The fundamental operation of turbomachines is governed by fluid dynamics, thermodynamics, and rotor dynamics. Over the decades, advancements in computational fluid dynamics (CFD), materials science, and manufacturing technologies have significantly enhanced the performance, reliability, and efficiency of turbomachinery. However, the increasing demand for higher efficiency, lower emissions, and greater operational flexibility continues to drive research in the field.

Recent research focuses on areas such as aerodynamic optimization, blade cooling techniques, noise reduction, and real-time condition monitoring using sensors and data analytics. Moreover, with the global emphasis on sustainable energy, there is growing interest in improving the integration of turbomachinery with renewable energy systems and developing environmentally friendly working fluids.

Despite the extensive research and development efforts, challenges such as flow instability, fatigue failure, and efficiency losses due to leakage and secondary flows remain. Addressing these issues requires multidisciplinary approaches combining experimental investigations, high-fidelity simulations, and machine learning-based predictive models.

Therefore, research in turbomachinery remains vital for advancing energy conversion technologies and supporting the transition to cleaner and more efficient energy systems.

This research topic aims to present a curated collection of high-quality articles focusing on the latest advances in turbomachinery, including design methodologies, aerodynamic and thermodynamic optimization, materials and cooling technologies, digital twins, and AI-driven diagnostics. Emphasis will be placed on contributions that address current industry challenges and future trends, including hydrogen and hybrid propulsion, ultra-high-efficiency cycles, and additive manufacturing in turbomachinery components.

We invite original research on the following (but not limited to):

• Advanced turbomachinery aerodynamics and thermodynamics
• Multi-objective optimization and topology optimization in turbomachinery
• High-fidelity CFD, LES/DNS, and reduced-order modeling approaches
• Heat transfer enhancement and blade cooling technologies
• High-temperature materials and thermal barrier coatings
• Unsteady flows, stall/surge dynamics, and acoustic performance
• Digital twin development and AI/ML applications in performance prediction
• Materials development for high-temperature components
• Noise reduction and flow control strategies
• Additive manufacturing and design for manufacturability
• Sustainable fuels (e.g., hydrogen, ammonia) and decarbonization pathways
• Turbomachinery for hybrid-electric and distributed propulsion systems
• System integration and techno-economic assessments
• Lifecycle assessment and sustainability metrics in turbomachinery systems

Are you interested in contributing a manuscript to this Research Topic?

Advances in Design, Optimization, and Performance of Turbomachinery for Sustainable Power and Propulsion