study on the fiber diameter of polyactic melt blown nonwoven fabrics
TRANSCRIPT
Study on the Fiber Diameter of Polyactic Melt Blown Nonwoven Fabrics
Lili Wu 1, a, Ting Chen1, 2, b and Jianyong Yu3, c
1College of Textile and Clothing Engineering, Soochow University, Suzhou 215006, China
2National Engineering Laboratory for Modern Silk, Soochow University, Suzhou 215123, China
3College of Textiles, Donghua University, Shanghai 201620, China
[email protected], [email protected], cCorresponding author, [email protected]
Keywords: polyactic; melt blown; nonwoven fabrics; fiber diameter.
Abstract. Polyactic fibers have superior biodegradability, moisture absorption, resiliency and
processibility and can be used in various fields especially in blood filtration. Polyactic can be melt
blown into nonwoven fabrics. To predict the fiber diameter of the polyactic melt blown nonwoven
fabric, the air drawing model of polyactic was established. The predicted fiber diameter tallies well
with the measured fiber diameter. Computer simulations of the effects of the processing parameters
on the fiber diameter were performed with the help of the air drawing model. The simulation results
show that smaller polymer flow rate, larger initial air velocity and larger die-to-collector distance
can all produce finer fibers while too large initial air velocity and too large die-to-collector distance
contribute little to the air drawing of polyactic melts.
Introduction
In the melt blowing nonwoven process, polymer melts are drawn into microfibers by the air jets
with high velocity and high temperature. The polymer air drawing model for the melt blowing
process has been established in our previous research [1], which has shown that the predicted fiber
diameter of melt blown nonwoven fabrics tallies well with the measured fiber diameter with special
reference to polypropylene [1]. Besides polypropylene, many kinds of polymers can be
manufactured into nonwoven fabrics via the melt blowing process. For example, polyactic is mainly
made of corn and can be melting blown into nonwoven fabrics. Polyactic fibers have superior
biodegradability, moisture absorption, resiliency and processibility and can be used in various fields
especially in blood filtration. However, the flow behavior of polyactic is quite different from that of
polypropylene. Is our air drawing model able to predict the fiber diameter of polyactic melt blown
nonwoven fabrics? In this paper, the air drawing model of polyactic melt blown nonwoven fabrics
was established. And the predicted fiber diameter was compared with the measured fiber diameter.
Effects of some processing parameters were also simulated using the model.
Air Drawing Model of Polyactic
There are continuity equation, momentum equation, energy equation and constitutive equation in
the air drawing model of polyactic. The air jet flow field of the dual slot die is simulated
numerically and the air velocity and air temperature could be obtained [1].
Continuity equation:
ρπ
uDG 2
4= . (1)
where G is the polymer flow rate, D is fiber diameter, u is the fiber velocity and ρ is the polymer
Advanced Materials Research Vols. 175-176 (2011) pp 580-584Online available since 2011/Jan/20 at www.scientific.net© (2011) Trans Tech Publications, Switzerlanddoi:10.4028/www.scientific.net/AMR.175-176.580
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density. The polymer density of polyactic is 1.29 g/cm3.
Momentum equation:
gDuuDCjx
uG
x
Faaf
r ρπ
ρπ 22
4)(
2
1
d
d
d
d−−+= . (2)
where Fr is the rheological force, ρa is the air density, x is the axial position, ua is the x-component
of air velocity, Cf is the air drawing coefficient and g is the gravitational acceleration.
A sign flag, j, is defined, j is – 1 when ua > u and 1 when ua < u. It means that, near the
spinneret, the airflow acts a positive (downward) force on the polymer, but on the far side of the
spinneret the force is negative.
The rheological force is
( )yyxxr DF ττ
π−= 2
4. (3)
where τxx is the axial tensile stress of polymer, τyy is the transversal tensile stress of polymer.
The air drawing coefficient Cf was given by Matsui with the following correlation [2]
n
f ReC −⋅= β . (4)
where β, n are constants of Matsui’s correlation and Re is the Reynolds number.
The Reynolds number is defined by
a
a uuDRe
υ−
= . (5)
where υa is the air kinematic viscosity.
Majumdar and Shambaugh [3] found that β = 0.78 and n = 0.61 are appropriate for the use in Eq.
4. These values were used in our computations.
Energy equation:
( )p
ap
GC
Dh
x
θθπθ −−=
d
d . (6)
where Cp is the specific heat capacity at constant pressure of polymer, hp is the heat transfer
coefficient and θa is the air temperature. The specific heat capacity at constant pressure of
polyactic is 1.05 cal/(g ·°C).
A value for the heat transfer coefficient can be calculated from the following relation:
kReNu ⋅= γ . (7)
where Nu is the Nusselt number, γ, k are constants of this correlation. The assumed values of γ and k are 0.42 and 0.334, respectively
[4].
Constitutive equation:
As the polymer melt of polyactic is a kind of non-Newtonian fluid, the constitutive equation of
power-law fluid is introduced:
m
xxx
u
=d
d2ητ . (8)
Advanced Materials Research Vols. 175-176 581
m
yyx
u
−=d
dητ (9)
where η is the shear viscosity and m is the power-law exponent. The power-law exponent m of
polyactic is 0.32, which differs from m of 0.78 in our previous study on the polypropylene [1].
We defined the ‘freezing point’ boundary condition as the point where the rheological force
equaled the sum of the gravitational force and air drawing force acting upon the frozen part of the
polymer. Beyond this point, the fiber diameter remained constant until the fiber was laid on a
collection screen.
Experiments and Results
Experiments were performed on the melt blowing nonwoven equipment with a dual slot die. The
equipment parameters of the dual slot die were as follows: die width h = 0.7 mm, die length l = 200
mm, slot width e = 0.2 mm, head width f = 0.5 mm, angle between the slot and spinneret axis α =
30°, and spinneret diameter c = 0.3 mm. The initial air temperature was 220 °C and 320 °C,
respectively [5]. The polymer used was 12 MFI polyactic. Table 1 shows the experimental program
and results.
Several processing parameters were changed to study their effects on the fiber diameter. The
processing parameters changed were the polymer flow rate, initial air velocity and die-to-collector
distance. The image analysis method was utilized to measure the fiber diameter. The images of
nonwoven samples were acquired by the QUESTER three-dimensional video frequency microscope
with the enlargement factor of 600 and depth of focus of 1 mm and then processed by the image
analysis software named Image-Pro Plus to measure the fiber diameter. The image processing
included enhancement, smoothing, binary and filtering. The mean value of the diameters of two
hundred fibers was considered as the fiber diameter of the nonwoven sample.
Table 1 Experimental program and results
No
Polymer
flow
rate
(g/s)
Initial
polymer
temperature
(°C)
Initial
air
velocity
(m/s)
Initial air
temperature
(°C)
Die-to-
collector
distance
(mm)
Measured
fiber
diameter
(µm)
Predicted
fiber
diameter
(µm)
Error
(%)
1 0.510 220 247 320 90 3.70 3.46 6.49
2 0.510 220 260 320 100 3.20 2.97 7.19
3 0.510 220 273 320 110 2.71 2.53 6.64
4 0.538 220 260 320 90 4.13 3.82 7.51
5 0.538 220 273 320 100 3.83 3.51 8.36
6 0.538 220 247 320 110 4.21 3.96 5.94
7 0.567 220 273 320 90 5.09 4.65 8.64
8 0.567 220 247 320 100 6.07 5.73 5.60
9 0.567 220 260 320 110 5.83 5.41 7.20
Mean 7.06
The measured fiber diameters, predicted fiber diameters and prediction errors are shown in Table
1. From Table 1, it can be seen that the predicted fiber diameters tally well with the experimental
582 Silk
data. The mean prediction error is 7.06% and the maximum is only 8.64%. Because the melt
blowing process was very complicated and had many influencing factors with random pulsations,
such prediction errors as smaller than 10% can be tolerable as far as predictions of this kind of
complicated processing problems were concerned. The small prediction errors confirmed that the
air drawing model of polyactic established in this paper was effective. It can also be found that all
the predicted diameters were smaller than the measured diameters, which implied that there was a
systematic error and the model should be improved by considering more factors.
0.45 0.50 0.55 0.60 0.652.0
2.5
3.0
3.5
4.0
4.5
5.0
5.5
6.0
F
iber
dia
met
er (µm
)
Polymer flow rate (g/s)
Fig. 1 Effect of the polymer flow rate on fiber diameter
With the help of the air drawing model, effects of the processing parameters on the fiber
diameter were simulated. Fig. 1 shows the effect of the polymer flow rate on the fiber diameter. It
can be found that reducing the polymer flow rate gave a finer fiber diameter. For the conditions in
Fig. 1, the fiber diameter for G = 0.510 g/s was 23% smaller than the final fiber diameter for the
high polymer flow rate (G = 0.567 g/s).
220 240 260 280 300 3202.0
2.5
3.0
3.5
4.0
4.5
5.0
5.5
6.0
Fib
er d
iam
eter
(µm
)
Initial air velocity (m/s)
Fig. 2 Effect of the initial air velocity on fiber diameter
Fig. 2 gives the effect of the initial air velocity on the fiber diameter. As can be seen, the larger
the initial air velocities, the finer the fibers will be. It also shows that the fiber diameter decays less
rapidly when the initial air velocity increases over 290 m/s, which can be concluded that too large
initial air velocity contributes little to the polymer drawing as far as the polymer melt of polyactic is
concerned. The result gave us valuable insights on reducing the energy consumption of melt
blowing processing of polyactic.
Advanced Materials Research Vols. 175-176 583
70 80 90 100 110 120 130 1402.0
2.5
3.0
3.5
4.0
4.5
5.0
5.5
6.0
Fib
er d
iam
eter
(µm
)
Die-to-collector distance (mm)
Fig. 3 Effect of the die-to-collector distance on fiber diameter
Fig. 3 illustrates how changes in die-to-collector distance cause changes in the rate of fiber
attenuation. It could be observed that the larger distance would cause the fibers to be attenuated
much higher. When the distance increased to 120 mm, the final fiber diameter was 12% smaller
than that of the distance 90 mm. It also could be noted that the fiber diameter only decreased
slightly when the die-to-collector distance was larger than 120 mm as far as this research was
concerned. The reason might be the polymer drawing procedure completed within a certain distance,
and the fiber diameter would not change even when the die-to-collector distance still increased.
Summary
The air drawing model of polyactic in the melt blowing nonwoven process was established. The
predicted fiber diameter tallied well with the measured fiber diameter. Effects of the processing
parameters on the fiber diameter were simulated with the help of the air drawing model. The
simulation results showed that smaller polymer flow rate, larger initial air velocity and larger
die-to-collector distance can all produce finer fibers while too large initial air velocity and too large
die-to-collector distance contributed little to the air drawing of polyactic melts.
Acknowledgements
Financial support for this work was provided by the National Natural Science Foundation of China
(51076110), Foundation for the Author of National Excellent Doctoral Dissertation of China
(200761), Fok Ying Tung Education Foundation for University Youngsters (111076), and Natural
Science Foundation of Jiangsu province (BK2009123).
References
[1] T. Chen and X. Huang: Modelling Simul. Mater. Sci. Eng. Vol. 12 (2004), p. 381
[2] M. Matsui: Trans. Soc. Rheol. Vol. 20 (1976), p. 465
[3] B. Majumdar and R.L. Shambaugh: J. Rheol. Vol. 34 (1990), p. 591
[4] V. Bansal and R.L. Shambaugh: Ind. Eng. Chem. Res. Vol. 37 (1998), p. 1799
[5] X.Zhao: Study on the Meltblown Process of Biodegradable PLA. Master Thesis, Donghua
University, Shanghai (2005), p. 40
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Silk 10.4028/www.scientific.net/AMR.175-176 Study on the Fiber Diameter of Polyactic Melt Blown Nonwoven Fabrics 10.4028/www.scientific.net/AMR.175-176.580
DOI References
[2] M. Matsui: Trans. Soc. Rheol. Vol. 20 (1976), p. 465
doi:10.1122/1.549434 [3] B. Majumdar and R.L. Shambaugh: J. Rheol. Vol. 34 (1990), p. 591
doi:10.1122/1.550097 [4] V. Bansal and R.L. Shambaugh: Ind. Eng. Chem. Res. Vol. 37 (1998), p. 1799
doi:10.1021/ie9709042