Skip to main content
Log in

Acoustic-Driven Airflow Flame Extinguishing System Design and Analysis of Capabilities of Low Frequency in Different Fuels

  • Published:
Fire Technology Aims and scope Submit manuscript

Abstract

Traditional fire extinguishing methods can harm people and nature. For this purpose, in this study, no harmful acoustic-driven airflow fire extinguishing system was developed and experiments were carried out to extinguish gasoline, kerosene, thinner (synthetic thinner) liquid fuels and liquid petroleum gas (LPG) flames. 17,442 extinguishing experiments were conducted in 5 different flame sizes, 54 different frequencies and 10 cm to 190 cm distance range. The data obtained were analyzed using the polynomial regression method. For liquid fuels, the frequencies of 10 Hz to 50 Hz at a distance of 10 cm to 100 cm, 10 Hz to 32 Hz at a distance of 100 cm to 150 cm, and 10 Hz to 28 Hz at a distance of 150 cm to 180 cm are effective extinguishing ranges. LPG fuel, 10 Hz to 45 Hz at a distance of 10 cm to 140 cm, frequencies of 15 Hz to 30 Hz at a distance of 140 cm to 180 cm are effective extinguishing ranges. In addition, caused by the compression of the woofers membrane inside the collimator and the injected airflow at frequency of 30 Hz reduced the 12 cm diameter metal plate from 86.2°C to 18.8°C in 5 min, and the metal plate left to cool down from 80°C to 21.7°C in 10 min at a distance of 100 cm. The average Mean Square Error value obtained as a result of polynomial regression analysis is 0.9544, and the Root Mean Square Error value is 1.2020.

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

Access this article

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

Instant access to the full article PDF.

Institutional subscriptions

Figure 1
Figure 2
Figure 3
Figure 4
Figure 5
Figure 6
Figure 7
Figure 8
Figure 9
Figure 10
Figure 11

Similar content being viewed by others

References

  1. Zhao J et al (2019) Superhydrophobic and oleophobic ultra-fine dry chemical agent with higher chemical activity and longer fire-protection. J Hazard Mater 380:120625

    Article  Google Scholar 

  2. Lu Y et al (2018) Preparation and high temperature resistance of a novel aqueous foam for fire extinguishing. Proc Eng 211:514–520

    Article  Google Scholar 

  3. Ponomarenko R et al. (2019) Review of the environmental characteristics of fire extinguishing substances of different composition used for fires extinguishing of various classes

  4. McDougal JN, Dodd DE (1993) Air Force approach to risk assessment for Halon replacements. Toxicol Lett 68(1–2):31–35

    Article  Google Scholar 

  5. Jeong K (2019) A study on clean agents for halon replacement in the portable extinguisher with CO 2 as an expellant gas. Fire Sci Eng 33(3):51–55

    Article  Google Scholar 

  6. Sharifi V, Kempf A, Beck C (2019) Large-Eddy simulation of acoustic flame response to high-frequency transverse excitations. AIAA J 57(1):327–340

    Article  Google Scholar 

  7. Baillot F, Lespinasse F (2014) Response of a laminar premixed V-flame to a high-frequency transverse acoustic field. Combust Flame 161(5):1247–1267

    Article  Google Scholar 

  8. Xiong C et al (2020) Acoustical extinction of flame on moving firebrand for the fire protection in wildland-urban interface. Fire Technol 57:1–16

    Google Scholar 

  9. DARPA, DARPA instant flame suppression phase II—final report. The defense advanced research projects agency, pp 1–23

  10. Friedman AN, Stoliarov SI (2017) Acoustic extinction of laminar line-flames. Fire Saf J 93:102–113

    Article  Google Scholar 

  11. Friedman AN et al (2018) Acoustically enhanced water mist suppression of heptane fueled flames. Fire Technol 54(6):1829–1840

    Article  Google Scholar 

  12. Sevilla-Esparza CI et al (2014) Droplet combustion in the presence of acoustic excitation. Combust Flame 161(6):1604–1619

    Article  Google Scholar 

  13. Niegodajew P et al (2018) Application of acoustic oscillations in quenching of gas burner flame. Combust Flame 194:245–249

    Article  Google Scholar 

  14. Beisner E et al (2015) Acoustic flame suppression mechanics in a microgravity environment. Microgravity Sci Technol 27(3):141–144

    Article  Google Scholar 

  15. Dattarajan S et al (2006) Acoustic excitation of droplet combustion in microgravity and normal gravity. Combust Flame 144(1–2):299–317

    Article  Google Scholar 

  16. Chen L-W, Wang Q, Zhang Y (2013) Flow characterisation of diffusion flame under non-resonant acoustic excitation. Exp Thermal Fluid Sci 45:227–233

    Article  Google Scholar 

  17. Zong R et al (2018) Analysis of flame extinguishment and height in low frequency acoustically excited methane jet diffusion flame. Microgravity Sci Technol 30(3):237–242

    Article  MathSciNet  Google Scholar 

  18. O’Connor J, Acharya V, Lieuwen T (2015) Transverse combustion instabilities: acoustic, fluid mechanic, and flame processes. Prog Energy Combust Sci 49:1–39

    Article  Google Scholar 

  19. McKinney D, Dunn-Rankin D (2000) Acoustically driven extinction in a droplet stream flame. Combust Sci Technol 161(1):27–48

    Article  Google Scholar 

  20. Hu L et al (2013) Flame height and lift-off of turbulent buoyant jet diffusion flames in a reduced pressure atmosphere. Fuel 109:234–240

    Article  Google Scholar 

  21. Hou S-S, Chung D-H, Lin T-H (2015) Experimental and numerical investigation of jet flow and flames with acoustic modulation. Int J Heat Mass Transf 83:562–574

    Article  Google Scholar 

  22. Goelzer B, Hansen CH, Sehrndt G (2001) Occupational exposure to noise: evaluation, prevention and control. World Health Organisation

    Google Scholar 

  23. Xiong C, Wang Z, Huang X (2021) Acoustic flame extinction by the sound wave or speaker-induced wind? Fire Saf J 126:103479

    Article  Google Scholar 

  24. Torikai H (2020) Extinguishing characteristics of a pool fire with a rubber balloon filled with inert gases. Fire Technol 56(1):385–399

    Article  Google Scholar 

  25. Hayes AF, Montoya AK (2017) A tutorial on testing, visualizing, and probing an interaction involving a multicategorical variable in linear regression analysis. Commun Methods Meas 11(1):1–30

    Article  Google Scholar 

  26. Cheng X et al. (2018) Polynomial regression as an alternative to neural nets. Preprint http://arxiv.org/abs/1806.06850

  27. Yu J et al (2020) A confidence interval-based process optimization method using second-order polynomial regression analysis. Processes 8(10):1206

    Article  Google Scholar 

  28. Jeon M-G et al (2020) A study on two-dimensional temperature and concentration distribution of Propane-Air premixed flame using CT-TDLAS. Mod Phys Lett B 34(07n09):2040020

    Article  Google Scholar 

  29. Popoola SI et al (2019) Determination of neural network parameters for path loss prediction in very high frequency wireless channel. IEEE Access 7:150462–150483

    Article  Google Scholar 

  30. Sajjad M et al (2020) A novel CNN-GRU-based hybrid approach for short-term residential load forecasting. IEEE Access 8:143759–143768

    Article  Google Scholar 

  31. Selvamani R, Rexy J, Kumar R (2020) Sound wave propagation in a multiferroic thermo elastic nano fiber under the influence of surface effect and parametric excitation. J Solid Mech 12(2):493–504

    Google Scholar 

  32. Wei L et al (2017) Reconstruction of sound source signal by analytical passive TR in the environment with airflow. J Sound Vib 392:77–90

    Article  Google Scholar 

  33. Ueno S, Sakamoto S-I, Orino Y (2017) Effect of stack channel radius on the cooling performance of a thermoacoustic cooling system with diameter-expanded prime movers. Jpn J Appl Phys 56(7S1):07JE07

    Article  Google Scholar 

Download references

Acknowledgements

This project was supported by the Scientific Research Coordinator of Selcuk University with the Project Number 20111008. This study is part of Yavuz Selim TASPINAR’s Ph.D. thesis and Murat KOKLU is his advisor.

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to Yavuz Selim Taspinar.

Additional information

Publisher's Note

Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations'' (in PDF at the end of the article below the references; in XML as a back matter article note).

Supplementary Information

Below is the link to the electronic supplementary material.

Supplementary file1 (MP4 3838 KB)

Supplementary file2 (MP4 4833 KB)

Supplementary file3 (MP4 4131 KB)

Supplementary file4 (MP4 1179 KB)

Supplementary file5 (MP4 4923 KB)

Supplementary file6 (MP4 107 KB)

Supplementary file7 (MP4 6826 KB)

Rights and permissions

Reprints and permissions

About this article

Check for updates. Verify currency and authenticity via CrossMark

Cite this article

Taspinar, Y.S., Koklu, M. & Altin, M. Acoustic-Driven Airflow Flame Extinguishing System Design and Analysis of Capabilities of Low Frequency in Different Fuels. Fire Technol 58, 1579–1597 (2022). https://doi.org/10.1007/s10694-021-01208-9

Download citation

  • Received:

  • Accepted:

  • Published:

  • Issue Date:

  • DOI: https://doi.org/10.1007/s10694-021-01208-9

Keywords

Navigation