Aerodynamic Optimization of Flight Wing

A special issue of Aerospace (ISSN 2226-4310). This special issue belongs to the section "Aeronautics".

Deadline for manuscript submissions: 31 March 2026 | Viewed by 11

Special Issue Editors


E-Mail Website
Guest Editor
School of Aerospace Engineering, Xi'an Jiaotong University, Xi'an, China
Interests: laminar flow drag reduction; aircraft design; robust design optimization; uncertainty quantification

E-Mail Website
Guest Editor
School of Aerospace Engineering, Xi'an Jiaotong University, Xi'an, China
Interests: aircraft design; reliability analysis and design; uncertainty quantification

Special Issue Information

Dear Colleagues,

Aerodynamic performance is a core determinant of fuel efficiency, flight safety, and mission adaptability in aircraft. In the context of the aviation industry’s transition toward low-carbon operations, high economic efficiency, and broad mission envelopes—together with aerospace engineering breakthroughs in high reliability and reusability—aerodynamic optimization has become a critical link in the aircraft design chain.

This Special Issue of Aerospace highlights cutting-edge research in aerodynamic optimization across a range of aerospace systems, including unmanned aerial vehicles, commercial airliners, propeller-driven aircraft, and reusable spacecraft. The aerodynamic design of such complex configurations presents multiple challenges, including robust design optimization under uncertainty, integrated aerodynamic optimization of airframe-propulsion systems, global drag reduction optimization of laminar wings, and unsteady interference–coupling optimization between propellers and wings.

This Special Issue emphasizes practical breakthroughs in aerodynamic optimization methods, focusing on robust optimization techniques, efficient optimization strategies, and AI-driven optimization approaches. The diversification of aircraft configurations and the increasing complexity of flow fields continue to raise the difficulty of aerodynamic optimization design, posing major challenges for optimization algorithms—particularly in convergence efficiency—and for balancing accuracy and computational speed in computational fluid dynamics (CFD) modeling.

To advance progress in this field, the Editors invite contributions that address these challenges in aerodynamic optimization of aerospace vehicles and propose new theories for robust and efficient optimization.

Dr. Yayun Shi
Dr. Kaixuan Feng
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 100 words) can be sent to the Editorial Office for announcement on this website.

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-blind peer-review process. A guide for authors and other relevant information for submission of manuscripts is available on the Instructions for Authors page. Aerospace is an international peer-reviewed open access monthly 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

  • robust design optimization
  • computational fluid dynamics
  • aerodynamic optimization
  • AI-based modeling
  • optimization algorithm
  • uncertainty quantification
  • efficient optimization strategy
  • gradient-based optimization
  • heuristic algorithms
  • drag reduction optimization
  • hypersonic aerodynamic modeling
  • full-mission cycle aerospace aerodynamic optimization

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.

Published Papers

This special issue is now open for submission.
Back to TopTop