Aerodynamic Design and Analysis of Turbomachinery
A special issue of Applied Sciences (ISSN 2076-3417). This special issue belongs to the section "Mechanical Engineering".
Deadline for manuscript submissions: 20 November 2026 | Viewed by 629
Editors
Interests: compressor aerodynamics; flow control
Interests: fictitious domain methods; numerical methods; particle-laden flows; turbulent flows; fluid–structure interaction
Special Issues, Collections and Topics in MDPI journals
Special Issue Information
Dear Colleagues,
The aerodynamic design and analysis of turbomachinery—found in jet engines, gas turbines, and wind turbines—underpin the performance, sustainability, and reliability of modern energy systems. Enhancing aerodynamic efficiency, even marginally, directly translates to reduced fuel consumption, lower CO₂ emissions, and extended lifespans of critical infrastructure. However, challenges like unstable flows, blade losses, and adaptive geometry optimization under extreme operating conditions demand innovative solutions. Traditional computational tools and experimental methods often struggle to resolve multi-scale turbulence, transient phenomena, or real-time adaptability, limiting progress toward decarbonization and operational resilience.
Recent breakthroughs in artificial intelligence (AI) and computational fluid dynamics (CFD) are revolutionizing turbomachinery design. Advanced CFD solvers now capture transient behaviors like surge and tip-vortex shedding, while AI-driven frameworks—such as physics-informed neural networks (PINNs) and reinforcement learning (RL)—enable rapid exploration of design spaces once deemed intractable. These tools address critical gaps. This Special Issue seeks interdisciplinary research that synergizes these advances with experimental insights to push the boundaries of sustainability and efficiency in energy conversion systems.
In this Special Issue, original research articles and reviews are welcome. Research areas may include (but are not limited to) the following:
- Advanced Aerodynamic Design Methodologies: Inverse design, topology optimization, and generative algorithms for blades.
- Unstable Flow Phenomena: Separation control, surge prediction, and active/passive flow stabilization in compressors/expanders.
- AI-Driven Optimization and Predictive Analytics: Reinforcement learning for real-time flow control, surrogate modeling for design space exploration, and physics-informed neural networks (PINNs).
- Sustainability and Green Energy Integration: Emission reduction via aerodynamic shaping, hybrid propulsion systems, and wind turbine wake management.
We look forward to receiving your contributions.
Dr. Mingmin Zhu
Prof. Dr. Zhaosheng Yu
Guest Editors
Manuscript Submission Information
Manuscripts should be submitted online at www.mdpi.com by registering and logging in to this website. Once you are registered, click here to go to the submission form. Manuscripts can be submitted until the deadline. All submissions that pass pre-check are peer-reviewed. Accepted papers will be published continuously in the journal (as soon as accepted) and will be listed together on the special issue website. Research articles, review articles as well as short communications are invited. For planned papers, a title and short abstract (about 250 words) can be sent to the Editorial Office for assessment.
Submitted manuscripts should not have been published previously, nor be under consideration for publication elsewhere (except conference proceedings papers). All manuscripts are thoroughly refereed through a single-anonymized peer-review process. A guide for authors and other relevant information for submission of manuscripts is available on the Instructions for Authors page. Applied Sciences is an international peer-reviewed open access semimonthly journal published by MDPI.
Please visit the Instructions for Authors page before submitting a manuscript. The Article Processing Charge (APC) for publication in this open access journal is 2400 CHF (Swiss Francs). Submitted papers should be well formatted and use good English. Authors may use MDPI's English editing service prior to publication or during author revisions.
Keywords
- aerodynamic design
- turbomachinery
- CFD
- unstable flow
- AI optimization
- machine learning
- sustainability
- wind energy
- noise suppression
- flow control
Benefits of Publishing in a Special Issue
- Ease of navigation: Grouping papers by topic helps scholars navigate broad scope journals more efficiently.
- Greater discoverability: Special Issues support the reach and impact of scientific research. Articles in Special Issues are more discoverable and cited more frequently.
- Expansion of research network: Special Issues facilitate connections among authors, fostering scientific collaborations.
- External promotion: Articles in Special Issues are often promoted through the journal's social media, increasing their visibility.
- Reprint: MDPI Books provides the opportunity to republish successful Special Issues in book format, both online and in print.
Further information on MDPI's Special Issue policies can be found here.
