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Understanding the Effect of Resonant Frequency Using Ultrasonic-Assisted Measurement in Gas Fuel System for Natural Gas Vehicle

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Abstract

This work is the experimental study to use the ultrasonic sensor which can seek the optimum sensitivity of pure methane gas used in natural gas vehicle (NGV). This research is to experimentally analyze the acoustic characteristics using an impedance analyzer and three different thicknesses of ultrasonic matching layer (UML). The experiment is composed of 7.0, 7.5, and 8.0 mm of matching layer thickness, 30, 60, 90, and 120 cm of sensor gap in atmospheric air, 20 and 40 cm of sensor gaps between transmission and reception, pure methane of used fuel, 0 ∼ 45 % of mixture gas (CH4), 350 and 400 V of input voltage strength, and 295 K for room temperature. The experiment method includes the sensor concept and structure, theory of ultrasonic energy transfer, signal processing, and experimental setups and conditions. As a result, the sensor sensitivity of ML 7.5 mm is well-measured by stages in entire ratios of an air-methane mixture. Namely, it can be noticed that sensitivity of ML 7.5 mm has the most appropriate effect in the measurement of gas fuel comparing with other sensors. Consequently, the sensitivity characteristics in an air-methane mixture ratio and pure gas space (PGS) have a relation of an inverse proportion. Furthermore, the accuracy of methane gas in high-pressure is higher than low-pressure condition because ultrasound is advantageous in high density.

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References

  1. Acharya, D., Rani, A., Agarwal, S. and Singh, V. (2016). Application of adaptive Savitzky-Golay filter for EEG signal processing. Perspectives in Science, 8, 677–679.

  2. Agarwal, R., Verma, K., Agrawal, N. K., Duchaniya, R. K. and Singh, R. (2016). Synthesis, characterization, thermal conductivity and sensitivity of CuO nanofluids. Applied Thermal Engineering, 102, 1024–1036.

  3. Andolf, E., Dahlander, K. and Aspenberg, P. (1993). Ultrasonic thickness of the endometrium correlated to body weight in asymptomatic postmenopausal women. Obstetrics & Gynecology82, 5, 936–940.

  4. Bamber, J. C. and Hill, C. R. (1979). Ultrasonic attenuation and propagation speed in mammalian tissues as a function of temperature. Ultrasound in Medicine & Biology5, 5, 149–457.

  5. Dixon, S., Edwards, C. and Palmer, S. B. (2001). High accuracy non-contact ultrasonic thickness gauging of aluminium sheet using electromagnetic acoustic transducers. Ultrasonics39, 5, 445–453.

  6. Fei, C., Ma, J., Chiu, C. T., Williams, J. A., Fong, W., Chen, Z., Zhu, B., Xiong, R., Shi, J., Hsiai, T. K., Shung, K. K. and Zhou, Q. (2015). Design of matching layers for high-frequency ultrasonic transducers. Applied Physics Letters107, 5, 123505.

  7. Furukawa, T., Ishida, K. and Fukada, E. (1979). Piezoelectric properties in the composite systems of polymers and PZT ceramics. J. Applied Physics50, 5, 4904–4912.

  8. Gunawan, A. I., Hozumi, N., Yoshida, S., Saijo, Y., Kobayashi, K. and Yamamoto, S. (2015). Numerical analysis of ultrasound propagation and reflection intensity for biological acoustic impedance microscope. Ultrasonics, 61, 79–87.

  9. Hallewell, G. D. (2017). From the speed of sound to the speed of light: Ultrasonic Cherenkov refractometry. Nuclear Instruments and Methods in Physics Research Section A: Accelerators, Spectrometers, Detectors and Associated Equipment, 876, 50–53.

  10. Jothimurugan, R., Thamilmaran, K., Rajasekar, S. and Sanjuán, M. A. F. (2016). Multiple resonance and anti-resonance in coupled duffing oscillators. Nonlinear Dynamics83, 5, 1803–1814.

  11. Kim, K. and Choi, D. (2018a). Thermodynamic kernel, IMEP, and response based on three plasma energies. J. Mechanical Science and Technology32, 5, 3983–3994.

  12. Kim, K. and Choi, D. (2018b). Research on the reaction progress of thermodynamic combustion based on arc and jet plasma energies using experimental and analytical methods. J. Mechanical Science and Technology32, 5, 1869–1878.

  13. Kim, K., Choi, D. and Im, S. (2019a). The application of ultrasonic waves and envelope energies in a closed chamber based on an air/methane mixture. Ultrasonics, 91, 92–102.

  14. Kim, K., Im, S., Choe, M., Yoon, T., Kang, D. and Choi, D. (2019b). Relationship between flame thickness and velocity based on thermodynamic three kernels in a constant volume combustion chamber. J. Mechanical Science and Technology33, 5, 2459–2470.

  15. Knoop, C. and Fritsching, U. (2012). Gas/particle interaction in ultrasound agitated gas flow. Procedia Engineering, 42, 770–781.

  16. Larsson, M., Heyde, B., Kremer, F., Brodin, L.-Å. and D’hooge, J. (2015). Ultrasound speckle tracking for radial, longitudinal and circumferential strain estimation of the carotid artery — An in vitro validation via sonomicrometry using clinical and high-frequency ultrasound. Ultrasonics, 56, 399–408.

  17. Liu, S., Zhu, W., Bai, X., You, T. and Yan, J. (2019). Effect of ultrasonic energy density on moisture transfer during ultrasound enhanced vacuum drying of honey. J. Food Measurement and Characterization13, 5, 559–570.

  18. Nguyen, V.-H., Abdoulatuf, A., Desceliers, C. and Naili, S. (2016). A probabilistic study of reflection and transmission coefficients of random anisotropic elastic plates. Wave Motion, 64, 103–118.

  19. Scala, I., Rosi, G., Nguyen, V.-H., Vayron, R., Haiat, G., Seuret, S., Jaffard, S. and Naili, S. (2018). Ultrasonic characterization and multiscale analysis for the evaluation of dental implant stability: A sensitivity study. Biomedical Signal Processing and Control, 42, 37–44.

  20. Schmidt, R., Wilken, F., Nunner, T. S. and Brouwer, P. W. (2018). Boltzmann approach to the longitudinal spin Seebeck effect. Physical Review B98, 5, 134421.

  21. Ting, Y., Tang, J.-H., Chen, J.-C. and Yu, C.-H. (2017). Using piezoelectric sensor and actuator for ultrasonic assisted system. Ferroelectrics520, 5, 83–92.

  22. Weng, L., Zhang, J. and Zhang, W.-H. (2018). An ultrasound-conductivity method for measuring gas holdup in a microbubble-based gas-liquid system. The Canadian J. Chemical Engineering96, 5, 1005–1011.

  23. Yang, W.-C., Arduino, P., Miller, G. R. and Mackenzie-Helnwein, P. (2018). Smoothing algorithm for stabilization of the material point method for fluid-solid interaction problems. Computer Methods in Applied Mechanics and Engineering, 342, 177–199.

  24. Yoon, T., Kim, K. and Choi, D. (2018). Research on characteristics and effects of combustion performance by amplified ignition energy in CVCC system. J. Mechanical Science and Technology32, 5, 5989–5998.

  25. Zhang, B., Shen, X., Pang, L. and Gao, Y. (2016). Methane-oxygen detonation characteristics near their propagation limits in ducts. Fuel, 177, 1–7.

  26. Zhao, Y., Chen, M., Xia, F. and Lv, R. (2018). Small infiber Fabry-Perot low-frequency acoustic pressure sensor with PDMS diaphragm embedded in hollow-core fiber. Sensors and Actuators A: Physical, 270, 162–169.

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Acknowledgement

This research was supported by the Basic Science Research Program through the National Research Foundation of Korea (NRF) funded by the Ministry of Education (No. 2017R1D1A1B03031156) and by the BB21+ Project in 2019.

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Correspondence to Seok Yeon Im.

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Lee, H.K., Kim, K.S. & Im, S.Y. Understanding the Effect of Resonant Frequency Using Ultrasonic-Assisted Measurement in Gas Fuel System for Natural Gas Vehicle. Int.J Automot. Technol. 21, 459–469 (2020). https://doi.org/10.1007/s12239-020-0043-6

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Key Words

  • Natural gas vehicle (NGV)
  • Methane gas (CH4)
  • Ultrasonic-assisted measurement (USM)
  • Matching layer (ML)
  • Ultrasonic sensor
  • Longitudinal wave
  • Acoustic impedance