Characterization of a new polymer optical fiber with enhanced sensing capabilities using a Bragg grating

Leal‐Junior, Arnaldo; Theodosiou, Antreas; Frizera, Anselmo; Shafir, Ehud; Palchik, Oleg; Tal, Nadav; Zilberman, Shlomi; Berkovic, Garry; Antunes, Paulo; André, Paulo S.; Kalli, Kyriacos; Marques, Carlos

doi:10.1364/ol.43.004799

Cited by 74 publications

(26 citation statements)

References 19 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…This paper presents a novel POF-integrated optoelectronic smart textile, which can overcome the limitations discussed above. The POF used in this work is fabricated through the light polymerization spinning (LPS) process, in which a mixture of monomers are polymerized with UV light, resulting in a higher degree of customization for the so-called LPS-POF 25 . The proposed LPS-POF has Young’s modulus more than 100 times lower than commercial POFs, which is even lower than the elastic modulus of cotton and other textile/fabric materials.…”

Section: Introductionmentioning

confidence: 99%

Smart textiles for multimodal wearable sensing using highly stretchable multiplexed optical fiber system

Leal‐Junior

Avellar

Frizera

et al. 2020

Sci Rep

Self Cite

131

View full text Add to dashboard Cite

This paper presents the development and application of a multiparameter, quasi-distributed smart textile based on embedded highly stretchable polymer optical fiber (POF) sensors. The POF is fabricated using the light polymerization spinning process, resulting a highly stretchable optical fiber, so-called LPS-POF, with Young’s modulus and elastic limits of 15 MPa and 17%, respectively. The differential scanning calorimetry shows a thermal stability of the LPS-POF in temperature range of 13–40 °C. The developed sensors are based on the optical power variation, which results in a fully portable and low-cost technique. In order to obtain a multiplexed sensor system, a technique based on flexible light emitting diodes (LEDs) on–off keying modulation is applied, where each LED represents the response of one sensor. The smart textile comprises of LPS-POF and three flexible LEDs embedded in neoprene textile fabric. The performance of the system is evaluated for temperature, transverse force and angular displacement detection at different planes. The sensors presented high linearity (mean determination coefficient of 0.99) and high repeatability (inter-measurement deviations below 5%). The sensor is also applied in activity detection, where the principal component analysis (PCA) was applied in the sensors responses and, in conjunction with clustering techniques such as k-means, indicate the possibility of detecting basic activities such as walking, sitting on a chair and squatting.

show abstract

Section: Introductionmentioning

confidence: 99%

Smart textiles for multimodal wearable sensing using highly stretchable multiplexed optical fiber system

Leal‐Junior

Avellar

Frizera

et al. 2020

Sci Rep

Self Cite

131

View full text Add to dashboard Cite

show abstract

“…Alternatively, fiber-optic based sensors have a number of unique properties that make them attractive for sensing in soft robots [18][19][20][21][22]. In particular, their light-weight, low-loss, fast response, electromagnetic interference immunity, chemical stability and nontoxic nature make them an ideal sensor in biomedical and harsh environments.…”

Section: Introductionmentioning

confidence: 99%

Movement Detection in Soft Robotic Gripper Using Sinusoidally Embedded Fiber Optic Sensor

Yang

Liu

Naqawe

et al. 2020

Sensors

View full text Add to dashboard Cite

Soft robotics is an emerging field, since it offers distinct opportunities in areas where conventional rigid robots are not a feasible solution. However, due to the complex motions of soft robots and the stretchable nature of soft building materials, conventional electronic and fiber optic sensors cannot be used in soft robots, thus, hindering the soft robots’ ability to sense and respond to their surroundings. Fiber Bragg grating (FBG)-based sensors are very popular among various fiber optic sensors, but their stiff nature makes it challenging to be used in soft robotics. In this study, a soft robotic gripper with a sinusoidally embedded stretchable FBG-based fiber optic sensor is demonstrated. Unlike a straight FBG embedding configuration, this unique sinusoidal configuration prevents sensor dislocation, supports stretchability and improves sensitivity by seven times when compared to a straight configuration. Furthermore, the sinusoidally embedded FBG facilitates the detection of various movements and events occurring at the soft robotic gripper, such as (de)actuation, object holding and external perturbation. The combination of a soft robot and stretchable fiber optic sensor is a novel approach to enable a soft robot to sense and response to its surroundings, as well as to provide its operation status to the controller.

show abstract

“…Such fibers have intrinsic advantages over the conventional silica optical fibers for sensors applications due to their higher strain limits, fracture toughness, lower Young's modulus and flexibility [21]. These advantages result to sensors with higher sensitivity and dynamic range for mechanical parameters measurement [22]. As the main drawback of most POFs are their high attenuation at 1550 nm wavelength region, perfluorinated POFs, such as CYTOP, have been proposed as a viable alternative for optical signals transmission at 1550 nm [23].…”

Section: Introductionmentioning

confidence: 99%

Optimizing Linearity and Sensitivity of 3D-Printed Diaphragms With Chirped FBGs in CYTOP Fibers

et al. 2020

Self Cite

View full text Add to dashboard Cite

We report the development of an optimization approach for diaphragm-embedded optical fiber sensors, which was applied on the pressure, force and liquid level assessment using chirped fiber Bragg gratings (CFBGs) inscribed in cyclic transparent optical polymer (CYTOP) fibers. The inscription was performed using the plane-by-plane method with a femtosecond laser, whereas the diaphragm optimization was performed through the multi-objective particle swarm optimization (MOPSO). The objective functions for the optimization were obtained from numerical simulation using the finite element method of diaphragms with different thickness and diameters. The MOPSO resulted in a set of solutions with thickness and diameter aiming the optimization of sensitivity and linearity of diaphragm-embedded CFBG sensors. Three configurations were chosen with different values sensitivity and linearity. Experimental analysis was performed in each configuration for temperature and pressure variations, where the results confirmed the different sensitivity and linearity levels for each chosen configuration. Two applications were analyzed for the proposed configurations with higher sensitivity and linearity: one for force estimation over a 200-N range and the other for sub-millimeter assessment of liquid level over a 50-cm range. In order to obtain a highly reliable and accurate system, a novel data integration method for chirped FBGs was proposed. In this case, the estimation of force, pressure or liquid level was performed considering the contributions of both wavelength shift and full width half maximum (FWHM) variations. The proposed approach resulted in error improvement of 60% for all cases and for all parameters analyzed.

show abstract

Characterization of a new polymer optical fiber with enhanced sensing capabilities using a Bragg grating

Cited by 74 publications

References 19 publications

Smart textiles for multimodal wearable sensing using highly stretchable multiplexed optical fiber system

Smart textiles for multimodal wearable sensing using highly stretchable multiplexed optical fiber system

Movement Detection in Soft Robotic Gripper Using Sinusoidally Embedded Fiber Optic Sensor

Optimizing Linearity and Sensitivity of 3D-Printed Diaphragms With Chirped FBGs in CYTOP Fibers

Contact Info

Product

Resources

About