Please use this identifier to cite or link to this item: https://hdl.handle.net/10356/155374
Title: Severity assessment of aircraft engine fan blades under airborne collision of unmanned aerial vehicles comparable to bird strike certification standards
Authors: Mohd Hasrizam Che Man
Hu, Liu
Low, Kin Huat
Keywords: Engineering::Aeronautical engineering::Accidents and air safety
Engineering::Mathematics and analysis::Simulations
Issue Date: 2021
Source: Mohd Hasrizam Che Man, Hu, L. & Low, K. H. (2021). Severity assessment of aircraft engine fan blades under airborne collision of unmanned aerial vehicles comparable to bird strike certification standards. Proceedings of the Institution of Mechanical Engineers, Part G: Journal of Aerospace Engineering. https://dx.doi.org/10.1177/09544100211044909
Journal: Proceedings of the Institution of Mechanical Engineers, Part G: Journal of Aerospace Engineering 
Abstract: Airborne drone collision on commercial manned aircraft has received extensive awareness due to the increasing drone operations in the restricted airspace. In addition, the bird strike certification for aircraft engines is likely to be inadequate for a drone collision with identical kinetic energy due to the difference in damage levels. Thus, it is important to understand and compare the risk between drones and bird strikes. This study aims to understand the damage severity from bird and drone strikes on the manned commercial aircraft engine. The Finite Element Method (FEM) simulation is adopted to obtain the damage of engine fan blades under the drone collision and bird strikes at different collision positions. The Lagrangian and Smooth Particle Hydrodynamics (SPH) approaches are employed for the drone and bird simulations, respectively. In addition, three different drone and bird weight categories were considered in this study, namely small, medium, and large, to investigate the effect of kinetic energy on the damage of fan blades. Results from the FEM simulation demonstrated that the damage of the engine fan blades due to drone collisions were more severe when comparing bird strikes of the same weight category. The damage severity level was proposed based on the damage of engine fan blades. In the event of a drone ingestion, the damage severity level assists in the identification of potential damage to engine fan blades and its performance.
URI: https://hdl.handle.net/10356/155374
ISSN: 0954-4100
DOI: 10.1177/09544100211044909
Rights: © 2021 IMechE. All rights reserved. This paper was published in Proceedings of the Institution of Mechanical Engineers, Part G: Journal of Aerospace Engineering and is made available with permission of IMechE.
Fulltext Permission: open
Fulltext Availability: With Fulltext
Appears in Collections:ATMRI Journal Articles
MAE Journal Articles

Files in This Item:
File Description SizeFormat 
Severity assessment of aircraft engine fan blades.pdf3.2 MBAdobe PDFThumbnail
View/Open

Page view(s)

42
Updated on May 18, 2022

Download(s)

15
Updated on May 18, 2022

Google ScholarTM

Check

Altmetric


Plumx

Items in DR-NTU are protected by copyright, with all rights reserved, unless otherwise indicated.