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Identification of Acoustic Characteristic Parameters and Improvement of Sound Absorption Performance for Porous Metal

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Engineering Training Center, Nanjing Institute of Industry Technology, No. 1 north Yangshan road, Nanjing 210023, China
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Department of Mechanical Engineering, College of Field Engineering, Army Engineering University, No. 1 Haifu Street, Nanjing 210007, China
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State Key Laboratory of Ultra-precision Machining Technology, Department of Industrial and Systems Engineering, The Hong Kong Polytechnic University, Kowloon 999077, Hong Kong, China
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Author to whom correspondence should be addressed.
Metals 2020, 10(3), 340; https://doi.org/10.3390/met10030340
Received: 26 January 2020 / Revised: 18 February 2020 / Accepted: 2 March 2020 / Published: 3 March 2020
Porous metal is widely used in the fields of sound absorption and noise reduction, and it is a critical procedure to identify acoustic characteristic parameters and to improve sound absorption performances. Based on the constructed theoretical sound absorption model and experimental data, acoustic characteristic parameters of the porous metal were identified through the cuckoo search identification algorithm, and their reliabilities were certified through comparing with these labeled parameters and further experimental validation. By adding the microperforated metal panel in front of the porous metal, a composite sound-absorbing structure was formed, which aimed to improve the sound absorption performance of the original porous metal by optimizing the parameters. Finite element simulation and a standing wave tube measurement were conducted to validate the effectiveness and practicability of the optimal composite sound-absorbing structure. Consistencies among theoretical predictions, simulation results, and experimental data proved the effectiveness of the identification and optimization method. When the target frequency ranges were 100–1000 Hz, 100–2000 Hz, 100–3000 Hz, and 100–4000 Hz. Actual average sound absorption coefficients of the optimal composite structures were 0.5154, 0.6369, 0.6770, and 0.7378, respectively, which exhibited the obvious improvements with a tiny increase in the occupied space and a small addition in weight. View Full-Text
Keywords: porous metal; acoustic characteristic parameter; sound absorption performance; cuckoo search algorithm; identification and optimization; microperforated metal panel porous metal; acoustic characteristic parameter; sound absorption performance; cuckoo search algorithm; identification and optimization; microperforated metal panel
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MDPI and ACS Style

Yang, X.; Shen, X.; Duan, H.; Zhang, X.; Yin, Q. Identification of Acoustic Characteristic Parameters and Improvement of Sound Absorption Performance for Porous Metal. Metals 2020, 10, 340.

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