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2024 | OriginalPaper | Buchkapitel

A Mathematical Modeling of BFRP Laminated Composite Double-Chamber Mufflers Based Acoustic Transmission Loss Optimization

verfasst von : Wael A. Altabey, Mohammad Noori

Erschienen in: Proceedings of the International Conference of Steel and Composite for Engineering Structures

Verlag: Springer Nature Switzerland

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Abstract

The acoustic muffler development depends on optimizing its volume for high performance, it is of great importance in the industrial field to obtain a reduction in duct noise economically and efficiently. The main aim of this work is to optimize analytically the acoustic transmission loss (\({\text{TL}}\)) of the Basalt Fiber Reinforced Polymer laminated composite Double-Chamber Mufflers (BFRP-CDCM) because \({\text{TL}}\) is an essential characteristic of the muffler and is not based on the source or the termination impedances. The power transmission coefficient (\({\text{PTC}}\)) and the \({\text{TL}}\) of a muffler will be calculated. The method used to optimize the length of the acoustic muffler is the genetic algorithms (\({\text{GA}}\)) method. The sound pressure data is obtained from the exact solution of the governing equations of the muffler model in Matlab® software. Many mathematical simulations were performed of varying muffler lengths at multiple frequency ranges simultaneously. The results indicate that the \({\text{TL}}\) is optimized at the desired zone of frequency. This research supports the quick and active approach towards optimal design for BFRP-CDCM in a space constrains.

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Altabey, W.A., Kouritem, S.A., Al-Moghazy, M.A.: A new diagnostic system for damage monitoring of BFRP plates, e-Prime - advances in electrical engineering. Electron. Energy 5, 100258 (2023). https://doi.org/10.1016/j.prime.2023.100258CrossRef

Altabey, W.A., Noori, M., Wu, Z., Al-Moghazy, M.A., Kouritem, S.A.: A deep-learning approach for predicting water absorption in composite pipes by extracting the material’s dielectric features. Eng. Appl. Artif. Intell. 121, 105963 (2023). https://doi.org/10.1016/j.engappai.2023.105963CrossRef

Altabey, W.A., Kouritem, S.A., Abouheaf, M.I., Nahas, N.: A deep learning-based approach for pipeline cracks monitoring. In: IEEE Conference, 2nd International Conference on Electrical, Computer, Communications and Mechatronics Engineering (ICECCME-2022), Maldives (2022). https://doi.org/10.1109/ICECCME55909.2022.9987998

Khatir, A., Capozucca, R., Khatir, S., Magagnini, E.: Vibration-based crack prediction on a beam model using hybrid butterfly optimization algorithm with artificial neural network. Front. Struct. Civ. Eng. 16(8), 976–989 (2022)CrossRef

Khatir, A., et al.: A new hybrid PSO-YUKI for double cracks identification in CFRP cantilever beam. Compos. Struct. 311, 116803 (2023). https://doi.org/10.1016/j.compstruct.2023.116803

Tracor Inc. Guidelines on Noise, American Petroleum Institute, Washington D.C, p. 55 (1973)

Prasad, M.G.: A note on acoustic plane waves in a uniform pipe with mean flow. J. Sound Vibr. 95(2), 284–290 (1984)CrossRef

Altabey, W.A.: An exact solution for acoustic simulation based transmission loss optimization of double-chamber silencer. Sound Vibr. 54, 215–224 (2020). https://doi.org/10.32604/SV.2020.011516

Altabey, W.A., Noori, M., Wu, Z., Al-Moghazy, M.A., Kouritem, S.A.: Studying acoustic behavior of BFRP laminated composite in dual-chamber muffler application using deep learning algorithm. Materials 15(22), 807 (2022). https://doi.org/10.3390/ma15228071CrossRef

10.

Bernhard, R.J.: Shape optimization of reactive mufflers. Noise Control Eng. J. 27(1), 10–17 (1986)CrossRef

11.

Yeh, L.J., Chiu, M.C., Lai, G.J.: Computer aided design on single expansion muffler under space constraints. In: Proceedings of the 19th National Conference on Mechanical Engineering, The Chinese Society of Mechanical Engineers, Hu-wei, Taiwan, C7, pp. 625–633 (2002)

12.

Airaksinen, T., Heikkola, E.: Multiobjective muffler shape optimization with hybrid acoustics modeling. J. Acoust. Soc. Am. 130, 1359 (2011). https://doi.org/10.1121/1.3621119CrossRef

13.

Yu, X., Tong, Y., Pan, J., Cheng, L.: Sub-chamber optimization for silencer design. J. Sound Vibr. 351, 57–67 (2015). https://doi.org/10.1016/j.jsv.2015.04.022CrossRef

14.

Guo, R., Tang, W.: Transfer matrix methods for sound attenuation in resonators with perforated intruding inlets. J. Appl. Acoust. 116, 14–23 (2017). https://doi.org/10.1016/j.apacoust.2016.09.012CrossRef

15.

Yu, X., Cheng, L.: Duct noise attenuation using reactive silencer with various internal configurations. J. Sound Vibr. 335, 229–244 (2015)CrossRef

16.

Oh, K.S., Lee, J.W.: Topology optimization for enhancing the acoustical and thermal characteristics of acoustic devices simultaneously. J. Sound Vibr. 401, 54–75 (2017). https://doi.org/10.1016/j.jsv.2017.04.027CrossRef

17.

Fonseca De Lima, K., Lenzi, A., Barbieri, R.: The study of reactive silencers by shape and parametric optimization techniques. J. Appl. Acoust. 72, 142–150 (2011)CrossRef

18.

Capozucca, R., Khatir, A., Magagnini, E.: Experiences on anchorage systems for FRP rods. In: Capozucca, R., Khatir, S., Milani, G. (eds.) Proceedings of the International Conference of Steel and Composite for Engineering Structures. ICSCES 2022. LNCE, vol. 317, pp. 48–58. Springer, Cham (2022). https://doi.org/10.1007/978-3-031-24041-6_4

19.

Lee, J.W., Jang, G.W.: Topology design of reactive mufflers for enhancing their acoustic attenuation performance and flow characteristics simultaneously. Int. J. Numer. Methods Eng. 91, 552–570 (2012)CrossRef

20.

Lee, J.W.: Optimal topology of reactive muffler achieving target transmission loss values: design and experiment. J. Appl. Acoust. 88, 104–113 (2015)CrossRef

21.

Achouri, F., Khatir, A., Smahi, Z., Capozucca, R., Ouled Brahim, A.: Structural health monitoring of beam model based on swarm intelligence-based algorithms and neural networks employing FRF. J. Braz. Soc. Mech. Sci. Eng. 45(12), 621 (2023). https://doi.org/10.1007/s40430-023-04525-yCrossRef

22.

Oh, K.S., Lee, J.W.: Two-step design process for optimal suction muffler in a reciprocating compressor. J. Mech. Sci. Technol. 29, 269–278 (2015)CrossRef

23.

Yedeg, E.L., Wadbro, E., Berggren, M.: Interior layout topology optimization of a reactive muffler. J. Struct. Multidisc. Optim. 53, 645–656 (2016)MathSciNetCrossRef

24.

Jang, G.W., Lee, J.W.: Topology optimization of internal partitions in a flow-reversing chamber muffler for noise reduction. J. Struct. Multidisc. Optim. 55, 2181–2196 (2017)MathSciNetCrossRef

25.

Khatir, A., Capozucca, R., Magagnini, E., Khatir, S., Bettucci, E.: Structural health monitoring for RC beam based on RBF neural network using experimental modal analysis. In: Capozucca, R., Khatir, S., Milani, G. (eds.) Proceedings of the International Conference of Steel and Composite for Engineering Structures. ICSCES 2022. LNCE, vol. 317, pp. 82–92. Springer, Cham (2022). https://doi.org/10.1007/978-3-031-24041-6_7

26.

Lee, J.K., Oh, S.K., Lee, J.W.: Methods for evaluating in-duct noise attenuation performance in a muffler design problem. J. Sound Vibr. 464, 114982 (2020). https://doi.org/10.1016/j.jsv.2019.114982CrossRef

27.

Selameta, A., Deniab, F.D., Besa, A.J.: Acoustic behavior of circular dual-chamber mufflers. J. Sound Vibr. 265, 967–985 (2003)CrossRef

28.

Selamet, A., Ji, Z.L.: Acoustic attenuation performance of circular expansion chambers with extended inlet/outlet. J. Sound Vibr. 223, 197–212 (1999)CrossRef

Titel: A Mathematical Modeling of BFRP Laminated Composite Double-Chamber Mufflers Based Acoustic Transmission Loss Optimization
verfasst von: Wael A. Altabey
Mohammad Noori
Verlag: Springer Nature Switzerland
Buch: Proceedings of the International Conference of Steel and Composite for Engineering Structures
Print ISBN: 978-3-031-57223-4

Electronic ISBN: 978-3-031-57224-1

Copyright-Jahr: 2024
DOI: https://doi.org/10.1007/978-3-031-57224-1_6

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