Digital Twin AeroEngine

Aims & Scope

This session explores cutting-edge digital twin methodologies for aero-engine systems, emphasizing theoretical advancements, practical applications, and future directions. It highlights strategies for improving reliability, predictive maintenance, lifecycle management, and noise reduction through digital twin technologies.                                

The session will focus on the following points

• Digital twins for aero-engine health monitoring
• AI-driven reliability modeling and uncertainty quantification
• Data-model integration for real-time reliability prediction
• Lifecycle management and prognostics
• Physics-informed AI methods
• Aeroacoustic modeling and noise prediction
• Pipe flow noise analysis and mitigation
• Case studies and industrial applications

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Your valuable insights are welcome! 

We cordially invite interested researchers to contact us for details and presentation applications at: secretariat@idea-global.net