# Experimental Study of Flame Extinguishing Using a Smart High-Power Acoustic Extinguisher: A Case of Distorted Waveforms

**Authors:** Jacek Lukasz Wilk-Jakubowski

PMC · DOI: 10.3390/s26041204 · 2026-02-12

## TL;DR

This paper explores using low-frequency sound waves to extinguish flames, offering a new fire protection method for hard-to-reach or sensitive areas.

## Contribution

The study introduces a novel acoustic extinguishing technique using higher even harmonics and integrates smart sensors for rapid fire detection and suppression.

## Key findings

- Low-frequency acoustic waves with higher even harmonics can effectively extinguish flames.
- Statistical analysis helps determine optimal system parameters for flame suppression.
- Smart sensors enhance fire detection and enable automatic extinguishing at greater distances.

## Abstract

The acoustic technique emerges as a highly promising, cutting-edge solution that can be effectively employed for extinguishing flames in locations where the access to classical fire-protection measures is limited, the available extinguishing agent is severely restricted, or the burning materials are difficult to suppress using currently known methods. The results of the experimental attempts confirmed that low-frequency acoustic waves containing higher even harmonics from the tenth to the sixteenth order (inclusive) can successfully extinguish flames, demonstrating both the feasibility and the novelty of the acoustic technique for fire protection. Moreover, statistical analysis was applied to identify operational boundary values and assess their variability, supporting the optimal selection of system parameters required for rapid and effective flame extinguishing. By integrating an acoustic extinguisher with optional intelligent sensors, including artificial vision, it becomes possible to rapidly detect flames at much greater distances than with conventional smoke and temperature sensors, as well as to automatically extinguish them. In this context, an integrated solution combining acoustic waves with an artificial intelligence module (smart sensor) may be employed for comprehensive fire management, encompassing both fire detection and flame extinguishing.

## Full-text entities

- **Genes:** SGPL1 (sphingosine-1-phosphate lyase 1) [NCBI Gene 8879] {aka NPHS14, RENI, S1PL, SPL}
- **Diseases:** injury to (MESH:D014947), pain (MESH:D010146), Fires (MESH:D000092422), smoke (MESH:D015208)
- **Chemicals:** paraffin wax (MESH:D010232), NOx (-), O2 (MESH:D010100), wax (MESH:D014885), CO2 (MESH:D002245), water (MESH:D014867), nitrogen oxide (MESH:D009589)
- **Species:** Homo sapiens (human, species) [taxon 9606], Meleagris gallopavo (common turkey, species) [taxon 9103]

## Figures

12 figures with captions in the complete paper: https://tomesphere.com/paper/PMC12944286/full.md

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Source: https://tomesphere.com/paper/PMC12944286