The difference between simulation and
experimental data increases with wavelength, and
hence it is clear that the overall performance of the
3D-printed material is heavily affected by
wavelength-dependent absorption and scattering
losses (Patel, N., Kim, T. S, 2024) .
4.4 Discussion
The results show how accurately numerical
simulations can predict optical performance under
ideal conditions. However, the experimental
fluctuations emphasize the need for:
Decreased structural defects due to increased
precision in the fabrication process.
The selection of advanced materials having
enhanced optical scattering and absorption properties.
Parameter optimization for 3D printing to make it
closer to theoretical designs.
These results demonstrate that, while the
technology of 3D printing provides a versatile and
relatively inexpensive means to realize PCF, more
efforts are needed in material science and fabrication
technology to fill this gap between simulation and
experimental results ( Kumar. M, 2023)
Table 1: Performance Analysis of 3D Printed PCF
Wavelen
gth (nm)
Simula
ted
Loss
(dB/cm
)
Experime
ntal Loss
(dB/cm)
Differe
nce
(dB/cm
)
Polarizat
ion
Depende
nce (X-
POL vs
Y-POL)
600 -0.05 0.20 0.25 Minimal
620 -0.10 0.40 0.50
Moderat
e
640 -0.15 0.60 0.75
Moderat
e
660 -0.20 0.70 0.90
Significa
nt
680 -0.25 0.75 1.00
Significa
nt
700 -0.30 0.80 1.10
Significa
nt
5 CONCLUSION
This work demonstrates how 3D printing technology
can be used in designing, simulating, and fabricating
photonic crystal fibers (PCFs). The proposed design
was numerically simulated with minimal losses in
confinement. However, the test results from PCFs
3D-printed had larger losses due to material
constraints and manufacturing faults.It indicates that
although 3D printing is a valid method for
prototyping PCFs, challenges like material absorption
and surface roughness remain. The research
highlights the promise of 3D printing for rapid PCF
fabrication and provides a platform for future studies
to address enhancing optical performance and
useful applications.
ACKNOWLEDGEMENTS
The authors thank Vel Tech High Tech Dr.
Rangarajan Dr. Sakunthala Engineering College for
providing the 3D printing lab facilities for our
research work.
REFERENCES
Lu, Y., Chen, J., and Zhang, S. (2018). Advances in
photonic crystal fiber-based sensing: A review. IEEE
Sensors Journal, 18(8), 3050–3060.
Dey, S., Paul, A., and Kundu, D. (2018). Development of
3D printed photonic crystal fiber sensors. IEEE Sensors
Journal, 18(7), 2950–2955.
Ng, L., Li, X., and Wang, B. (2020). Experimental
validation of 3D printed fiber optic geometries for
sensing applications. IEEE Transactions on
Instrumentation and Measurement, 69(2), 522–530.
Nielsen, M., Mortensen, N., and Folkenberg, J. (2002).
Enhanced field confinement and loss-guiding
properties in large-mode area photonic crystal fibers.
IEEE Photonics Technology Letters, 14(7), 990–992.
Abouraddy, A.F., et al. (2007). Towards multimaterial
multifunctional fibers that see, hear, sense, and
communicate. Nature Materials, 6(5), 336–347.
Jha, J. K., and Kumar, M. (2020). Numerical and
experimental analysis of low-loss photonic crystal
fibers for wavelength sensing. Optical Fiber
Technology, 58, 102–113.
Rahman, A., Mondal, S., and Roy, P. (2021). 3D-printed
optical fibers for enhanced performance in sensing
applications. Journal of Lightwave Technology, 38(10),
2545–2552.
Huang, X., Tian, Y., and Zhou, J. (2021). Simulation and
fabrication of complex photonic structures using 3D
printing technology. IEEE Photonics Technology
Letters, 33(8), 404–407.
Singh, P., and Sharma, R. (2022). Improved confinement
loss analysis in photonic crystal fibers using plasmonic
materials. IEEE Photonics Journal, 14(2), 445–453.
Chen, M. T., and Choi, J. W. (2023). Low-cost fabrication
of optical fibers using fused deposition modeling
(FDM). Proceedings of SPIE, 12004, Optical Sensing
and Detection IX.
Patel, N., Kim, T. S., and Chen, D. (2024). Comparative
study of experimental and simulation results in