PulseExploreJournal ClubDebatesTrendingResearchersJournals
Instagram
HomeExploreJournal ClubTrending
Synapse
⌘+K
Synapse
March 14, 2026Aerospace0 citationsOpen Access

Reynolds Number Effect of a Supercritical Wing Based on Cryogenic and High Reynolds Number Pressure Test

View Full Paper
BHBaobin HouYCYanru ChenJCJinyan Cai

Key Points

  • The aim is to study how variations in Reynolds number impact aerodynamic characteristics of supercritical wings.
  • Conducted cryogenic high Reynolds number pressure tests in the European Transonic Wind Tunnel
  • Used a 1:17.87 scale wing-body model of a supercritical wing
  • Increased the Reynolds number from 2.3 × 10^6 to 3.5 × 10^7
  • Isolated model deformation effects to analyze pure Reynolds number outcomes
  • Examined lift characteristics, pressure distribution, and pitching moment with varying Reynolds number
  • Lower speeds showed a lesser impact of Reynolds number on the supercritical wing's performance.
  • The upper wing surface was significantly more affected by Reynolds number than the lower surface.
  • Reynolds number effects were most pronounced in the transonic regime, delaying shock wave onset.
  • Key aerodynamic parameters such as ΔCL, α0, and Cm have a linear relationship with the logarithm of Reynolds number.
  • Low Reynolds number results cannot be directly applied to real flight conditions, emphasizing the need for design adjustments.

Abstract

Supercritical wings are widely used in large aircraft due to their excellent transonic performance, but their aerodynamic characteristics are highly sensitive to Reynolds number. To systematically study the influence of Reynolds number on the aerodynamic characteristics of a supercritical wing, cryogenic high Reynolds number pressure measurement tests were conducted in the European Transonic Wind Tunnel (ETW). A 1:17.87 scale wing-body combination model of a typical supercritical wing was employed. The Reynolds number was increased via the pressure increase and cooling technique, covering a test Reynolds number range from 2.3 × 106 to 3.5 × 107. Model deformation effects were isolated to obtain pressure data reflecting pure Reynolds number effects. The variation patterns of pressure distribution, lift characteristics, and pitching moment characteristics with Reynolds number were analyzed. The results indicate that, at lower speeds (Ma = 0.4 and 0.6), the supercritical wing is less affected by Reynolds number; the upper surface is more significantly influenced by Reynolds number than the lower surface; the Reynolds number effect primarily manifests in the transonic regime by delaying the onset position of the shock wave on the upper wing surface, thereby affecting aerodynamic force characteristics; several aerodynamic characteristic parameters such as ΔCL, α0, and Cm exhibit a linear relationship with the logarithm of Reynolds number. Experimental results obtained at low Reynolds numbers cannot be directly extrapolated to actual flight conditions, necessitating the consideration of Reynolds number effect in the aerodynamic design optimization of large aircraft.

Ask AI
Helpful
Bookmark
Share
View Full Paper

Cite This Study

Hou et al. (2026) studied this question.

synapsesocial.com/papers/69b4fc1fb39f7826a300cc0chttps://doi.org/10.3390/aerospace13030265
Ask AI
Helpful
Bookmark
Share
View Full Paper

Also Consider

Synapse has enriched 5 closely related papers on similar clinical questions. Consider them for comparative context:

  1. 1Strategy tuning of synthetic jet control over supercritical airfoil based on deep reinforcement learning2025 · 6 citations
  2. 2Experimental investigations on the effects of divergent trailing edge and Gurney flaps on a supercritical airfoil2006 · 43 citations
  3. 3Experimental Study of Shock Oscillation over a Transonic Supercritical Profile2009 · 298 citations
  4. 4Summary Data from the Sixth AIAA CFD Drag Prediction Workshop: CRM Cases2017 · 142 citations
  5. 5Morphing of a supercritical wing by means of trailing edge deformation and vibration at high Reynolds numbers: Experimental and numerical investigation2019 · 42 citations