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Computación y Sistemas

versión On-line ISSN 2007-9737versión impresa ISSN 1405-5546

Comp. y Sist. vol.27 no.3 Ciudad de México jul./sep. 2023  Epub 17-Nov-2023

https://doi.org/10.13053/cys-27-3-4607 

Articles

Development of Membranes for Use as the Seismic Mass in a Fiber Optic-Accelerometer

Salvador Israel Avilés-López1 

Miguel Ángel Basurto-Pensado1  * 

Omar Palillero-Sandoval1 

Francisco Antonio Castillo-Velásquez2 

11 Universidad Autónoma del Estado de Morelos, Centro de Investigación en Ingeniería y Ciencias Aplicadas, Mexico. salvador.aviles@uaem.edu.mx, omar.palillero@uaem.mx.

22 Universidad Politécnica de Querétaro, Mexico. francisco.castillo@upq.mx.


Abstract:

This work presents the design and test of a fiber optic-based one-axes accelerometer. This device is a reflexive-optical accelerometer and implements a membrane for the seismic mass. To this end, the researchers tested a set of membranes with different geometries and materials.

Keywords: Accelerometer; fiber optic; membrane

1 Introduction

Accelerometers allow for measuring linear and rotational acceleration in one or more directions. Their applications are widely extended in various fields, from industrial and military systems to home products [–3].

Nowadays, the need to measure vibration has become especially important because it quickly brings information about the medium and uses where the device is working.

An area that uses optical mediums to detect vibration exists in accelerometers' development. Some of them, internally, have emitter-and-receiver-of-light devices, transforming optical signals into electrical ones [–6].

Other accelerometers use a waveguide to transmit a beam inside the accelerometer, measure the acceleration and drive the beam outside to transform it into an electrical signal.

Some advantages this type of device can offer are magnetic and electric field immunity, which can be used in hazardous environments and for long distances [–9].

Different measuring methods exist among accelerometers that use a waveguide; some use fiber optic with Bragg gratings [10, 11], interferometry [12], or optical power variation. In the last one, variants like the bending of fibers [–15] and the use of mirrors to redirect the beam [–18] exist.

In this paper, we present the test of an accelerometer that uses a mirror fixed over a membrane of flexible material that let the measurement in one direction (perpendicular to the plane of the membrane) and the effect of the used material and the applied geometry in the membrane over the measurement results.

2 Structure and the Principle of Functioning

The accelerometer structure consists of a PLA-material-housing where a reflective probe is fixed, inside housing a membrane with a ceramic mirror at the center. The accelerometer is a single-degree-of-freedom spring-mass system, with the membrane as the seismic mass (Fig. 1).

Fig. 1 Realistic section view of the accelerometer 

The membrane has been made of polyvinyl chloride (PVC), polyethylene terephthalate (PET), latex, and silicon and tested with different geometries to ensure either inclination or rotation of the central reflective about the axis parallel to the membrane plane is limited, so the mirror only moves in one direction.

Fig. 1 shows a section view of the accelerometer's structure, elements, and position. The reflective probe lets drive a laser light to its end in front of the mirror and receive the reflected light to guide it until a sensor light.

Fig. 2 shows the end of the reflective probe, where each circle represents a fiber optic end. The laser light is emitted to the mirror by the central point and caught back through one or more fiber optics around the central one.

Fig. 2 End of the reflective probe. The central fiber optic drives light to one terminal of the probe, and the rest of the fiber optics (around the center) drive light to a second terminal 

Fig. 3 shows a section view of the accelerometer that indicates how a laser beam travels from the central fiber to another fiber for conducting it to a light sensor.

Fig. 3 Section view of the accelerometer 

Three different geometries were made with a laser cutter to ensure the quality of the edges and were tested (Fig. 4 and 5). In addition, the researchers conducted a finite element analysis to verify the membranes' work conditions.

Fig. 4 The geometries used in the test 

Fig. 5 Photo of laser cut membrane 

3 Material and Methods

Fig. 6 shows the main components of the experiment. The system comprises a laser diode U-LD-650543 of 650nm, a reflection/backscatter probe R400-7-VIS/NIR, and a TEMT600 Ambient Light Sensor.

Fig. 6 Arrangement for testing 1-axis reflection sensors 

We used a NI-9232 board with a sample rate of 10k Hz and specific software testing for data acquisition. The one-optical-fiber-terminal of the reflection probe is attached to a laser diode for transmitting the light into the housing accelerometer.

Meanwhile, the multiple-optical fiber terminal collects the reflected light and is attached to the light sensor.

The stainless cylinder of the reflection probe is fixed to the accelerometer's housing, where the distance between the end-cylinder and the mirror is critical for establishing the highest beam reflection.

For testing, the vibration shaker (Fig. 6) consists of a small speaker fixed to an aluminum structure and driven into a frequency range between 25 to 300Hz with a sinusoidal signal. Finally, we compared the test results to an accelerometer DIN-LGA to verify their accuracy.

4 Results and Discussion

The initial tests let us select the best material for the new device. As mentioned above, four materials were tested, searching for the best approximation of the original signal in the vibration shaker, and tests were performed in the range from 10Hz to 300Hz with steps of 10Hz.

In a preliminary selection, PET and PVC were discarded. Fig. 8 shows a sample of the signal obtained in the tests made with the different materials using the 4-beam geometry (Fig. 4a), with the vibration shaker offset of 160Hz. The PET shows a worse response than the other materials in this figure.

Fig. 7 Vibration shaker 

Fig. 8 Response of different materials to the vibrator shaker’s signal of 160Hz 

While Fig. 8 shows a similar response between PVC and silicon, Fig. 9 compares the response of these materials at different frequencies, where the last one enhances the signal response; considering this comparison, the PVC is discarded.

Fig. 9 Comparison between the response of PVC and Silicon at different frequencies using 4-beam geometry 

The other two geometries shown in Fig. 4 (6-beam and 3-beam geometries) were tested to improve the results. Figures 10 and 11 show the response to combining the two remaining materials (silicon and latex) with the two geometries at different frequencies.

Fig. 10 Comparison between the 3-beam and 6-beam geometries using latex. 

Fig. 11 Comparison between the 3-beam and 6-beam geometries using silicon 

In both figures, considering the number of picks in the represented signal and the similarity to the original signal (a sinusoidal wave), the 3-beam membrane presents better results than the 6-beam membrane.

The fast Fourier transform (FFT) was applied to determine the frequencies of the acquired signals. Fig. 12 shows the main frequencies measured with the accelerometer compared to the signal frequency of the vibration shaker.

Fig. 12 Comparative of measured frequencies among material y geometry combination 

The central line indicates the expected result, meanwhile, the mark indicates the result of measuring, for example, in the first chart, all points are over the central line; in the other charts, some points are separated from the line indicating a difference between the main frequency measured and the vibration shaker frequency.

Nevertheless, it does not mean that the fundamental frequency is not detected. In Fig. 13, it is shown the FFT results of the 170Hz test using the 3-beam membrane of silicon. In this figure, the main frequency is at 119Hz, and the second one is 170Hz, which is the reason for the mark's position apart from the center line in Fig. 12.

Fig. 13 Sample of FFT applied to the acquired signal with the vibration shaker offset at 170Hz 

The calculated average error for silicon membrane is 25.21% in 6-beam geometry and 5.03% in 3-beam geometry; on the other hand, for latex material is 28.44% with 6-beam geometry and 0.24% with 3-beam geometry. The average error was calculated considering the main frequency obtained by the FFT.

5 Conclusions

A unidirectional accelerometer has been developed under the mass-spring system, where an accessible, flexible material membrane has replaced the probe mass.

Tests showed that the geometry of the membrane has a more significant effect on the measurement results compared to the material used.

With the device tested, measuring the acceleration between 10 Hz and 300 Hz is possible, being the design of 3-beam geometry that presents better performance using latex material, considering the shape of the acquired signal and the main frequency obtained by the FFT.

In future work, to achieve more precise measurement results, it is necessary to improve the production of membranes and mirrors and new geometries.

References

1. Medeiros, K. A. R., Barbosa, C. R. H., Oliveira, E. C. (2015). Flow measurement by piezoelectric accelerometers: application in the oil industry. Petroleum Science and Technology, Vol. 33, No. 13-14, pp. 1402–1409. DOI: 10.1080/10916466.2015.1044613. [ Links ]

2. Pucher, F., Gattringer, H., Muller, A. (2019). Collision detection for flexible link robots using accelerometers. IFAC-PapersOnLine, Vol. 52, No. 16, pp. 514–519. DOI: 10.1016/j.ifacol.2019.12.013. [ Links ]

3. Troiano, R. P., McClain, J. J., Brychta, R. J., Chen, K. Y. (2014). Evolution of accelerometer methods for physical activity research. British Journal of Sports Medicine, Vol. 48, No. 13, pp. 1019–1023. DOI: 10.1136/bjsports-2014-093546. [ Links ]

4. Li, R., Lei, Y., Chang, Z., Zhang, L., Fan, K. (2018). Development of a high-sensitivity optical accelerometer for low-frequency vibration measurement. Sensors, Vol. 18, No. 9, pp. 2910. DOI: 10.3390/s18092910. [ Links ]

5. Abbaspour-Sani, E., Huang, R., Kwok, C. Y. (1995). A wide-range linear optical accelerometer. Sensors and Actuators A: Physical, Vol. 49, No. 3, pp. 149–154. DOI: 10.1016/0924-4247(95)01024-6. [ Links ]

6. Lei, Y., Li, R., Chen, R., Zhang, L., Hu, P., Huang, Q., Fan, K. (2021). A high-precision two-dimensional micro-accelerometer for low-frequency and micro-vibrations. Precision Engineering, Vol. 67, pp. 419–427. DOI: 10.1016/j.precisioneng.2020.10.011. [ Links ]

7. Yin, S., Ruffin, P. B., Yu-Francis, T. S. (2019). Fiber Optic Sensor. CRC Press, 2nd Ed. [ Links ]

8. Fidanboylu, K, Efendioglu, H. (2009). Fiber optic sensors and their applications. 5th International Advanced Technologies Symposium, pp. 13–15. [ Links ]

9. Kishore, P., Dinakar, D., Padmavathi, M. (2021). Fiber optic vibration sensors. IntechAbierto, DOI: 10.5772/intechopen.94013 [ Links ]

10. Bao, W., Qiao, X., Rong, Q. (2019). Fiber-optic vector accelerometer using orthogonal bragg grating inscription over innermost cladding of a multi-clad fiber. Journal of Lightwave Technology, Vol. 37, No. 11, pp. 2706–2712. DOI: 10.1109/jlt.2018.2866881. [ Links ]

11. Pomorski-Linessio, R., dos-Santos-Tavares, L. H., da-Silva, T., de-Oliveira, V., Alberto-Bavastri, C., da-Costa-Antunes, P. F., Cardozo-da-Silva, J. C. (2019). Biaxial optical accelerometer based on ultra-high numerical aperture fiber. IEEE Sensors Journal, Vol. 19, No. 10, pp. 3690–3697. DOI: 10.1109/jsen.2019.2894988. [ Links ]

12. Zhao, Z., Yu, Z., Chen, K., Yu, Q. (2018). A fiber-optic fabry-perot accelerometer based on high-speed white light interferometry demodulation. Journal of Lightwave Technology, Vol. 36, No. 9, pp. 1562–1567. DOI: 10.1109/jlt.2017.2783882. [ Links ]

13. Amorebieta, J., Ortega-Gómez, A., Durana, G., Fernández, R., Antonio-López, E., Scholzgen, A., Zubia, J., Amezcua-Correa, R., Villatoro, J. (2020). Highly sensitive multicore fiber accelerometer for low frequency vibration sensing. Scientific Reports, Vol. 10, No. 1. DOI: 10.1038/s41598-020-73178-x. [ Links ]

14. Vallan, A., Casalicchio, M. L., Penna, A., Perrone, G. (2012). An intensity-based fiber accelerometer. IEEE International Instrumentation and Measurement Technology Conference Proceedings, pp. 1078-1082. DOI: 10.1109/i2mtc.2012.6229126. [ Links ]

15. Yamazaki, H., Kurose, I., Nishiyama, M., Watanabe, K. (2018). Pendulum-type hetero-core fiber optic accelerometer for low-frequency vibration monitoring. Sensors, Vol. 18, No. 8, pp. 2528. DOI: 10.3390/s18082528. [ Links ]

16. Binu, S., Pillai, V. M., Chandrasekaran, N. (2007). Fibre optic displacement sensor for the measurement of amplitude and frequency of vibration. Optics and Laser Technology, Vol. 39, No. 8, pp. 1537–1543. DOI: 10.1016/j.optlastec.2006.12.008. [ Links ]

17. Marty, J., Malki, A., Renouf, C., Lecoy, P., Baillieu, F. (1995). Fibre-optic accelerometer using silicon micromachining techniques. Sensors and Actuators A: Physical, Vol. 47, No. 1-3, pp. 470–473. DOI: 10.1016/0924-4247(94)00943-c. [ Links ]

18. Zykov-Myzin, K. A., Belovolov, M. I., Dianov, E. M., Gladyshev, A. V. (2004). High sensitive fiber optic accelerometer with laser readout. Proceedings of the Society of Photographic Instrumentation Engineers. Lasers for Measurements and Information Transfer, Vol. 5381. DOI: 10.1117/12.547634. [ Links ]

Received: May 09, 2023; Accepted: September 01, 2023

* Corresponding author: Miguel Ángel Basurto-Pensado, e-mail: mbasurto@uaem.mx

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