Embedded Rough-Neck Helmholtz Resonator Low-Frequency Acoustic Attenuator
In various practical noise control scenarios, such as duct noise mitigation, industrial machinery, architectural acoustics, and underwater applications, it is essential to develop noise absorbers that deliver effective low-frequency attenuation while maintaining compact dimensions. To achieve low-fr...
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| Format: | Article |
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MDPI AG
2024-12-01
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| Series: | Crystals |
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| Online Access: | https://www.mdpi.com/2073-4352/15/1/12 |
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| author | Xianming Sun Tao Yu Lipeng Wang Yunshu Lu Changzheng Chen |
| author_facet | Xianming Sun Tao Yu Lipeng Wang Yunshu Lu Changzheng Chen |
| author_sort | Xianming Sun |
| collection | DOAJ |
| description | In various practical noise control scenarios, such as duct noise mitigation, industrial machinery, architectural acoustics, and underwater applications, it is essential to develop noise absorbers that deliver effective low-frequency attenuation while maintaining compact dimensions. To achieve low-frequency absorption within a limited spatial volume, this study proposes an embedded Helmholtz resonator featuring a roughened neck and establishes a numerical computational model that incorporates thermos viscous effects. A quantitative investigation is conducted on three types of embedded rough-neck geometries (rectangular-grooved, triangular-grooved, and undulated) to elucidate their acoustic performance, with particular attention to differences in acoustic transmission loss and acoustic impedance characteristics. In response to the practical demand for even lower-frequency attenuation, this work further focuses on optimizing the structural parameters of an embedded rectangular-grooved Helmholtz resonator (ERHR). A back-propagation (BP) neural network models and predicts how structural parameters impact the acoustic transmission coefficient, elucidating the effects of geometric variations. Moreover, by coupling the BP network with the Golden Jackal Optimization (GJO) algorithm, a BP-GJO optimization model is developed to refine the structural parameters. The findings reveal that the proposed method significantly improves resonator spatial utilization at a specific noise frequency while preserving acoustic transmission loss performance. This work thereby provides a promising strategy for designing low-frequency, compact Helmholtz resonators suitable for a wide range of noise control applications. |
| format | Article |
| id | doaj-art-c90f179e69dd4f3198059564acc41a76 |
| institution | Kabale University |
| issn | 2073-4352 |
| language | English |
| publishDate | 2024-12-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Crystals |
| spelling | doaj-art-c90f179e69dd4f3198059564acc41a762025-01-24T13:28:00ZengMDPI AGCrystals2073-43522024-12-011511210.3390/cryst15010012Embedded Rough-Neck Helmholtz Resonator Low-Frequency Acoustic AttenuatorXianming Sun0Tao Yu1Lipeng Wang2Yunshu Lu3Changzheng Chen4School of Mechanical and Automotive Engineering, Ningbo University of Technology, Ningbo 315211, ChinaSchool of Environmental and Chemical Engineering, Shenyang University of Technology, Shenyang 110870, ChinaSchool of Mechanical and Automotive Engineering, Ningbo University of Technology, Ningbo 315211, ChinaSchool of Mechanical and Automotive Engineering, Ningbo University of Technology, Ningbo 315211, ChinaSchool of Mechanical Engineering, Shenyang University of Technology, Shenyang 110870, ChinaIn various practical noise control scenarios, such as duct noise mitigation, industrial machinery, architectural acoustics, and underwater applications, it is essential to develop noise absorbers that deliver effective low-frequency attenuation while maintaining compact dimensions. To achieve low-frequency absorption within a limited spatial volume, this study proposes an embedded Helmholtz resonator featuring a roughened neck and establishes a numerical computational model that incorporates thermos viscous effects. A quantitative investigation is conducted on three types of embedded rough-neck geometries (rectangular-grooved, triangular-grooved, and undulated) to elucidate their acoustic performance, with particular attention to differences in acoustic transmission loss and acoustic impedance characteristics. In response to the practical demand for even lower-frequency attenuation, this work further focuses on optimizing the structural parameters of an embedded rectangular-grooved Helmholtz resonator (ERHR). A back-propagation (BP) neural network models and predicts how structural parameters impact the acoustic transmission coefficient, elucidating the effects of geometric variations. Moreover, by coupling the BP network with the Golden Jackal Optimization (GJO) algorithm, a BP-GJO optimization model is developed to refine the structural parameters. The findings reveal that the proposed method significantly improves resonator spatial utilization at a specific noise frequency while preserving acoustic transmission loss performance. This work thereby provides a promising strategy for designing low-frequency, compact Helmholtz resonators suitable for a wide range of noise control applications.https://www.mdpi.com/2073-4352/15/1/12acoustic metamaterialsHelmholtz resonatorparameter optimizationpipeline noise |
| spellingShingle | Xianming Sun Tao Yu Lipeng Wang Yunshu Lu Changzheng Chen Embedded Rough-Neck Helmholtz Resonator Low-Frequency Acoustic Attenuator Crystals acoustic metamaterials Helmholtz resonator parameter optimization pipeline noise |
| title | Embedded Rough-Neck Helmholtz Resonator Low-Frequency Acoustic Attenuator |
| title_full | Embedded Rough-Neck Helmholtz Resonator Low-Frequency Acoustic Attenuator |
| title_fullStr | Embedded Rough-Neck Helmholtz Resonator Low-Frequency Acoustic Attenuator |
| title_full_unstemmed | Embedded Rough-Neck Helmholtz Resonator Low-Frequency Acoustic Attenuator |
| title_short | Embedded Rough-Neck Helmholtz Resonator Low-Frequency Acoustic Attenuator |
| title_sort | embedded rough neck helmholtz resonator low frequency acoustic attenuator |
| topic | acoustic metamaterials Helmholtz resonator parameter optimization pipeline noise |
| url | https://www.mdpi.com/2073-4352/15/1/12 |
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