International Journal of Optics and Applications
p-ISSN: 2168-5053 e-ISSN: 2168-5061
2017; 7(3): 62-67
doi:10.5923/j.optics.20170703.03

Faramarz E. Seraji1, M. Nouri2
1Optical Communication Group, Iran Telecom Research Center, Tehran, Iran
2Elect. and Computer Eng. Dept, Science and Research Branch, Islamic Azad University, Tehran, Iran
Correspondence to: Faramarz E. Seraji, Optical Communication Group, Iran Telecom Research Center, Tehran, Iran.
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Copyright © 2017 Scientific & Academic Publishing. All Rights Reserved.
This work is licensed under the Creative Commons Attribution International License (CC BY).
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In this paper, optimization and management of dispersion of photonic crystal fibers (PCF) are presented, using 2D finite difference method in time domain based on an Intelligent Programming. In the analysis, for the proposed PCF structures, by evaluation of the effective refractive indices, the dispersions are calculated for 11 circular air-hole rings in the cladding. The effects of geometrical parameters of the PCFs, such as air-hole diameters, the pitch value, number of air rings on dispersion are investigated for the influence of the structural parameters of the PCFs on the obtained dispersions and the corresponding results are graphically compared. It is shown that when the air-hole diameter decreases, the slope of the negative dispersion would increase, while increase of the pitch would cause a decrease in the negative dispersion values. It is further shown that at pitches of higher than 5μm, irrespective of air-hole diameter, the variation of the dispersion is almost linear. The results presented can help in choosing the PCF parameters for appropriate applications.
Keywords: Dispersion management, Photonic crystal fibers, Optimization, FDTD
Cite this paper: Faramarz E. Seraji, M. Nouri, Design of Structural Parameters of Photonic Crystal Fibers for Optimization of Dispersion Flattening Management Using FDTD Method, International Journal of Optics and Applications, Vol. 7 No. 3, 2017, pp. 62-67. doi: 10.5923/j.optics.20170703.03.
![]() | (1) |
is the material dispersion and
indicates the waveguide dispersion that are expressed, respectively, as:![]() | (2) |
![]() | (3) |
represents the velocity of light in a vacuum,
is the wavelength, and
indicates the propagation constant, which is defined as follows:![]() | (4) |
is the operating wavelength,
a constant coefficient, and
is a natural number. For evaluation of the dependency of refractive index of silica on wavelength, the Sellmeier formula is used, which is defined as follows:![]() | (5) |
represents the coefficients related to the strength of material oscillator and
denotes the corresponding wavelength of the oscillator. Finally, the effective refractive index
is determined with respect to the structural parameters of the PCFs, using the following approximate expression [10]:![]() | (6) |
and air-hole diameter
, the number of air rings in the cladding
, and the pitch
with effective refractive indices of the core
and air
.
and the pitch
is
.By using 2d-FDTD method, the cross-section, effective refractive index, and dispersion as a function of wavelength are depicted in Fig. 1. The variations of the dispersion in the wavelength range of
to
are obtained from -70 to +22 ps/nm.km. The dispersion values at 1300 nm and 1550 nm are zero and about 14 ps/nm.km, respectively, with a mild changing slope. In another attempt, based on the intelligent algorithm [10], by further increase of the air-hole diameter to
while keeping the pitch
, it is noticed that the variations of the dispersion has changed from -47 to +15 ps/nm.km and the value at
is obtained at about 9 ps/nm.km, as shown in Fig. 2. That is, by increasing the air-hole diameter by about 37%, there will be a reduction of dispersion value of 36% (5 units) smaller than the previous case.The dispersion slope at
in second case (Fig. 2) is 3.64 deg. higher than that of the first case (Fig. 1). In the final stage of design procedure, the impact of large variations of the pitch
on the dispersion property is investigated for air-hole diameter of
The corresponding numerical results are graphically depicted in Fig. 3. Noteworthy to mention that by sudden increase of the pitch, the PCF structure is not rumbled and the holes arrangement is taken care by the employed intelligent algorithm [10].![]() | Figure 1. Cross-section of PCF with , (Above), the effective refractive index (Middle), and dispersion (Below) as functions of wavelength |
![]() | Figure 2. Cross-section of PCF with (Above), the effective refractive index (Middle), and the dispersion (Below) as functions of wavelength |
![]() | Figure 3. As previous curves for and ![]() |
values.The first attempt was on increasing the air-hole diameter in a range of
to
with constant pitch of
and number of air-hole ring
. The numerical results of dispersion variations in terms of wavelength are illustrated in Fig. 4 [16]. We note that for the given value of
, over calculating range of the wavelength, when air-hole diameter increases, the slope of the dispersion would decrease and becomes more flattened.![]() | Figure 4. Dispersion versus wavelength for different values of the air-hole diameter, and ![]() |
to
, the variations of the dispersion slope versus air-hole diameter is plotted in Fig. 5, where the pitch
and the number of air-hole ring
. It is observed that when the air-hole diameter increases, the slope at
would decrease to the lowest level for a typical maximum value of
. It shows that the trend of dispersion slope variations in terms of air-hole diameter is almost linear. As
increases, the dispersion in the wavelength range of
to
, becomes more flat [8, 17]. ![]() | Figure 5. Variation of the dispersion slope versus air-hole diameters for and ![]() |
to
with respect to wavelength is investigated, by considering two separate values of air-hole diameter of
and
.The numerical results are illustrated in Fig. 6. In comparison to Fig. 4, it is noticed that as the pitch increases, the tail of the dispersion curve tends to more negative levels in shorter wavelengths, while in longer wavelengths, the dispersions become more positive. This condition is observed for both values of the air-hole diameter. The distinguishable difference between Figs. 6a and 6b is derived mainly from the influence of changes of the air-hole diameter d. When d. increases, the slope of the dispersion curve would reduce and tends to a flatter levels [9]. In general, as d. decreases, the dispersion slope would increase, whereas an increase in the pitch would cause the dispersion slope to increase. Therefore, the impacts of air-hole diameter d. and the pitch
counterbalance each other.![]() | Figure 6. Dispersion versus wavelength for different values of the pitch for (a) (b) and ![]() |
and
for various values of the air-hole diameter d, as depicted in Figs. 7.If we compare two Figs. 7a and 7b, it’s noted that in the calculating range of the pitch
the dispersion values exponentially become more negative at wavelength
, while at higher wavelength
, the changing trend of the dispersion is towards positive values. At the same time, the impact of the variations in air-hole diameter d, causes different changes for two wavelengths. At
and
, the dispersion variations is about +5.15 ps/nm.km, whereas at
with the same value of d, the variation is about -27 ps/nm.km.![]() | Figure 7. Variations of dispersion versus the pitch for various values of d and (a) at and (b) ![]() |
, all the slopes of the dispersions in the calculating range of air-hole diameter d, intersect at about twice the corresponding value of
denoted by
In other words, the ratio
almost remain at constant value. For instance, when
, the intersection points
of all the dispersion slopes occur at about
respectively, for different values of d, as shown in Fig. 8. ![]() | Figure 8. Intersection points of dispersion slopes obtained as and at respectively, for different values of d |
and dispersion in terms of the given range of d vary linearly, defined by equations
and
, respectively, at
and
, as illustrated in Fig. 9.![]() | Figure 9. The linear relationships between (a) and (b) the dispersion versus d at and ![]() |
is obtained as 20 ps/nm.km with a slope of 9 deg. To compare the slope of the three cases, we found that in the third case the dispersion become about 36% more flattened. The numerical results obtained in three cases are listed in Table 1 for a qualitative comparisons.
|
to
, at
, the intersections of dispersion slopes
of the proposed PCF, with number of air-holes in the cladding
varies linearly with air-hole diameter d. We have also shown that at
and
, the relationships between
and dispersion in terms of d vary linearly, defined by equations
and
, respectively.Another interesting result worth to note is the flat dispersion spectrum in the range 1100 to 1550 nm, when
and
. Further results showed that the impacts of air-hole diameter d and the pitch
counterbalance each other in a given PCF structure.