The Rebirth of Large-Core Plastic Optical Fibers: Some Recent Results from the EU Project "POF-ALL"

Author(s):  
Daniel Cardenas ◽  
Antonino Nespola ◽  
Stefano Camatel ◽  
Silvio Abrate ◽  
Roberto Gaudino
2004 ◽  
Vol 13 (03n04) ◽  
pp. 513-517 ◽  
Author(s):  
HIROTAKA MIZUNO ◽  
OKIHIRO SUGIHARA ◽  
TOSHIKUNI KAINO ◽  
YUKA OHE ◽  
NAOMICHI OKAMOTO ◽  
...  

A simple and low-cost fabrication method of polymeric optical waveguides with large core sizes for plastic optical fibers is presented. The waveguides are fabricated by hot embossing with a rectangular ridge ultraviolet (UV)-cured epoxy resin stamper. The stamper is fabricated by replication of a rectangular groove mold that is made from silicone rubber replicated from a rectangular ridge original master made from thick photoresist (SU-8). A rectangular ridge shape of the original photoresist master of 1 mm size was realized by using a flattening process, which involves hot embossing before the exposure process and using a UV-cut filter during the exposure process.


Photonics ◽  
2019 ◽  
Vol 6 (3) ◽  
pp. 88
Author(s):  
Dwight Richards ◽  
Alicia Lopez ◽  
M. Angeles Losada ◽  
Pablo V. Mena ◽  
Enrico Ghillino ◽  
...  

The application areas for plastic optical fibers such as in-building or aircraft networks usually have tight power budgets and require multiple passive components. In addition, advanced modulation formats are being considered for transmission over plastic optical fibers (POFs) to increase spectral efficiency. In this scenario, there is a clear need for a flexible and dynamic system-level simulation framework for POFs that includes models of light propagation in POFs and the components that are needed to evaluate the entire system performance. Until recently, commercial simulation software either was designed specifically for single-mode glass fibers or modeled individual guided modes in multimode fibers with considerable detail, which is not adequate for large-core POFs where there are millions of propagation modes, strong mode coupling and high variability. These are some of the many challenges involved in the modeling and simulation of POF-based systems. Here, we describe how we are addressing these challenges with models based on an intensity-vs-angle representation of the multimode signal rather than one that attempts to model all the modes in the fiber. Furthermore, we present model approaches for the individual components that comprise the POF-based system and how the models have been incorporated into system-level simulations, including the commercial software packages SimulinkTM and ModeSYSTM.


2011 ◽  
Vol 29 (2) ◽  
pp. 186-193 ◽  
Author(s):  
C. M. Okonkwo ◽  
E. Tangdiongga ◽  
H. Yang ◽  
D. Visani ◽  
S. Loquai ◽  
...  

2016 ◽  
Vol 11 (2) ◽  
pp. 122-126 ◽  
Author(s):  
Hazli Rafis Bin Abdul Rahim ◽  
Somarapalli Manjunath ◽  
Hoorieh Fallah ◽  
Siddharth Thokchom ◽  
Sulaiman Wadi Harun ◽  
...  

2005 ◽  
Vol 44 (12) ◽  
pp. 8504-8506 ◽  
Author(s):  
Hirotaka Mizuno ◽  
Okihiro Sugihara ◽  
Toshikuni Kaino ◽  
Naomichi Okamoto ◽  
Motoshi Ohama

2013 ◽  
Vol 543 ◽  
pp. 302-305
Author(s):  
Daniele Tosi ◽  
Massimo Olivero ◽  
Alberto Vallan ◽  
Guido Perrone

The paper analyzes the feasibility of cost-effective fiber sensors for the measurement of small vibrations, from low to medium-high frequencies, in which the complexity of the measurement is moved from expensive optics to cheap electronics without losing too much performance thanks to signal processing algorithms. Two optical approaches are considered: Bragg gratings in standard telecom fibers, which represent the most common type of commercial fiber sensors, and specifically developed sensors made with plastic optical fibers. In both cases, to keep the overall cost low, vibrations are converted into variations of the light intensity, although this makes the received signal more sensitive to noise. Then, adaptive filters and advanced spectral estimation techniques are used to mitigate noise and improve the sensitivity. Preliminary results have demonstrated that the combined effect of these techniques can yield to a signal-to-noise improvement of about 30 dB, bringing the proposed approaches to the level of the most performing sensors for the measurement of vibrations.


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