Experimental Investigation of Amplitude-Modulated Waves for Flame Extinguishing: A Case of Acoustic Environmentally Friendly Technology

Author:

Wilk-Jakubowski Jacek1

Affiliation:

1. 1 Kielce University of Technology , 7 Tysiąclecia Państwa Polskiego Ave., 25-314 , Kielce , Poland

Abstract

Abstract Flame extinguishing methods that are safe for humans and non-invasive to the surrounding environment are being sought worldwide. One of them is acoustic technology, which appears to be an innovative and non-invasive means for flame extinguishing. A highpower and long-range extinguisher was built to explore the possibility of using this environmentally friendly technology. The article includes experimental results, obtained from a laboratory stand, on the possibility of extinguishing flames using amplitude-modulated waves depending on the frequency of the acoustic wave and the distance of the flame source from the extinguisher outlet, which is a scientific novelty. The advantages and disadvantages of acoustic technology are also analysed. The paper concludes that low-frequency acoustic waves are favourable for extinguishing flames because they cause more turbulence in the flame, and thus have a higher extinguishing efficiency. The results are promising and acoustic waves may be used to successfully extinguish flames in a wide range of firefighting scenarios in the future.

Publisher

Walter de Gruyter GmbH

Subject

General Environmental Science,Renewable Energy, Sustainability and the Environment

Reference66 articles.

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2. Ivanov S., Stankov S. Acoustic Extinguishing of Flames Detected by Deep Neural Networks in Embedded Systems. The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences 2021:XLVI-4/W5-2021:307–312. https://doi.org/10.5194/isprs-archives-XLVI-4-W5-2021-307-2021

3. Wilk-Jakubowski J., Stawczyk P., Ivanov S., Stankov S. Control of acoustic extinguisher with Deep Neural Networks for fire detection. Elektronika ir Elektrotechnika 2022:28(1):52–59. https://doi.org/10.5755/j02.eie.24744

4. Ivanov S., Stankov S., Wilk-Jakubowski J., Stawczyk P. The using of Deep Neural Networks and acoustic waves modulated by triangular waveform for extinguishing fires. Presented at International Workshop on New Approaches for Multidimensional Signal Processing (NAMSP 2020), Technical University of Sofia, Sofia, Bulgaria, 2020. New Approaches for Multidimensional Signal Processing (‘Smart Innovation, Systems and Technologies’ series) 2021:216:207–218. https://doi.org/10.1007/978-981-33-4676-5_16

5. Wilk-Jakubowski J., Stawczyk P., Ivanov S., Stankov S. The using of Deep Neural Networks and natural mechanisms of acoustic waves propagation for extinguishing flames. International Journal of Computational Vision and Robotics 2022:12(2):101–119. https://doi.org/10.1504/IJCVR.2021.10037050

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