Skip to main content
SpringerLink
Log in

Diagnostics of Transient Heat-Transfer Regimes during Pool Boiling Based on Wavelet Transform of Temperature Fluctuations

  • HEAT AND MASS TRANSFER, AND PROPERTIES OF WORKING FLUIDS AND MATERIALS
  • Published:
Thermal Engineering Aims and scope Submit manuscript

Abstract

The aim of this work is to develop a method for diagnosing heat-transfer transition modes from convection to nucleate boiling and from nucleate to film boiling based on the analysis of heater surface temperature fluctuations using a discrete wavelet transform that has a number of advantages compared to the Fourier transform, which is traditionally used to obtain amplitude-frequency characteristics of temperature fluctuations and diagnosing a change in the heat-transfer mode. The developed method was tested on experimental data on heat-transfer for the convective regime and nucleate and film pool boiling of water and liquid nitrogen pool boiling at atmospheric pressure. It is shown that, at the convective heat-transfer mode, the energy of the coefficients of the wavelet decomposition of the temperature fluctuations of the heater surface is mainly localized in the region of relatively low frequencies. When the nucleate boiling mode is reached, the energy distribution of the coefficients over the decomposition levels becomes more uniform and the appearance of high frequencies is noted. The forms of energy distributions of the decomposition coefficients of temperature fluctuations for the convective heat-transfer regime and film boiling are similar, but the total energy of decomposition coefficients for film boiling is an order of magnitude larger. According to the obtained results, new criteria for changing the heat-transfer regime are formulated that are based on determining the total energy of the coefficients of decomposition of temperature fluctuations and the Shannon entropy of the distribution of the energy of the coefficients over decomposition levels. The results of the work can be useful in creating a reliable automated system for diagnosing heat-transfer, including in real time.

This is a preview of subscription content, log in via an institution to check access.

Access this article

Log in via an institution

Price excludes VAT (USA)
Tax calculation will be finalised during checkout.

Instant access to the full article PDF.

Institutional subscriptions

Fig. 1.
Fig. 2.
Fig. 3.
Fig. 4.
Fig. 5.
Fig. 6.
Fig. 7.
Fig. 8.
Fig. 9.
Fig. 10.

Similar content being viewed by others

REFERENCES

  1. R. F. Gaertner, “Photographic study of nucleate pool boiling on a horizontal surface,” J. Heat Transfer 87, 17–27 (1965). https://doi.org/10.1115/1.3689038

    Article  Google Scholar 

  2. M. Gao, L. Zhang, P. Cheng, and X. Quan, “An investigation of microlayer beneath nucleation bubble by laser interferometric method,” Int. J. Heat Mass Transfer 57, 183–189 (2013). https://doi.org/10.1016/j.ijheatmasstransfer.2012.10.017

    Article  Google Scholar 

  3. A. Surtaev, V. Serdyukov, I. Malakhov, and A. Safarov, “Nucleation and bubble evolution in subcooled liquid under pulse heating,” Int. J. Heat Mass Transfer 169, 120911 (2021). https://doi.org/10.1016/j.ijheatmasstransfer.2021.120911

    Article  Google Scholar 

  4. X. Zhang and X. M. Wu, “Time and frequency characteristics of pressure fluctuations during subcooled nucleate flow boiling,” Heat Transfer Eng. 39, 642–653 (2018). https://doi.org/10.1080/01457632.2017.1325670

    Article  Google Scholar 

  5. N. K. Tutu, “Pressure fluctuations and flow pattern recognition in vertical two phase gas–liquid flows,” Int. J. Multiphase Flow 8, 443–447 (1982). https://doi.org/10.1016/0301-9322(82)90053-2

    Article  Google Scholar 

  6. B. M. Dorofeev, “Acoustic phenomena in boiling,” High Temp. 23, 479–492 (1985).

    Google Scholar 

  7. J. Tang, G. Xie, J. Bao, Z. Mo, H. Liu, and M. Du, “Experimental study of sound emission in subcooled pool boiling on a small heating surface,” Chem. Eng. Sci. 188, 179–191 (2018). https://doi.org/10.1016/j.ces.2018.05.002

    Article  Google Scholar 

  8. M. Shibahara, K. Fukuda, Q. S. Liu, K. Hata, and S. Masuzaki, “Boiling incipience of subcooled water flowing in a narrow tube using wavelet analysis,” Appl. Therm. Eng. 132, 595–604 (2018). https://doi.org/10.1016/j.applthermaleng.2017.12.110

    Article  Google Scholar 

  9. T. Alhashan, A. Addali, J. A. Teixeira, and S. Elhashan, “Identifying bubble occurrence during pool boiling employing acoustic emission technique,” Appl. Acoust. 132, 191–201 (2018). https://doi.org/10.1016/j.apacoust.2017.11.006

    Article  Google Scholar 

  10. S. B. Seo and I. C. Bang, “Acoustic analysis on the dynamic motion of vapor–liquid interface for the identification of boiling regime and critical heat flux,” Int. J. Heat Mass Transfer 131, 1138–1146 (2019). https://doi.org/10.1016/j.ijheatmasstransfer.2018.11.136

    Article  Google Scholar 

  11. Y. Ueki and K. Ara, “Proof of concept of acoustic detection of boiling inception and state transition using deep neural network,” Int. Commun. Heat Mass Transfer 129, 105675 (2021). https://doi.org/10.1016/j.icheatmasstransfer.2021.105675

    Article  Google Scholar 

  12. A. R. Zabirov, A. A. Smirnova, Yu. M. Feofilaktova, R. A. Shevchenko, S. A. Shevchenko, D. A. Yashnikov, and S. L. Solov’ev, “Using neural networks in atomic energy thermophysical problems (review),” Therm. Eng. 67, 497–508 (2020). https://doi.org/10.1134/S0040601520080108

    Article  Google Scholar 

  13. V. I. Deev, K. V. Kutsenko, A. A. Lavrukhin, Yu. A. Maslov, and M. I. Delov, “Frequency analysis of fluctuations of the temperature of a heater and of sound noise in boiling used for the diagnostics of the changes in the heat-transfer regimes,” Therm. Eng. 61, 590–593 (2014). https://doi.org/10.1134/S0040601514080035

    Article  Google Scholar 

  14. V. I. Deev, Zar Ni Aung, K. V. Kutsenko, A. A. Lavrukhin, and V. N. Fedoseev, “Statistical analysis of temperature fluctuations as a method of diagnostics of heat transfer modes in boiling,” Tepl. Protsessy Tekh., No. 4, 163–169 (2013).

  15. V. N. Skokov, V. P. Koverda, A. V. Vinogradov, and A. V. Reshetnikov, “Low-frequency fluctuations with 1/f α power spectrum in transient modes of water boiling on a wire heater,” High Temp. 48, 706–712 (2010). https://doi.org/10.1134/S0018151X10050123

    Article  Google Scholar 

  16. V. N. Skokov, V. P. Koverda, A. V. Reshetnikov, V. P. Skripov, N. A. Mazheiko, and A. V. Vinogradov, “1/f noise and self-organized criticality in crisis regimes of heat and mass transfer,” Int. J. Heat Mass Transfer 46, 1879–1883 (2003). https://doi.org/10.1016/S0017-9310(02)00475-1

    Article  Google Scholar 

  17. V. P. Koverda and V. N. Skokov, “Determination of preferential exponent α in random processes with a 1/f α-power spectrum,” Phys. A (Amsterdam, Neth.) 511, 263–271 (2018). https://doi.org/10.1016/j.physa.2018.07.046

  18. B. V. Balakin, M. I. Delov, K. V. Kutsenko, A. A. Lavrukhin, S. Laouar, Yu. E. Litvintsova, A. S. Marchenko, and Yu. A. Maslov, “Analyzing temperature fluctuations to predict boiling regime,” Therm. Sci. Eng. Prog. 4, 219–222 (2017). https://doi.org/10.1016/j.tsep.2017.10.015

    Article  Google Scholar 

  19. M. I. Delov, Yu. E. Litvintsova, D. M. Kuzmenkov, S. Laouar, Yu. A. Maslov, A. A. Lavrukhin, B. V. Balakin, and K. V. Kutsenko, “Diagnostics of transient heat transfer regimes based on statistical and frequency analysis of temperature fluctuations,” Exp. Heat Transfer 33, 471–486 (2020). https://doi.org/10.1080/08916152.2019.1662517

    Article  Google Scholar 

  20. Yu. E. Litvintsova, S. Laouar, M. I. Delov, D. M. Kuzmenkov, A. A. Lavrukhin, and K. V. Kutsenko, “Diagnostics of coolant boiling onset based on the analysis of fluctuations of thermohydraulic parameters,” J. Phys.: Conf. Ser. 1689, 012042 (2020). https://doi.org/10.1088/1742-6596/1689/1/012042

    Article  Google Scholar 

  21. P. Zhang and M. Murakami, “On the wavelet analysis of the oscillatory phenomena in He II film boiling,” Cryogenics 43, 679–685 (2003). https://doi.org/10.1016/S0011-2275(03)00181-4

    Article  Google Scholar 

  22. S. G. Mallat, “A theory for multiresolution signal decomposition: The wavelet representation,” IEEE Trans. Pattern Anal. Mach. Intell. 11, 674–693 (1989). https://doi.org/10.1109/34.192463

    Article  MATH  Google Scholar 

  23. M. J. Shensa, “The discrete wavelet transform: Wedding the a trous and Mallat algorithms,” IEEE Trans. Signal Process. 40, 2464–2482 (1992). https://doi.org/10.1109/78.157290

    Article  MATH  Google Scholar 

  24. E. V. Egorova, M. Kh. Aksyaitov, and A. N. Rybakov, Methods of Increasing the Efficiency of Wavelet Transformations during Processing, Compression and Restoration of Radio-Technical Signals: Monograph (Yukom, Tambov, 2019) [in Russian]. https://doi.org/10.17117/mon.2019.02.01

    Book  Google Scholar 

  25. S. V. Sychev, Yu. A. Fadin, A. D. Breki, A. E. Gvozdev, and D. A. Provotorov, “Method of choosing optimal mother wavelet based on energy and entropy criteria,” Izv. Tul’sk. Gos. Univ., Tekh. Nauki., No. 7, 33–41 (2017).

  26. S. Mallat, A Wavelet Tour of Signal Processing, 3rd ed. (Academic, San Diego, Calif., 2009). https://doi.org/10.1016/B978-0-12-374370-1.00011-2

    Book  MATH  Google Scholar 

Download references

Author information

Authors and Affiliations

  1. National Research Nuclear University Moscow MEPhI (Engineering Physics Institute), 115409, Moscow, Russia

    Yu. E. Litvintsova, D. M. Kuzmenkov, K. Yu. Muradyan, M. I. Delov & K. V. Kutsenko

  2. National Research Centre Kurchatov Institute, 123182, Moscow, Russia

    Yu. E. Litvintsova

Authors
  1. Yu. E. Litvintsova
    View author publications

    You can also search for this author in PubMed Google Scholar

  2. D. M. Kuzmenkov
    View author publications

    You can also search for this author in PubMed Google Scholar

  3. K. Yu. Muradyan
    View author publications

    You can also search for this author in PubMed Google Scholar

  4. M. I. Delov
    View author publications

    You can also search for this author in PubMed Google Scholar

  5. K. V. Kutsenko
    View author publications

    You can also search for this author in PubMed Google Scholar

Corresponding author

Correspondence to Yu. E. Litvintsova.

Ethics declarations

The authors declare that they have no conflicts of interest.

Rights and permissions

Reprints and permissions

About this article

Check for updates. Verify currency and authenticity via CrossMark

Cite this article

Litvintsova, Y.E., Kuzmenkov, D.M., Muradyan, K.Y. et al. Diagnostics of Transient Heat-Transfer Regimes during Pool Boiling Based on Wavelet Transform of Temperature Fluctuations. Therm. Eng. 70, 875–884 (2023). https://doi.org/10.1134/S0040601523110101

Download citation

  • Received:

  • Revised:

  • Accepted:

  • Published:

  • Issue Date:

  • DOI: https://doi.org/10.1134/S0040601523110101

Keywords:

Search

Navigation