| Citation: | WU Fei, SUN Dongliang, TANG Xiaolong, et al. Particle swarm-based aerodynamic and aeroacoustic optimization of exhaust volute[J]. Journal of Aerospace Power, 2025, 40（10）：20240037 doi: 10.13224/j.cnki.jasp.20240037
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Optimization was conducted to improve the aerodynamic and aeroacoustic performances of a given exhaust volute by particle swarm optimization and Pareto front. By taking the given external dimensions as constraints, a parameterized model of the exhaust volute was established, and aerodynamic parameters such as the total pressure loss, the static pressure recovery and multi-angle-averaged overall sound pressure level were set as the performance indicators. The RANS (Reynolds-averaged Navier-Stokes) method was employed for the prediction of aerodynamic performances. At the same time, based on the sound generation characteristics of the exhaust volute, the exhaust process was analogized to a subsonic jet, and its acoustic performance was predicted using the Tam-Auriault model. The results showed that: ① the particle swarm algorithm was efficient and robust for parameterized optimization; after six rounds of optimization, the total pressure loss coefficient at the outlet of the exhaust volute was reduced by 35%, and the static pressure recovery coefficient was increased by 79%; ② there existed a conflict between the aerodynamic and aeroacoustic performances, the comprehensive aerodynamic and aeroacoustic optimization managed to reduce the total pressure loss coefficient by 20%, and the static pressure recovery coefficient increased by 48%, with a comprehensive noise increment about 1 dB; if the aeroacoustic performance optimization was considered, the noise reduction can be up to 3 dB.
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