Computational Fluid Dynamics for Efficient Transmission Loss Prediction in Silencers
Keywords:
Computational Fluid Dynamics (CFD), Muffler Design, Transmission Loss, Acoustic Performance, Exhaust Noise Reduction, Perforated Tube Silencer, Flow and Thermal Analysis.Abstract
The study presents an analysis based on Computational Fluid Dynamics (CFD) to evaluate and optimize the acoustic performance of automotive mufflers by modifying the internal diameter of holes. Three muffler forms with hole diameters of 2 mm, 2.33 mm, and 3 mm were modelled and analysed for their effect on transmission loss (TL), internal pressure, velocity, and temperature distribution. These CFD trials have been able to demonstrate a common trend in which exhaust gas pressure and velocity are maximum at the inlet, decreasing towards the outlet due to internal flow resistance caused by perforated tubes, baffles, and acoustic absorption materials. Temperature decreases as well in this manner, with hot exhaust gases coming in contact with surface areas of cooler mufflers. The largest TL of 11.767 dB was recorded for a hole diameter of 3 mm, showing good suppression of noise while maintaining flow efficiency. Comparison of these results is closely corroborated with the reference data from Kashikar et al. (2021), which affirms the CFD approach employed here. It says that fine tuning the internal geometry of a muffler can lead to considerable exploration in noise reduction performance. CFD turns out to be an effective tool to predict acoustic behaviour and allow efficient virtual prototype development and less dependence on physical testing. The results favour the optimized design of mufflers for better performance, efficacy in complying with noise regulation standards, and improved acoustic comfort for vehicles.
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