PulseExploreJournal ClubDebatesTrendingResearchersJournals
Instagram
HomeExploreJournal ClubTrending
Synapse
⌘+K
Synapse
March 1, 2026Aerospace0 citationsOpen Access

Analysis and Optimization of the Wide-Speed-Range Aerodynamic Characteristics of SR-72-like Vehicles

View Full Paper
CFChao FengFHFangzhou HeBDBingchen Du

Key Points

  • The study aims to analyze the aerodynamic characteristics and optimize the design of the SR-72-like vehicle.
  • Conducted a comprehensive review of publicly available data
  • Employed 3D modeling software for vehicle reconstruction
  • Generated a computational mesh for numerical simulations
  • Performed simulations across multiple flight regimes from subsonic to high-Mach-number
  • Vehicle shows high maneuverability in subsonic conditions with a stall angle of attack of 24°
  • Significant wave drag is noted during transonic flight
  • At Mach 6, the vehicle exhibits excellent wave-riding performance and improved fuel efficiency
  • Drag coefficient reduced by 40% through the optimization process

Abstract

Recently, the United States unveiled a conceptual design of an unmanned high-speed vehicle, the SR-72, which boasts a maximum flight speed of Mach 6, enabling rapid airspace dominance and superior combat performance. To this end, this study conducted a comprehensive review of publicly available data and employed 3D modeling software to reconstruct the SR-72 configuration, utilizing the supersonic thin airfoil NACA 16006 for the wing design. Subsequently, a meticulously structured computational mesh was generated. Numerical simulations were conducted across subsonic, transonic, supersonic, and high-Mach-number flow regimes. The results reveal that the vehicle exhibits high maneuverability in subsonic conditions, with a stall angle of attack reaching 24°. In transonic conditions, significant wave drag is observed, while, in supersonic and high-Mach-number flow regimes at Mach 6, the vehicle demonstrates excellent wave-riding performance, enabling extended cruise durations and improved fuel efficiency. Furthermore, the initial airfoil was optimized using the CST (Class-Shape Transformation) parameterization method and the SLSQP (Sequential Least Squares Programming) algorithm. Under the given constraints, the drag coefficient was reduced by 40%, demonstrating a significant optimization effect.

Ask AI
Helpful
Bookmark
Share
View Full Paper

Cite This Study

Feng et al. (2026) studied this question.

synapsesocial.com/papers/69a3d800ec16d51705d2e84chttps://doi.org/10.3390/aerospace13030220
Ask AI
Helpful
Bookmark
Share
View Full Paper