- Volumes 84-95 (2024)
-
Volumes 72-83 (2023)
-
Volume 83
Pages 1-258 (December 2023)
-
Volume 82
Pages 1-204 (November 2023)
-
Volume 81
Pages 1-188 (October 2023)
-
Volume 80
Pages 1-202 (September 2023)
-
Volume 79
Pages 1-172 (August 2023)
-
Volume 78
Pages 1-146 (July 2023)
-
Volume 77
Pages 1-152 (June 2023)
-
Volume 76
Pages 1-176 (May 2023)
-
Volume 75
Pages 1-228 (April 2023)
-
Volume 74
Pages 1-200 (March 2023)
-
Volume 73
Pages 1-138 (February 2023)
-
Volume 72
Pages 1-144 (January 2023)
-
Volume 83
-
Volumes 60-71 (2022)
-
Volume 71
Pages 1-108 (December 2022)
-
Volume 70
Pages 1-106 (November 2022)
-
Volume 69
Pages 1-122 (October 2022)
-
Volume 68
Pages 1-124 (September 2022)
-
Volume 67
Pages 1-102 (August 2022)
-
Volume 66
Pages 1-112 (July 2022)
-
Volume 65
Pages 1-138 (June 2022)
-
Volume 64
Pages 1-186 (May 2022)
-
Volume 63
Pages 1-124 (April 2022)
-
Volume 62
Pages 1-104 (March 2022)
-
Volume 61
Pages 1-120 (February 2022)
-
Volume 60
Pages 1-124 (January 2022)
-
Volume 71
- Volumes 54-59 (2021)
- Volumes 48-53 (2020)
- Volumes 42-47 (2019)
- Volumes 36-41 (2018)
- Volumes 30-35 (2017)
- Volumes 24-29 (2016)
- Volumes 18-23 (2015)
- Volumes 12-17 (2014)
- Volume 11 (2013)
- Volume 10 (2012)
- Volume 9 (2011)
- Volume 8 (2010)
- Volume 7 (2009)
- Volume 6 (2008)
- Volume 5 (2007)
- Volume 4 (2006)
- Volume 3 (2005)
- Volume 2 (2004)
- Volume 1 (2003)
• A new smoke particle elimination method is proposed using electro-acoustic coupling.
• Smoke transmittance increases to 90% in 15 s at a low sound pressure level.
• Optimal combination of the parameters exists for the electro-acoustic coupling field.
• Electro-acoustic coupling field promotes agglomeration of smoke particles.
Fire smoke, which consists large amounts of fine particles, is considered as the fatal factor in fires. In this study, a fast smoke particle elimination method based on electro-acoustic coupling agglomeration technology is proposed. First, the experimental results show that the electro-acoustic coupling agglomeration has higher smoke elimination efficiency compared to single-field. The smoke transmission is much less than 80% after 30 s of single acoustic or electric field action, while the coupled field reaches 90%. Then, the effects of acoustic frequency, sound pressure level and voltage on the smoke elimination characteristics are discussed. It is found that the optimal acoustic frequency is 1.5 kHz. While as the sound pressure level and voltage increase, the elimination efficiency first increases and then tends to stabilize, the critical values of the sound pressure level and voltage are 135 dB and 7 kV. This indicates that there is an optimal combination of the three variables. Finally, through the theoretical analysis of particle movement and the micro-morphology of agglomerates, the particle agglomeration mechanism under the electro-acoustic coupling is analyzed. This study provides a new idea for the fast elimination of fire smoke particle.