MERYL MICRO FIBER
• Made- Nylstar, an Italian
company: largest
manufacturers of Nylon
• Nylon micro fibre
• High capacity for moisture
absorption & balances
humidity of ambient air and
body
TREVIRA FINESSE
• Launched -German
company Hoechst High
Chem in 1987
• Polyester micro fiber
• Ideal water transmission
and short drying time
23
24. Special fibres
TRIACTOR
• Toyoba Co Ltd- polyester
filament
• Cross- section is Y-shaped
• A perspiration
absorbing/quick drying
KILLAT N
• Kanebo Ltd
• Bi-component filament yarn
with polyester-core and
nylon- skin portion
• Hollow portion-33% of the
cross section of each
filament
24
25. HYGRA
• Launched- Unitika limited
• A sheath core type filament yarn- water absorbing
polymer and nylon.
• Absorbs 35 times its own weight of water and offer
quick releasing property.
25
26. 26
Wicking WindowsTM
Introduced- Cotton Incorporated, USA
A moisture management technology for cotton-
transfers moisture away from the body, reduces
absorbent capacity for faster drying and reduces fabric
cling.
Discontinuous water repellent treatment on the
surface of the cotton are applied on the side of the
fabric that will worn next to the skin.
Fluropolymers , silicones, waxes etc are used
28. 28
Field Sensor Fabric
High-performance knitted
polyester fabric with a
multilayer structure
Registered trademark of
Toray Industries.
Polartec Power Dry
Fabrics
100% polyester, highly
breathable, and ideal for
base layer for sports fabrics
Manufactured by Maden
mills
29. Lightweight, composite fabric
consisting of a layer of superfine
Merino wool next to the skin and
a layer of tough, easy-care
polyester on the outside
Trade mark- Woolmark Company
29
Lightweight polyester fabric
made with hollow-core
which combines insulation
with moisture wicking
properties
Designed by DuPont
Company
Thermolite Fabric Sportwool fabric
30. 30
Gore-Tex
Fabric used in skiwear, hiking jackets etc.
Durably waterproof
Very breathable
Highly cold resistant
Extremely light
Resistant to flexing
31. 31
Developed by Oel Company in USA
Utilizes phase change materials (PCM) that absorb, store
and release heat and moisture for optimal comfort
Warm condition the Outlast technology will absorb and
store excess heat radiating from the skin to reduce
overheating and help prevent perspiration
Cold condition the stored heat is released, reducing
chilling
Outlast fabric
32. 32
Application of moisture management fabric
Sportswear
Active outer wear
Industrial work wear
Fire fighter apparel and protective clothing
Military apparel
Swim wear
Multi layerMono layer
34. WICKING BEHAVIOUR AND ANTIBACTERIAL PROPERTIES OF
MULTIFUNCTIONAL KNITTED FABRICS MADE FROM METAL
COMMINGLED YARNS
To design a multifunctional commingled yarns
with liquid transporting capacity and antibacterial
activity.
Yu et al. (2014)
Study 1
34
42. A STUDY OF WICKING PROPERTIES OF
COTTON-ACRYLIC YARNS AND KNITTED FABRICS
• To know the wicking behaviour of acrylic fibers and their blends with
cotton
• To know the influence of fiber type and yarn count on wicking of
yarns as well as the influence of yarn wicking on knitted fabric
wicking
Ozturk et al. (2015)
Study 2
42
49. • Acrylic fiber and yarn count- wicking
performance of single jersey knitted fabrics
• Yarn wicking- fabric wicking
• Fabric wicking in the course direction- higher
49
Conclusion
50. ABSORPTION, WICKING AND DRYING CHARACTERISTICS
OF COMPRESSION GARMENTS
• To investigates the comfort characteristics of the compression
garments and the fabrics
Saricam (2015)
Study 3
50
52. 52
Air
• Air Permeability
• TS 391 EN ISO 9237
Water
• Water absorbency
Moisture
• Wicking properties(Course and wale direction)
• Drying behaviour
Standard atmospheric conditions 20±2°C
and 65%±5 relative humidity
53. 53
Result and Discussion
Table 8. The structural properties of the fabric specimens
Fabric
Code
Course
Density
(course / cm)
Wales
density
(wales /cm)
Stitch
density
(stitch /cm2)
Fabric
weight
(g/cm2)
Thickness
(mm)
Air
Permeabili
ty (lt/min)
1 26 16 416 273 0.59 276.67
2 32 16.5 528 279.7 0.65 61.67
3 34 16 544 267.7 0.67 31
4 35 18 630 321.1 0.68 9.67
5 29 16 464 329.1 0.64 342.33
6 33 17 561 347.9 0.69 143.33
7 36 18 648 322.2 0.71 58
8 37 18.5 684.5 341.2 0.74 33.33
54. 54
Figure 11. The relationship between Absorption ratio and Elastane Composition
(a) Fabrics Produced at Lower Tension, (b) Fabric produced with higher tension
55. 55
Fig. 12. Transfer wicking for wet and
dry fabric (a) The amount of water
for wet fabric, (b) The amount of
water for dry fabric.
57. 57
(a)
(b)
Fig. 15. The relation between drying
time, thickness and initial water amount
and the tension (a) Fabrics produced at
Lower Tension, (b) Fabric produced with
higher tension.
58. • Absorption and wicking- related with the
porosity of the fabrics
• Drying- related with the thickness and initial
water content of the fabric.
• Comfort characteristic- changing the tension
and elastane composition
58
Conclusion
60. MOISTURE MANAGEMENT PERFORMANCE OF MULTIFUNCTIONAL
YARNS BASED ON WOOL FIBERS
To develop and optimise the functional yarn based on wool fibers
for different application
To study the liquid transfer behaviour of the developed textile
material
Fangueiro et al.
(2010)
Study 4
60
61. 61
Methodology
Wool (19µ)
Finecool
(2.4 dtex)
Coolmax
(2.4 dtex)
Polyester
(2.4 dtex)
Yarns
Blends
linear density of
20 tex with 630
turns/m of twist
Single jersey
knitted
Vertical
wicking test
Horizontal
wicking test
Drying rate
testing
Fibers
Yarns
Fabrics &
tests
62. 62
Fig. 18. Vertical wicking apparatus
Fig. 17. Horizontal wicking apparatus
Drying rate
Remained water ratio equation
Where,
Dry weight= wf (g)
Wet weight= wo (g)
Change in weight= wi (g)
63. 63
Result and Discussion
Table 9 : Dimensional properties of the knitted fabrics
Fabric
Cover Factor
[K]
Aerial mass
[g/m2]
Density
[(wales x courses)/cm]
Thickness
[mm]
Wool 15.68 155.23 16 x 20 0.68
Polyester 16.86 168.73 14 x 22 0.67
Wool/Polyester
(50:50)
16.28 147.67 14 x 20 0.64
Finecool 16.24 158.91 14 x 21 0.71
Wool/Finecool
(50:50)
15.79 164.11 15 x 19 0.66
Wool/Finecool
(75:25)
17.12 161.53 16 x 19 0.68
Coolmax 16.40 163.49 15 x 19 0.63
Wool/Coolmax
(50:50)
16.18 154.68 14 x 20 0.61
Wool/Coolmax 16.76 160.89 16 x 20 0.71
66. 66
Fig. 21. Drying rate (a) at standard
condition (b) at 33°C temperature
a) Wool
b) Wool + Finecool
67. • Coolmax- best capillary performance
• Wool- Low wicking performance, but good
drying rate
• Finecool- high drying rate
67
Conclusion
68. MOISTURE MANAGEMENT PROPERTIES OF PLATED KNIT
STRUCTURES WITH VARYING FIBER TYPES
• To assess suitability of designed fabrics in providing wearer comfort
for next-to-skin applications
Jhanji et al. (2014)
Study 5
68
71. 71
Result and Discussion
Fig. 21. Microscopic view of plated fabrics (a) and (b) bottom and top of
PES/Co fabric, (c) and (d) bottom and top of PP/Co fabric
77. MOISTURE MANAGEMENT OF UNDERWEAR FABRICS AND LINING
OF FIRE-FIGHTER PROTECTIVE CLOTHING ASSEMBLIES
To know the vapour and liquid transfer properties of various
types of individual fire-fighter UW as well as their bi-layer
combination with linings of fire-fighter intervention jacket.
Petrusic et al. (2014)
Study 6
77
81. 81
Fig. 25. Selected MMT indices of individual UW fabrics: wetting time (a),
maximum wetted radius (b), absorption rate (c), and spreading speed (d)
83. 83
Sam
ple
Wetting
time (s)
Absorption
rate (%/s)
Max wetted
radius (mm)
Spreading
speed (mm/s)
AOWT
(%)
OMMC
Top Bott
om
Top Bott
om
Top Bot
to
m
Top Bott
om
L1 4.10 4.53 50.50 62.48 26 25 4.27 4.05 47.28 0.50
L2 6.46 6.22 8.42 67.14 12.5 12.5 1.43 1.40 687.21 0.69
L3 10.73 9.33 6.47 80.42 10 10 0.74 0.81 759.81 0.70
Table 13. MMT indices of individual L fabrics
85. • Fabric bi-layers (aramid/viscose) -absorption
and wicking abilities
• Management of moisture - affected by
construction variables but less by their
chemical composition
85
Conclusion
86. MOISTURE MANAGEMENT BEHAVIOUR OF KNITTED FABRIC
FROM STRUCTURALLY MODIFIED RING AND VORTEX SPUN
YARN
• To study the moisture transport behaviour by modifying the
structural arrangement in polyester/cotton blended vortex and
ring yarn and fabrics.
Sharma et al. (2015)
Study 7
86
87. 87
Methodology
8-yarns produced from 100% polyester and blends of
cotton/polyester
Single jersey knitted fabrics - circular knitting machine
Scouring - Na2CO3
Vertical Wicking, Air permeability- BS 5636, Total
Absorbency, Water Vapour Permeability- cup method
88. 88
Result and Discussion
Table .14: Properties of yarn
Tex Spinning
system
Samples Sample
code
U % Elongatio
n
(%)
Tenacity
(cN/Tex)
24.6 Ring 100 %PET A 8.20 9.2 24.8
80:20 P/C B 8.34 8.5 24.4
Vortex 100 %PET C 8.86 8.9 22.1
80:20 P/C D 8.66 7.8 23.5
19.7 Ring 100 %PET E 10.8 8.3 25.1
80:20 P/C F 9.23 8.6 18.9
Vortex 100 %PET G 9.58 8.0 22.9
80:20 P/C H 8.52 6.3 15.5
89. 89
Table 15. Wicking in fabrics
Tex Spinnin
g
system
Fabric composition Sam
ple
code
Time (min)
1 5 10 20 30 40 50 60
24.6 Ring 100 %PET A 4.7 8.9 12.1 13.9 15.7 16.8 17.4 18.1
80:20 P/C B 4.3 7.6 10.1 12.6 14.5 15.9 16.6 17.2
80:20 P/C (Treated) B (T) 3.3 6.4 7.5 10.3 10.7 11.8 12.4 13.6
Vortex 100 %PET C 4.1 7.9 10.1 12.6 14.4 15.9 16.3 17.1
80:20 P/C D 3.6 6.9 8.8 11.5 13.6 14.7 15.7 16.2
80:20 P/C (Treated) D (T) 3.2 5.8 7.3 9.5 10.1 10.8 11.4 11.8
19.7 Ring 100 %PET E 5.8 8.9 12.1 14.8 17.1 17.1 18.2 18.9
80:20 P/C F 5.3 8.3 11.4 13.5 15.4 15.4 16.2 17.5
80:20 P/C (Treated) F (T) 2.9 5.4 7.1 8.9 10.4 10.4 10.8 10.9
Vortex 100 %PET G 4.8 7.6 10.8 12.9 15.1 15.1 15.9 17.1
80:20 P/C H 4.1 8.1 9.5 12.2 15.4 15.4 16.2 16.9
80:20 P/C (Treated) H (T) 2.7 5.3 6.7 8.9 10.7 10.7 11.3 11.4
90. 90
Fig. 28. Variation in air permeability of fabrics
100 %PET A
80:20 P/C B
80:20 P/C (Treated) B (T)
100 %PET C
80:20 P/C D
80:20 P/C (Treated) D (T)
100 %PET E
80:20 P/C F
80:20 P/C (Treated) F (T)
100 %PET G
80:20 P/C H
80:20 P/C (Treated) H (T)
91. 91
Fig. 29. Variation in total absorbency of fabrics
Fig. 30. Variation in water vapour permeability of fabrics
100 %PET A
80:20 P/C B
80:20 P/C
(Treated)
B (T)
100 %PET C
80:20 P/C D
80:20 P/C
(Treated)
D (T)
100 %PET E
80:20 P/C F
80:20 P/C
(Treated)
F (T)
100 %PET G
80:20 P/C H
80:20 P/C
(Treated)
H (T)
92. • Structural modification- increase in air
permeability, water vapour transmission and
total absorbency.
• Wicking- declined in the fabric from modified
yarn.
• Vortex yarn- poor wicking and total
absorbency.
92
Conclusion
94. INFLUENCE OF FABRIC STRUCTURE AND FINISHING PATTERN ON
THE THERMAL AND MOISTURE MANAGEMENT PROPERTIES OF
UNIDIRECTIONAL WATER TRANSPORT KNITTED POLYESTER
FABRICS
• To analyze the influence of finishing patterns and fabric structure
parameters on the comfort performance of unidirectional water
transport knitted polyester fabrics
Yang et al., (2018)
Study 8
94
95. 95
Methodology
100% polyester (hydrophilic based) filament (50D)
Double-knit circular knitting machine
Print- Hydrophobic finishing with flat screen
Auxiliary- fluorocarbons (thickening) =0.9%, Rudolf
GmbH=20% , isocyanate (cross linking)= 2 %
8 samples
Air permeability- SO 3801-1977 and EN ISO 5084-2002
Moisture management properties- MMT ASTM D1776-2008
Wicking height –vertical wicking test method
Thermal-physiological properties- sweat guarded hot plate
apparatus
96. 96
Fig. 32. The structure appearance and knitting pattern of the fabric samples
Fig. 31. Hydrophobic printing pattern
97. 97
Result and Discussion
Table 15. The description properties and air permeability of samples
Sampl
e
Numb
er
Finishin
g
pattern
Fabric
structu
re
Weight
(g/m2)15
1
Thickne
ss
(mm)
Wale
density
/cm
Course
density
/cm
Porosit
y
Air
permeab
ility
(L/m2/s)
F1 P1 S1
(RA)
151 0.6066 29/2
0
17/1
7
0.8196 1271.38
F2 P1 S2
(IL)
113 0.4352 24 25 0.8118 614.00
F3 P1 S3
(DT)
123 0.5262 24 16 0.8306 1740.00
F4 P2 S3(D
T)
125 0.5230 25 15 0.8268 1628.00
F5 P2 S2 109 0.4240 21 19 0.8137 915.26
98. 98
Fig. 33. Wicking height versus time of eight samples
F1
F7 & F8
Sampl
e
Numb
er
Finishing
pattern
Fabric
structure
F1 P1 S1 (RA)
F2 P1 S2 (IL)
F3 P1 S3 (DT)
F4 P2 S3(DT)
F5 P2 S2 (IL)
F6 P2 S4 (DTS)
F7 P3 S2 (IL)
F8 P4 S2 (IL)
99. 99
Table 17. Moisture management properties of various fabrics
Sample
Number
Wetting time Maximum wetted radius Accumulative
one-way
transport
capability (%)
Overall
moisture
management
capacity
Top (s) Bottom (s) Top (mm) Bottom (mm)
F1
(P1,S1)
5.16 4.72 19 28 620.73 0.9127
F2
(P1,S2)
6.76 7.14 20 30 526.87 0.9117
F3
(P1,S3)
9.54 11.60 13.75 23.75 603.21 0.6664
F4
(P2,S2)
5.64 5.23 20 25 626.81 0.9224
F5
(P2,S3)
6.52 5.72 20 25 544.88 0.9135
101. • The hydrophobic finishing-
– little effect on the fabric air permeability and the
vapour and thermal resistance
– greater influence on the wicking height and one-
way transport properties
• Fabric structures-
– significant effect on air permeability, wicking
height and thermal-physiological properties
101
Conclusion
102. Moisture management behaviours of high wicking
fabrics composed of profiled Fibres
• To investigate the fibre, yarn and fabric structural
parameters involved in production of high-wicking fabrics
• To measure dynamic liquid transfer in clothing materials
Study 9
102
Gorji & Bagherzadeh
(2015)
103. 103
Methodology
• Coolmax/cotton
• 100% Coolmax staple fibre (linear density 30
NE)
• Coolplus multi microfilament (75 den/ 72
filaments, and 75 denier/48 filaments) with
plus crosssection
• Coolplus multi microfilament (75 den/ 72
filaments, 75 den/48 filaments and 150
denier/ 72 filaments) with five-leaf cross-
section
Yarns
• Moisture management testerTests
104. Fig: 38- Fibre cross-sections (a) 4 channels coolmax cross-section
(100% Coolmax staple yarn), (b) 4 channels coolmax cross-section
(50/50% Coolmax/cotton staple yarn), (c) 5-leafs cross-section of the
monofilaments in Coolplus yarns and (d) plus cross-section of the
monofilaments in Coolplus yarn
104
105. 105
S.
no
.
Sample
code
WT,s AR, %/s MWR,mm SS, mm/s AOWT OMMC
Top Bottom Top Bottom Top Bottom Top Bottom
1 SS1,30Ne 2.27 2.25 35.78 38.88 30 30 8.30 8.23 2.42 0.38
2 SS2,30Ne 17.25 2.70 27.21 45.47 25 25.83 1.86 3.28 357.76 0.70
3 SS3, 75D48F 2.02 2.06 35.48 37.64 30 30 9.21 9.11 26.41 0.41
4 SS3, 75D72F 2.41 2.41 33.45 35.93 25 25 6.12 6.01 10.72 0.39
5 SS4, 75D48F 2.48 2.48 34.25 36.90 22.50 23.75 5.65 5.75 12.14 0.39
6 SS4, 75D72F 2.88 2.86 31.50 33.83 20 20 4.20 4.19 6.24 0.38
7 SS4,
150D72F
2.31 2.34 34.98 37.85 28.75 27.50 7.54 7.40 23.91 0.41
8 SS4,
150D144F
2.37 2.41 28.87 32.58 23.75 23.75 5.65 5.61 39.31 0.41
Table 19 : Properties of filament used to produce commingled yarns
First letter: S- single jersey and D double jersey.
Second letter: S small loop density and L- Large loop density.
First Number: 1- four channel coolmax, 2- coolmax/cotton, 3- pluss cross section and 4- five leaf
cross section. The last part is the yarn count and number of filament.
WT- Wetting time, AR- Absorption rate, SS- Spreading area, OWTC- One way transport capacity,
OMMC-Overall moisture management capacity.
Result and discussion
106. 106
S.
no
.
Sample
code
WT,s AR, %/s MWR,mm SS, mm/s AOWT OMMC
Top Bottom Top Bottom Top Bottom Top Bottom
9 SL1,30Ne 2.30 2.37 33.74 36.42 30 30 7.89 7.72 6.38 0.39
10 SL2,30Ne 27.07 2.02 22.32 40.00 18.75 20 0.96 2.77 527.88 0.73
11 SL3, 75D48F 2.46 2.48 33.66 36.32 22.50 22.50 5.54 5.53 24.05 0.40
12 SL3, 75D72F 2.39 2.39 33.80 36.59 22.50 22.50 6.01 5.95 19.39 0.40
13 SL4, 75D48F 2.32 2.32 34.09 36.26 27.50 27.50 7.53 7.52 9.63 0.39
14 SL4, 75D72F 2.47 2.47 28.87 30.75 22.00 24 7.03 6.42 32.80 0.40
15 SL4,
150D72F
2.48 2.53 34.05 35.90 24.17 23.33 6.09 5.97 25.90 0.41
16 SL4,
150D144F
2.27 2.42 29.10 31.08 28.00 27 6.63 6.17 16.20 0.38
17 DS1, 30Ne 13.55 8.32 26.83 64.77 15.71 15.71 1.22 1.55 593.44 0.70
18 DS2, 30Ne 8.17 25.07 68.26 124.65 8.00 8.00 0.63 0.26 496.63 0.75
Table 20 : Properties of filament used to produce commingled yarns
First letter: S- single jersey and D double jersey.
Second letter: S small loop density and L- Large loop density.
First Number: 1- four channel coolmax, 2- coolmax/cotton, 3- pluss cross section and 4- five leaf
cross section. The last part is the yarn count and number of filament.
WT- Wetting time, AR- Absorption rate, SS- Spreading area, OWTC- One way transport capacity,
OMMC-Overall moisture management capacity.
107. 107
S.
n
o.
Fibre
content
WT,s AR, %/s MWR,mm SS, mm/s AOW
T
OMM
CTop Botto
m
Top Botto
m
Top Botto
m
Top Botto
m
1 Coolmax 2.30 2.33 34.60 43.28 30.00 30.00 7.98 7.88 2.59 0.38
2 Coolmax/
Cotton
21.17 2.42 25.25 37.51 22.50 23.50 1.50 3.08 425.8
1
0.71
Table 21 : Effect of fibre content on MMP results of samples
S.
n
o.
Fibre
content
WT,s AR, %/s MWR,mm SS, mm/s AOW
T
OMM
CTop Botto
m
Top Botto
m
Top Botto
m
Top Botto
m
1 Coolmax 5.09 2.46 32.33 37.92 25.61 25.76 6.02 6.03 79.82 0.45
2 Coolmax/
Cotton
5.29 2.39 31.09 35.11 24.56 24.71 5.81 6.01 78.73 0.43
Table 22 : Effect of loop density on MMP of samples
108. 108
Fig. 34—Water content vs. time for typical fabrics produced with
staple fibre (a) and filament fibre (b)
109. • Moisture management properties- plus cross-
section yarns
• Less monofilaments- better moisture
management
109
Conclusion
111. Reference
111
1. Fangueiro, R., Goncalves, P., Soutinho, F. and Freitas, C., 2010, Moisture management performance
of multifunctional yarns based on wool fibers. Indian J. Fibre Text. Res., 34(2): 315-320.
2. Gorji, M. and Bagherzadeh R., 2015, Moisture management behaviours of high wicking fabrics
composed of profiled Fibres. Indian J. Fibre Text. Res., 41(3): 318-324.
3. Jhanji, Y., Gupta, D. and Kothari, V. K., 2014, Moisture management properties of plated knit
structures with varying fiber types. J. Tex. Institute, 106(6): 663-673.
4. Ozturk, M. K., Nergis, B. and Candan, C., 2015, A study of wicking properties of cotton-acrylic
yarns and knitted fabrics. Text. Res. J., 81(3): 324-328.
5. Petrusic, S., Onofrei, E., Bedek, G., Codau, C., Dupont, D. and Soulat, D., 2014, Moisture
management of underwear fabrics and linings of firefighter protective clothing assemblies. J. Tex.
Institute, 106(12): 1270-1281.
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1078-1085.
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Absorption, transmission and desorption
of the water vapour by the fibres.
Adsorption and migration of the water
vapour along the fibre surface.
nasa
Grooves of suface and wraping density
Quaternary ammonium salt & acid dye
Deutsches institute for normung
3 8
6 9
Elastane- polyurathane- streatchables
Moisture transfer & quick drying- moisture absorbency and capillary action
Wool- highly moisture absorbent- Keratin
Wool absorb- 30% of its own weight water vapour
9 16
10 21
11 25
Intervention jacket-
Outer cell
Moisture barrier
Thermal insulation
Lining
Moisture transform from UW to innermost layer.
L1 thicker
17, 33
19 37
high thickness high t.resistance
Thermal con- ability to transfer heat
High wicking fabrics composed of profiled fibers
Outlast- warm, Coolmax- cold
Coolplus- high wicking, quick dissipating
Loop density, tourisity of stitch increse vacum space and equivalent distnce decrease