Abstract
This paper presented a self-made spherical section free surface electrospinning
(SSFSE) using solution reservoirs with different depths for obtaining high-throughput
production of nanofibers , and studied its preparation mechanism . The effects of the
solution reservoir depth on the SSFSE process a s well as the quality and yield of
polyacrylonitrile (PAN) nanofibers were investigated experimentally using high-speed
camera, precise electronic balance and scanning electron microscopy, and were
analyzed th eoretically by response surface methodology (RSM) and numerical
simulation. The values predicted by the established RSM model and the electric field
simulation results obtained by Maxwell 3D were all consistent with the experimental
data, which showed that the solution reservoir depth had little effects on the quality of
PAN nanofibers, but had great effects on the yields of them. When the maximum depth
of solution reservoir was 4.29 mm, the PAN nanofibers prepared have the best quality
and the highest yields.
Keywords
Free surface electrospinning ; Nanofibers; High-throughput production;
Response surface methodology; Electric field simulation
1. Introduction
Due to their characteristics of high specific surface area and aspect ratio, nanofibers
are widely used in tissue engineering [1, 2], filtration [3], wound dressings [4], sound-
absorbing materials [5], food preservation [6] and so on. At present, the technologies
for preparing nanofibers ha ve self-assembly [7], phase separation [2], electrospinning
(ES) [8-11], and so on. ES is one of the easiest ways to prepare nanofibers continuously.
With the increasing demand for nanofibers, more and more attention has been paid to
the high-throughput production of nanofibers. However, the yield of traditional single-
needle ES (0.01-1g/h) is too low, which limits its commercial application [12-14].
Multi-needle ES is considered as an effective method to increase the yield of nanofibers,
but it has some disadvantages, such as complicated design and potential clogging [14,
15]. Therefore, needleless ES (NES) is presented to overcome the disadvantages of
multi-needle electrospinning and realize the high-throughput preparation of nanofibers
[16]. NES usually means that the free surface of the spinning solution is subjected to
2
fluctuations under the action of a high electric field, overcoming the surface tension of
the solution, forming many jets and then stretching into nanofibers [17]. In recent years
many types of needleless ES have been proposed for mass production of nanofibers ,
such as rotating shaft ES [18], free surface electrospinning (FSE) [19], bubble ES (BE)
[20], and so on [21].
In our previous researches [4, 22-26], a series of self-made NES devices for mass
production of nanofibers have been developed and applied, such as modified MBE [22-
24], sloping FSE (SFSE) [4], oblique section FSE (OSFSE) [25], spherical section FSE
(SSFSE) [26]. According to these researches it was found that SSFSE was the optimal
NES device for preparing nanofibers with the highest quality and yield. On this basis,
the SSFSE with a replaceable solution reservoir was designed to obtain high-throughput
production of nanofibers, as shown in Fig.1, and the influence of the solution reservoir
radius on the spinning effects of SSFSE was studied, which indicated the SSFSE device
using the solution reservoir with a radius of 25mm could provide the highest quality
and yield of nanofibers [26].
Figure 1: Schematic of the SSFSE device with a replaceable solution reservoir
In this paper, the influences of the solution reservoir depth on the spinning effects of
SSFSE were investigated experimentally by a combination of high -speed camera,
precise electronic ba lance and scanning electron microscopy . Response surface
methodology (RSM) involving central composite design (CCD) was applied to model
and optimize the SSFSE process for evaluating the influence of spinning parameters on
the yield of polyacrylonitrile (PAN) nanofibers. And the preparation mechanism of the
SSFSE device was studied by simulating the electric field distribution in the spinning
process using Maxwell 3D. The RSM predicted values and the electric field simulation
Results
were all consistent wit h the experimental data, which showed that the SSFSE
device with different solution reservoir could produce nanofibers with higher quality
and yield, and the solution reservoir depth had great effects on the yields of them. When
the maximum depth of solution reservoir was 4.29 mm, the highest quality and yield of
PAN nanofibers were fabricated.
2. Materials and methods
2.1. Materials
3
Polyacrylonitrile (PAN, Mw = 15w) was obtained from Beijing Lark Branch Co.,
Ltd. (Beijing, China). Sodium dodecylbenzene sulfonate (SDBS) was purchased from
Sinopharm Chemical Reagent Co. Ltd. (Shanghai, China) . N, N-dimethylformamide
(DMF) was supplied from Shanghai Chemical Reagent Co., Ltd. (Shanghai, China).
For obtaining the spinning solutions, 10% PAN and 1% SDBS were dissolved in DMF
under magnetic stirring at 60°C for 4h to get transparent liquid using a thermostatic
magnetic stirrer (DF-101S, Xinrui Instrument Factory, Changzhou, China).
2.2. Apparatus
The replaceable solution reservoir of the SSFSE is made of a copper cylinder with a
height of 40mm and a diameter of 50mm. There are five solution reservoirs with
different maximum depths, which are obtained by truncating the copper cylinder using
spheres with a radius of 45 mm, 55 mm, 65 mm, 75 mm and 85 mm respectively, as
illustrated in Fig. 2. And the maximum depths (h), the areas of spherical section (S) and
the solution storage volumes (V) of the five solution reservoirs are calculated according
to the different sphere radii (R), as shown in Table 1.
Figure 2: Schematic diagram of the SSFSE solution reservoir truncated by a sphere.
(a) is the 3D schematic diagram. (b) indicates the sphere which truncate the solution
reservoir. (c) is the longitudinal cross-section view
Table 1 The maximum depth (h), the area of spherical section (S), the solution storage
volume(V) of the solution reservoir obtained by different sphere radii
R(mm) h (mm) S (mm2) V (mm3)
45 7.58 2143.08 7673.36
55 6.01 2075.92 6010.73
65 5 2041 4974.19
75 4.29 2020.27 4250.08
85 3.76 2006.88 3718.82
2.3. Self-made SSFSE processes
According to the reference [26], the SSFSE parameters were set as follows: the room
temperature was 20℃, the relative humidity was 70%, the receiving area was 200 mm
× 200 mm, the receiving distance was 180 mm, and the applied voltages were 35 kV,
40 kV and 45 kV. The spinning processes of the SSFSE solution reservoirs with
different depths were investigated by a high -speed camera (VRI Phantom -VEO-L,
Ametek, California, USA), and the initial voltage s of t hem were determined
4
respectively, as shown in Fig.3. It could be seen that as the solution reservoir depth
increased the initial voltage increased, due to the point discharge at the top edge of the
reservoirs. And with the increase of the applied voltage, the number of jets on the
solution surface increased gradually. However, when the applied voltage was too high
(45 kV), the jets became unstable and uneven. In addition, the decrease of the solution
reservoir depth also enhanced the number of jets on the solution surface because of the
higher electric field intensity and more uniform electric field distribution . The
experiment results would be verified by simulating the electric field distribution in the
SSFSE processes.
Initial voltage 25kV 35kV 40kV 45kV
(a) SSFSE solution reservoir with a maximum depth of 7.58 mm
Initial voltage 26kV 35kV 40kV 45kV
(b) SSFSE solution reservoir with a maximum depth of 6.01 mm
Initial voltage 28kV 35kV 40kV 45kV
(c) SSFSE solution reservoir with a maximum depth of 5 mm
Initial voltage 30kV 35kV 40kV 45kV
(d) SSFSE solution reservoir with a maximum depth of 4.29 mm
Initial voltage 32kV 35kV 40kV 45kV
(e) SSFSE solution reservoir with a maximum depth of 3.76 mm
5
Figure 3: Pictures of SSFSE processes of the solution reservoirs with different depths
at different voltages
2.4. Characterization
2.4.1. Yield of nanofibers
The masses of PAN nanofibers prepared after spinning for 30 min were measured by
a precise electronic balance (XJ120A, P recisa, Shanghai, China), and each of the
measurements was repeated five times to obtain the average value. Due to the same
area of spinning surface, the calculation method of yield is as follows:
𝑊 = (𝑊1 − 𝑊0) 𝑡⁄ (1)
where W is the yield of nanofibers, W0 and W1 are the masses of the aluminum foils
before and after spinning respectively, and t is the spinning time.
2.4.2. Morphology of nanofibers
The scanning electron microscopy (SEM, Hitachi S4800, Hitachi, Tokyo, Japan) was
used to investigate the morphology of PAN nanofibers. And 10 SEM pictures and 100
nanofibers at random in each SEM picture of every sample were used to analyze the
diameter distribution of nanofibers by Image J software (National Institute of Mental
Health, Bethesda, MD, USA).
2.4.3. Response surface method and design of experiments
The r esponse surface method (RSM) can be applied to optimize and design
experiments, which has the advantages of fewer experiments, higher accuracy and
better predictable performance. Central composite design (CCD) as a standard RSM
design can be used for modeling, analysis and optimization of electrospinning [26].
Because the solution reservoir depth was determined by the radius of a sphere that
truncated the reservoir, two factors were two SSFSE parameters: the sphere radius and
applied voltage, and the response was the yield of PAN nanofibers. The two factors and
factor levels were exhibited in Table 2. Based on CCD, an approximate mathematical
relationship between the response and the two factors (A: Sphere radius and B: voltage)
could be established by the following quadratic polynomial model [27, 28]:
Y = βo + β1A + β2B + β3A2 + β4B2 + β5AB (2)
where Y is the value of the yield of nanofibers, A is the value of the sphere radius, B is
the value of the applied voltage, β0, β1, β2, β3, β4 and β5 are undetermined coefficients
which can be estimated by experimental data.
The probability value (P-value) is presented to investigate the statistical significance
of factors. P-values lower than 0.05 are considered as statistically meaningful values,
which illustrate the factors have significant effects on the response [29]. R-squared (R2)
is a n important indicator to indicate the statistical significance of the model , which
determines how well the model agrees with the experimental results.
Table 2 The factors and factor levels for experimental design
Factors Factors levels
A: Sphere radius (mm) 45, 55, 65, 75, 85
B: Applied voltage (kV) 35, 40, 45
2.4.4. Simulation of the electric field
The electric field distributions from the solution reservoir to the collector in the
SSFSE processes with solution reservoirs of different depths were simulated using
Maxwell 3D. The electric field simulations for these SSFSE processes were performed
by the following experimental parameters: the copper reservoirs as positive poles were
cylinders with a diameter of 50 mm and a height of 40 mm, which were truncated by
spheres with a radius of 45mm, 55mm, 65mm, 75mm and 85mm, respectively , t he
6
electric conductivity of copper was 5.8 × 10 11 μs/cm, the electric conductivity of PAN
solution was 2372 μs/cm, the applied voltage was 40 kV , and the distance from the
solution surface to the collector was 180 mm.
3. Result and discussion
3.1. Yield of PAN nanofibers
Fig.4 illustrated the yields of PAN nanofibers fabricated by the different SSFSE
devices at the different applied voltage. It could be found that with the increase of the
voltage the yield of PAN nanofibers obtained by the same SSFSE device increased, and
with the decrease of the solution reservoir depth the yield of nanofibers first increased
and then decreased at the same voltage. When the maximum depth of the solution
reservoir was 3.76 mm at the applied voltages of 40 kV and 45 kV , the yields of
nanofibers were all lower than those when the maximum depth of the solution reservoir
was 4.29 mm. This was because lots of jets were unstable and spread outward due to
too high electric field intensity, as indicated in Fig.3 (e). These outward expanding jets
and too high spinning speed made it difficult for nanofibers to be collected on the
collector, leading to the decrease of the yield of nanofibers. When the applied voltage
was 45 kV and the maximum depth of the solution reservoir was 4.29 mm, the yield of
nanofibers reached a maximum of 27.34 g/h. The experiment results agreed with the
observed phenomena by a high-speed camera, which would be confirmed by RSM and
electric field simulation analysis . In addition, it was noticed that when the maximum
depths of the solution reservoirs were 5 mm, 4.29 mm and 3.76 mm , the yield s of
nanofibers prepared at 40 kV were similar to those at 45 kV. Considering the stability
of the spinning process, the effect of the solution reservoir depth on the morphology of
PAN nanofibers prepared at 40 kV would be investigated.
Figure 4: Yield of PAN nanofibers prepared by different SSFSE solution reservoirs at
different voltages
3.2. Morphology of nanofibers
Fig.5 showed the morphology of PAN nanofibers prepared by five SSFSE solution
reservoirs with different depths at the voltage of 40 kV and the corresponding nanofiber
diameter distributions. Meanwhile, the average diameters and co nfidence intervals of
these nanofibers were indicated in Fig.5 (a-2,b-2,c-2,d-2,e-2). It could be seen that these
PAN nanofibers were of good quality due to the good spinning effects of these SSFSE
7
processes with five solution reservoirs of different depths. But as the solution reservoir
depth decreased, the average diameter of the prepared PAN nanofibers first increased
and then decreased , and the uniformity of their diameter distributions all increased.
When the maximum depth of the solution reservoir was 7.58 mm, the average diameter
of the prepared nanofibers was smaller, but its diameter distributions was the most
nonuniform due to the tip discharge generated by the sharpest top edge of the reservoir.
When the maximum depth of the solution reservoir was 3.76 mm, the average diameter
of nanofibers was the largest and its diameter distribution was mo st uniform because
too fast spinning speed made the jet not fully stretched due to the smallest reservoir
depth and the weakening of the tip discharge phenomenon. When the maximum depth
of the solution reservoir was 4.29 mm, the average diameter of nanofibers was
minimum and its diameter distribution was more uniform.
(a) SSFSE solution reservoir with a maximum depth of 7.58 mm
(b) SSFSE solution reservoir with a maximum depth of 6.01 mm
(c) SSFSE solution reservoir with a maximum depth of 5 mm
a-1
b-1
c-1
a-2
b-2
c-2
8
(d) SSFSE solution reservoir with a maximum depth of 4.29 mm
(e) SSFSE solution reservoir with a maximum depth of 3.76 mm
Figure 5: SEM pictures and the corresponding diameter distributions of PAN nanofiber
prepared by the SSFSE solutions reservoirs with different depths
3.3. Response function
The effects of different sphere radius (A) and applied voltage ( B) on the yield of
PAN nanofibers were studied using the CCD technique. The 15 groups of experiments
designed by the CCD method were shown in Table 3.
Table 3 Experimental design and response.
Run Factors (actual values) Response (actual values)
A: Sphere radius (mm) B: Voltage (kV) Yield (g/h)
1 45 35 7.494
2 45 40 8.225
3 45 45 13.77
4 55 35 9.12
5 55 40 12.72
6 55 45 18.55
7 65 35 9.82
8 65 40 21.205
9 65 45 21.765
10 75 35 13.1775
11 75 40 26.80
12 75 45 27.34
13 85 35 15.808
14 85 40 25.91
15 85 45 26.96
To obtain a quadratic polynomial equation and statistical analysis of the acquired
data, the analysis of variance (ANOVA) was performed according to Eq. (2), and P -
d-1
e-1
d-2
e-2
9
values and R2 were determined [28], which were listed in Table 4. It indicated P-values
for the model and terms (A and B) were less than 0.05, which demonstrated the model
and the two terms had significant influence on the response ( the yield of nanofibers ).
R2 was 0.9208, which showed that the predicted value of the model agreed with the
actual value. Therefore, the quadratic response surface model for the yield of nanofibers
could be expressed as the following equation:
Y = 19.78 + 7.02A + 5.30B + 1.45A2 − 1.61B2 − 2.59AB (3)
According to Eq. (3), the predicted yields of nanofibers were plotted, as shown in
Fig. 6. The actual values of yields of nanofibers were distributed along the predicted
curve, which indicated the predicted values were in agreement with the experimental
data, illustrating that the model was suitable for the experimental data.
Table 4 ANOVA for the quadratic regression model.
Source Sum of
squares
Degree of
freedom
Mean
square F-value p-value Status
Model 689.90 5 137.98 20.93 0.0001 Significant
A-Radius 369..66 1 369.66 56.07 <0.0001 Significant
B-Voltage 280.51 1 280.51 42.55 0.0001 Significant
AB 10.49 1 10.49 1.59 0.2388 not Significant
A2 6.84 1 6.84 1.04 0.3349 not Significant
B2 22.39 1 22.39 3.40 0.0984 not Significant
Residual 59.33 9 6.59 - - -
Total 749.23 14 - - - -
R2 0.9208 - - - - -
Figure 6: Predicted yields versus actual yields of electrospun PAN nanofibers
The relationship between the response and the factors can be visualized by the
contour and three-dimensional response surface plots. Fig. 7 exhibited the contour and
three-dimensional response surface plots of the yield of PAN nanofibers as a function
of sphere radius and applied voltage. It was obvious that when the sphere radius
remained constant, the yield of nanofibers increased with the increase of the voltage .
And when the applied voltage kept constant, the yield of nanofibers increased first and
then decreased with the increase of the sphere radius.
10
Figure 7: Contour (a) and three-dimensional (b) response surface plots of yield of
PAN nanofiber as a function of sphere radius and applied voltage
3.4. Simulating electric field
In order to study the preparation mechanism of the SSFSE device, Maxwell 3D was
used to simulate the electric field distributions in the SSFSE processes with solution
reservoirs of different depths, as shown in Fig. 8. More uniform electric field
distribution can help to produce finer and more uniform fiber [29]. Fig. 8 (a-1, b-1, c-
1, d-1, e-1) represented the scalar plots of two -dimensional center section of the 3D
electric field simulations in these SSFSE processes and the according local magnified
view of the reservoir top edge. It could be seen that the maximum electric field
intensities all distributed at the top edge of the copper reservoir, making it easier to
produce jets. Fig.8 (a-3, b-3, c-3, d-3, e-3) showed the vector plots of the corresponding
electric field simulations in the same areas . It was found that the directions of the
electric fields were oriented directly towards to the collector due to the cylindrical
symmetry of the solution reservoir and the cancellation of the vertical field components,
causing the jets to be subjected to the upward electric field force. Fig. 8 (a-2, b-2, c-2,
d-2, e-2) and Fig. 8 (a-4, b-4, c-4, d-4, e-4) exhibited the electric field distributions in
the axial (0 -180mm) direction and radial (0 -100mm) direction on the upper surface
center of the five SSFSE reservoirs, respectively . It illustrated that the electric field
intensities in the axial direction decreased as the distance from the solution surface
increased, and the electric field intensities in the radial direction first increased sharply,
reached the maximum value at the top edge of the reservoir because of the electron
transition from the solution to the copper, and then dropped sharply due to the electron
transition from the copper to the air.
11
(a) SSFSE solution reservoir with a maximum depth of 7.58 mm
(b) SSFSE solution reservoir with a maximum depth of 6.01 mm
12
(c) SSFSE solution reservoir with a maximum depth of 5 mm
(d) SSFSE solution reservoir with a maximum depth of 4.29 mm
13
(e) SSFSE solution reservoir with a maximum depth of 3.76 mm
Figure 8: Simulation of the electric field distributions in five SSFSE devices with
solution reservoirs of different depths at 40kV
To further compare the uniformity of electric field distributions of these five SSFSE
processes, a parameter ƒ is introduced, which is calculated by the following formula
[25]. The smaller its value, the more uniform the electric field distribution [25].
ƒ =
𝐸max
𝐸av
(4)
where Emax is the maximum electric field intensity and Eav is the average electric field
intensity.
The calculated values of Emax, Eav and f in the radial (0 -20 mm more than the
corresponding radius) and axial (0-180 mm) directions of these five SSFSE processes
were displayed in Table 5, respectively. It could be seen that as the solution reservoir
depth decreased the values of Emax and f in the radial directions all decreased, but the
values of Eav in the radial directions as well as the values of Emax, Eav and f in the axial
directions all increased. When the maximum depth of the solution reservoir was 7.58
mm, the values of Emax, Eav and f in the axial direction as well as Eav in the radial
direction were all minimum because of the deepest reservoir depth, but the values of
Emax and f in the radial direction were maximum due to the tip discharge generated by
the sharpest top edge of the reservoir , leading to the most non -uniform electric field
distribution and relatively few jets produced, as indicated in Fig. 3 (a). When the
maximum depth of the solution reservoir was 4.29 mm, the values of f in the axial and
radial directions were relatively small er and the value of Eav was higher, which
demonstrated the electric field distribution was more uniform and the electric field
intensities were higher, leading to lots of uniform and stable jets produced from the
solution surface, as exhibited in Fig. 3 (d), as well as the nanof ibers obtained with
highest quality and yield, as shown in Fig. 5 (d) and Fig. 4. When the maximum depth
of the solution reservoir was 3.76 mm, due to the smallest reservoir depth, the values
of Emax, Eav and f in the axial direction as well as Eav in the radial direction were all
maximum, but the values of Emax and f in the radial direction were minimum, which
meant the electric field had the highest average intensity and the most uniform
distribution. This led to the formation of unstable and outward expanding jets as well
as too fast spinning speed , as illustrated in Fig. 3 (e), which made it difficult for
nanofibers to be fully stretched and collected, resulting in the nanofibers prepared with
the largest diameter and lower yield, as indicated in Fig. 5 (e) and Fig. 4. The analysis
14
Results
of the electric field distributions were consistent with the experimental results,
as shown in Fig.3, Fig. 4 and Fig. 5.
Table 5 The calculated values of Emax, Eav and f on the radial (0-20mm more than the
corresponding radius) and the axial (0-180mm) directions of these five SSFSE
processes.
h
(mm)
Emax (V/m) Eav (V/m) f
Radial Axial Radial Axial Radial Axial
7.58 2.51×106 4.25×105 5.86×105 2.07×105 4.28 2.05
6.01 2.28×106 4.43×105 5.97×105 2.10×105 3.77 2.11
5 2.24×106 4.64×105 6.04×105 2.12×105 3.75 2.19
4.29 2.06×106 4.62×105 6.08×105 2.13×105 3.39 2.17
3.76 2.00×106 4.81×105 6.12×105 2.14×105 3.27 2.25
4. Conclusion
In this paper, the effects of the solution reservoir depth on the SSFSE process as well
as the quality and yield of PAN nanofibers were investigated experimentally and
analyzed theoretically. The SSFSE process was observed by a high-speed camera, the
morphology and the y ield of PAN nanofibers obtained using the SSFSE were
determined by a scanning electron microscopy (SEM) and a precise electronic balance,
respectively. According to the experimental data, a RSM model was established to
optimize the SSFSE process and evaluate the effect of the solution reservoir depth and
the applied voltage on the yield of nanofibers. The values predicted by RSM indicated
that the solution reservoir depth and the applied voltage all had great influences on the
yield of nanofibers, which were consistent with the experimental results. Furthermore,
the numerical simulation of the electric field distribution by Maxwell 3D in the SSFSE
process demonstrated the preparation mechanism of SSFSE, which illustrated that PAN
nanofibers with the highest quality and yield c ould be obtained by the SSFSE device
using a solution reservoir with a maximum depth of 4.29 mm due to its higher average
electric field intensity and more uniform electric field distribution. The simulation
Results
were verified by experimental data.
Acknowledgments
The work is supported financially by National Natural Science Foundation of China
(Grant No. 11672198), Jiangsu Higher Education Institutions of China (Grant No.
20KJA130001), Six Talent Peaks Project of Jiangsu Province (Grant No.GDZB -050),
Science and Technology Guiding Project of China National Textile and Apparel
Council (2020013), and PAPD (A Project Funded by the Priority Academic Program
Development of Jiangsu Higher Education Institutions).
References
1. Huerta, R. R.; Silva, E. K.; El-Bialy, T. Saldaña M. D. A.; Ultrason Sonochem.
2019.
2. Kang, J.; Hwang, J. Y.; Huh, M.; Yun, S. I. Macromol. Res. 2020.
15
3. Avci, H.; Akkulak, E.; Gergeroglu, H.; Ghorbanpoor, H.; Uysal, O.; Sariboyaci,
A.E.; Demir, B.; Soykan, M . N.; Pat, S .; Mohammadigharehbagh, R .; Ozel, C .;
Cabuk, A.; Guzel, F. D. J Appl. Polym. Sci. 2020, 137.
4. Yin, J.; Xu, L. Int. J. Biol. Macromol. 2020, 160, 352-363.
5. Liu, H.; Zuo, B. Appl. Sci. 2018, 8, 296.
6. Shao, P.; Niu, B.; Chen, H.; Sun, P. Int. J. Biol. Macromol. 2018, 107, 1908-1914
7. Wu, Y.; Kelly, S. H.; Sanchez-Perez, L.; Sampson, J.; Collier, J. H. Biomater. Sci.
2020, 8(12).
8. Cheng, T.; Li, S.; Xu, L. Ahmed, A. Mater. Des. 2019, 178.
9. Wang, Y.; Cheng, T.; Xu, L. The J. Text, Inst, 2019, 110(12), 760-1766.
10. Wang, Y.; Song, Y.H.; Ye, C.W.; Xu, L. Beilstein J. Nanotechnol. 2020, 11, 1280-
1290.
11. Liu, H. Y.; Xu, L.; Tang, X. P.; Si, N. Adv. Mater. Res. 2014, 905: 19-22.
12. Wei, L.; Yu, H. N.; Sun, R. J.; Liu, C. K.; Chen, M. Y.; Liu, H. J.; Xiong, J.; Qin,
X. H. J. Ind. Text. 2020, 0(0), 1-14.
13. Zhou, Y.; Wang, H.; He, J.; Qi, K.; Ding, B.; Cui, S. J. Mater. Sci. 2018, 53(22),
15735-15745.
14. Liu, Y.; Guo, L. J. Nanosci. Nanotechnol. 2013, 13(2), 843-847.
15. Theron, S.A.; Yarin, A.L.; Zussman, E.; Kroll, E. Polymer. 2005, 46, 2889-2899.
16. Liu, S.L.; Huang, Y.Y.; Zhang, H.D.; Sun, B.; Zhang, J.C.; Long, Y.Z. Mater. Res.
Innovations. 2014, 18, 833-837.
17. Jiang, G.; Johnson, L.; Xie, S. Open. Phys. 2019, 17, 313-319.
18. Jun-Jye, N.; Pitt, S. J. Polym. Res. 2018, 25(7): 155.
19. Tan, H. L.; Putrim M. K. S.; Idris, S. S.; Hartikainen, N.; Abu Bakar, N. F.; Keirouz,
A.; Radacsi, N. J. Appl. Polym. Sci. 2020.
20. He, J.H.; Liu, Y.; Xu, L. Mater. Sci. Technol. 2010, 26, 1275-1287.
21. Forward, K. M.; Rutledge, G. C.; Free surface electrospinning from a wire
electrode. Chem. Eng. J. 2012, 183, 492-503.
22. Shao, Z., Yu, L., Xu, L., Wang, M.: Nanoscale. Res. Lett. 2017, 12(1), 470.
23. Yu, L., Shao, Z., Xu, L., Wang, M.: Polymers. 2017, 9(12), 658.
24. Fang, Y., Xu, L., Wang, M.: Nanomaterials. 2018, 8(7), 471.
25. Fang, Y., Xu, L.: Beilstein J. Nanotechnol. 2019, 10, 2261-2274.
26. Ahmed, A., Yin, J., Xu, L., Khan, F.: J. Mater. Res. Technol. 2020, 9(4), 9059-
9072.
27. Banikazemi, S.; Rezaei, M.; Rezaei, P.; Babaie, A.; Alireza Eyvazzadehalajahi, A.
Polym. Adv. Technol. 2020, 31(10), 2199-2208.
28. Xie, S. ; Zeng, Y. Effects of electric field on multineedle electrospinning:
Experiment and simulation study. Ind. Eng. Chem. Res. 2012, 51, 5336-5345.
29. Ipakchi, H.; Masoud Rezadoust, A.; Esfandeh, M.; Mirshekar, H. J. Compos. Mater.
2020, 54, 363-378.
Text is read by the "Ask this paper" AI Q&A widget below.
Extraction quality varies by source — PMC NXML preserves structure
cleanly, OA-HTML may include some navigation residue, and OA-PDF can
have broken hyphenation. The publisher copy
(via DOI)
is the canonical version.