Vibro-acoustic analysis of coupled tyre model of acoustic cavity and tread structure

Ebrahimi-Nejad, Salman; Karimyan, Amir

doi:10.1504/ijvnv.2017.10010556

Cited by 3 publications

(1 citation statement)

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“…The vehicle engine is a key source of noise and produces undesirable sound and vibration. Mufflers are designed to damp this sound and vibration [1,2]. Although composite and iron sheet materials surround the engine compartment, sound cannot be reduced completely.…”

Section: Introductionmentioning

confidence: 99%

Dual-target-frequency-range stop-band acoustic metamaterial muffler: acoustic and CFD approach

Kheybari¹,

Ebrahimi-Nejad²

2021

Eng. Res. Express

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Acoustic metamaterials can control, direct, and manipulate sound waves, hence, they attract more researchers' attention in the field of automotive, aerospace, and architecture to reduce noise levels. Here, vehicle exhaust noise is investigated through finite element simulation. In this study, an improved muffler is proposed to affect the transmission loss. In the case of acoustic performance, we first designed the acoustic metamaterial baffles (AMBs) with locally resonant structures in order to reduce the noise level in the desired frequency range; a desired frequency range was targeted to be affected by tuned resonators. For describing AMBs, four models were designed to obtain transmission loss peaks and stop-band behavior at the dual-target-frequency range. Hence, in order to prove the effectiveness of the proposed muffler, they were compared with conventional mufflers. Results indicated that AMBs improve the muffler transmission loss by up to 89 dB. The combination of resonators and their configurations, as well as spacing of the AMBs, play a significant role in affecting the transmission loss peak. At the end, to observe and show the actual performance of the proposed acoustic metamaterial muffler, essential aspects like pressure drop and flow are obtained using computational fluid dynamics (CFD) software, and highly reasonable and realistic results are achieved.Nomenclature

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Section: Introductionmentioning

confidence: 99%