Please use this identifier to cite or link to this item: http://hdl.handle.net/2080/5282
Title: Towards Smart Tribological Systems: AI-Based Analysis of Gas Foil Bearings in Turbomachinery
Authors: Priyadarshini, S.
Behera, S.K.
Keywords: Gas Foil Bearings (GFBs)
Foil bearing systems
Aerospace propulsion
Microturbines
Issue Date: Jul-2025
Citation: Applied Materials & Interfaces Conference (AMIC), NTU Singapore, 3-5 July 2025
Abstract: Gas Foil Bearings (GFBs) have emerged as essential components in modern high-speed, oil-free rotating machinery, driven by demands for higher efficiency, lower maintenance, and environmental sustainability. However, their dynamic performance is highly sensitive to wear, thermal loading, and transient events such as rotor imbalances and high-speed start-ups. To address these challenges, the integration of AI into GFBs represents a promising advancement in industries. This paper presents a conceptual and technological review of smart Gas Foil Bearings incorporating AI. The potential benefits of smart GFBs—performance optimization—are useful for critical applications such as aerospace propulsion, microturbines. Key technological challenges, ….with future research directions to enable the next generation foil bearing systems.
Description: Copyright belongs to the proceeding publisher.
URI: http://hdl.handle.net/2080/5282
Appears in Collections:Conference Papers

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