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

Key Points

• Aerodynamic noise reduction is achieved through efficient flow optimization techniques using air blowing and sucking.
• A 20% decrease in noise levels was observed during tests conducted on high-speed maglev trains under various conditions.
• The assessment utilized experimental flow optimization methods to evaluate noise impact across different train speeds and designs.
• This study highlights potential advancements for high-speed transport, emphasizing the need for further examination of full-scale implementations.