Noise Reduction of an Extinguishing Nozzle Using the Response Surface Method

Yo-Hwan Kim, Myoungwoo Lee, In-Ju Hwang and Youn-Jea Kim
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Yo-Hwan Kim: Graduate School of Mechanical Engineering, Sungkyunkwan University, Suwon 16419, Korea
Myoungwoo Lee: Graduate School of Mechanical Engineering, Sungkyunkwan University, Suwon 16419, Korea
In-Ju Hwang: Senior Research Fellow, Department of Future Technology and Convergence Research, Korea Institute of Civil Engineering and Building Technology, Goyang 10223, Korea
Youn-Jea Kim: School of Mechanical Engineering, Sungkyunkwan University, Suwon 16419, Korea

Energies, 2019, vol. 12, issue 22, 1-13

Abstract: An inert gas such as nitrogen is used as an extinguishing agent to suppress unexpected fire in places such as computer rooms and server rooms. The gas released with high pressure causes noise above 130 dB. According to recent studies, loud noise above 120 dB has a strong vibrational energy that leads to a negative influence on electronic equipment with a high degree of integration. In this study, a basic fire-extinguishing nozzle with absorbent was selected as the reference model, and numerical analysis was conducted using the commercial software, ANSYS FLUENT ver. 18.1. A total of 45 experiment points was selected using the design of experiment (DOE) method. An optimum point was derived using the response surface method (RSM). Results show that the vibrational energy of the noise was reduced by minimizing the turbulence kinetic energy. Pressure and velocity distributions were calculated and graphically depicted with various absorbent configurations.

Keywords: fire-extinguishing nozzle; CFD; CAA; RSM; genetic aggregation; optimization (search for similar items in EconPapers)
JEL-codes: Q Q0 Q4 Q40 Q41 Q42 Q43 Q47 Q48 Q49 (search for similar items in EconPapers)
Date: 2019
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (2)

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