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Official PDF TranslationJournal of Central South University

Flow optimization and aerodynamic noise reduction of high-speed maglev trains based on air blowing/sucking

Authors: HUANG Sha; LIN Jin-rong; LI Zhi-wei; TAN Xiao-ming; BIN Xue-li; WANG Chen-ao; LIN Ren-kun

DOI: 10.1007/s11771-025-6145-6Status: Verified Translated Edition
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Key Findings in This Report

• Air blowing in the transition region (Scheme 1) at 0.1U achieves optimal noise reduction of 1.53 dB(A) by suppressing wake vortices. • Air blowing in the side edge area (Scheme 2) is effective across a wide speed range (0.1U–0.5U) for noise mitigation. • Air sucking is less effective than blowing, with noise reduction values below 0.84 dB(A). • Simultaneous reductions in aerodynamic noise and drag are possible with specific blowing/sucking configurations, offering design insights for low-noise and low-resistance HSMTs.