All Research Papers Published In Aerospace Systems

Research Article
10.1007/s42401-024-00323-z

Analysis of computational schemes for calculating gradient of fluid dynamic quantities on various grids

Oct 08, 2024
Aerospace Systems
Andrey Kozelkov + 3 more +3

Research Article
2
10.1007/s42401-024-00314-0

Contemporary architecture of the satellite Global Ship Tracking (GST) systems, networks and equipment

Sep 06, 2024
Aerospace Systems
Dimov Stojce Ilcev

Research Article
6
10.1007/s42401-024-00318-w

Data-driven dynamic health index construction for diagnosis and prognosis of Engine Bleed Air system

Aug 22, 2024
Aerospace Systems
Yilin Wang + 5 more +5

Research Article
12
10.1007/s42401-024-00309-x

Application of digital image correlation in aerospace engineering: structural health monitoring of aircraft components

Jul 02, 2024
Aerospace Systems
Ravindra Mallya + 3 more +3

Digital Image Correlation (DIC) is a vital optical measurement technique that finds diverse applications in the domain of mechanics of materials. In aerospace applications, DIC has excellent scope in structural health monitoring of aircraft components. Aircraft wings, one of the critical components are subjected to different loads during flight. Ground testing and In-flight testing of wings can benefit substantially by DIC monitoring. DIC can be utilized to analyze the time-based variation in the speckle pattern or grid, applied to the wing’s surface. High-resolution images processed through a suitable correlation software helps decipher the data into stress and strain contours. Thus, any potential material failure or component defects can be identified. DIC also finds a role in flutter analysis, enabling the scrutiny of wing vibrations and deformations. In this review, the applications of DIC in analysis of aircraft components has been taken up, as in-flight structural health monitoring is a critical activity for a safe flight.

Research Article
9
10.1007/s42401-024-00301-5

A survey on synthetic jets as active flow control

May 08, 2024
Aerospace Systems
D Sai Naga Bharghava + 2 more +2

Research Article
1
10.1007/s42401-024-00287-0

Applications of deep learning to selected aerospace systems

Apr 08, 2024
Aerospace Systems
Hossain Noman + 1 more +1

Research Article
1
10.1007/s42401-024-00281-6

Bayesian inference of airfoil icing condition from simulated ice shapes

Mar 21, 2024
Aerospace Systems
Xinyu Zhong + 3 more +3

Research Article
10.1007/s42401-023-00266-x

Modeling of the stress–strain responses and deformation patterns of superelastic NiTi tubes subjected to biaxial loadings

Jan 04, 2024
Aerospace Systems
Mingxun Wu + 1 more +1

Research Article
1
10.1007/s42401-023-00257-y

Study of wedge-shaped Jet tabs for effective Thrust vector control in Supersonic vehicles

Dec 08, 2023
Aerospace Systems
V M Jyothy + 2 more +2

Research Article
8
10.1007/s42401-023-00260-3

Developing a novel battery management algorithm with energy budget calculation for low Earth orbit (LEO) spacecraft

Dec 08, 2023
Aerospace Systems
Mohamed Ahmed Mokhtar + 3 more +3