Results 1 to 10 of about 21,903,266 (275)

Numerical Study on the Aerodynamic Performance of a UAV S-Shaped Inlet with Grilles

Aerospace
This investigation designs grilles of two configurations inside an S-shaped inlet for UAVs. The present work numerically investigates the effects of the configurations, numbers, diameters, and lengths of the grilles on the inlet aerodynamic performance ...
Huijun Tan, Liming Yang, Zhenlong Wu
exaly   +5 more sources

Numerical simulation of S-shaped inlet under the intake total pressure distortion [PDF]

MATEC Web of Conferences, 2022
During the development of the stealth fighter, the S-shaped inlet enters the designer’s vision because it has better stealth than bump inlet and straight inlet. During the use of the S-shaped inlet, due to its structural reasons, secondary flow is likely
Liu Ying, Zhang Xiaobo, Yu Yang, Yan Bingkun, Cai Congrui, Wu Bateng   +5 more
doaj   +3 more sources

Numerical Analysis of Effect of Boundary Layer Characteristics on the Flow Field in S-shaped Inlet [PDF]

MATEC Web of Conferences, 2015
In order to explore the effect of boundary layer thickness and pressure gradient on the performance of the flow field in the inlet, we design a high offset rate S-shaped inlet based on a certain unmanned aerial vehicle (UAV), and its author has analyzed ...
Ren Jia, Wu Naiming, Li Mingzhen, Hu Qiyang, Liu He   +4 more
doaj   +4 more sources

Numerical Investigation of Dorsal S-Shaped Inlet Flow Characteristic and Effects of Related Parameters [PDF]

Xibei Gongye Daxue Xuebao, 2019
The air intake design system of the dorsal intake combined with the S-shaped inlet has been widely used in various combat aircraft due to its good stealth characteristics.
Hongyin Jia, Guiyu Zhou, Jing Tang, Xiaojun Wu, Mingsheng Ma   +4 more
doaj   +3 more sources

Aerodynamic–Stealth Optimization of an S-Shaped Inlet Based on Co-Kriging and Parameter Dimensionality Reduction

Aerospace
Aiming at the challenges of high dimensionality in both design variables and optimization objectives, along with high computational resource consumption in the multi-disciplinary optimization of aerodynamic and stealth performance for an unmanned aerial ...
Dezhao Hu, Gaowei Jia, Xixiang Yang, Zheng Guo   +3 more
exaly   +5 more sources

A Ventral Diverterless High Offset S-shaped Inlet at Transonic Speeds [PDF]

Chinese Journal of Aeronautics, 2008
AbstractAn investigation on the ventral diverterless high offset S-shaped inlet is carried out at Mach numbers from 0.600 to 1.534, angles of attack from −4° to 9.4°, and yaw angles from 0° to 8°. Results indicate: (1) a large region of low total pressure exists at the lower part of the inlet exit caused by the counter-rotating vortices in the S-shaped
Wenzhong, Xie, Rongwei, Guo
exaly   +3 more sources

Numerical Analysis of the Effect of S-Shaped Duct Key Geometry Parameters on the Inlet Distortion of Distributed Ducted Fans

Aerospace
Distributed propulsion systems are strategically placed along the aircraft wingspan to ingest the fuselage boundary layer, thereby enhancing propulsion efficiency.
Wei Jia, Guanghui Li, Tao Liu, Qingguo Kong, Shuiting Ding   +4 more
doaj   +3 more sources

Study on the Effects of Inflow Conditions on the Inlet Performance of a Dorsal S-Shaped Inlet

Aerospace
As an important aerodynamic configuration of the new-generation UAV, the dorsal S-shaped inlet’s performance is affected by the complex coupling of inflow conditions and the boundary layer ingestion effect.
Meng Cao, Daxin Liao, Hexiang Wang, Neng Xiong, Fangji Li, Dawei Liu, Ce Zhang, Jie Chen, Yang Tao   +8 more
doaj   +2 more sources

Aeroelastic Effects on the Internal Flow Characteristics and Performance of the S-Shaped Inlet Duct

Applied Sciences
The S-shaped inlet is increasingly used in modern aviation for its compact layout and stealth benefits, but its complex geometry induces strong pressure gradients and secondary flows that impact performance. Existing studies on S-shaped inlets are mostly
Daxin Liao, Hexiang Wang, Neng Xiong, Fangji Li, Dawei Liu, Ce Zhang, Yang Tao   +6 more
doaj   +2 more sources

Research on Parameter Prediction Model of S-Shaped Inlet Based on FCM-NDAPSO-RBF Neural Network

Aerospace
To address the inefficiencies of traditional numerical simulations and the high cost of experimental validation in the aerodynamic–stealth integrated design of S-shaped inlets for aero-engines, this study proposes a novel parameter prediction model based
Ye Wei, Lingfei Xiao, Xiaole Zhang, Junyuan Hu, Jie Li   +4 more
doaj   +2 more sources