Please use this identifier to cite or link to this item: https://hdl.handle.net/10356/148349
Title: Preliminary evaluation of thrust loss in commercial aircraft engine due to airborne collision with Unmanned Aerial Vehicles (UAVs)
Authors: Mohd Hasrizam Che Man
Liu, Hu
Ng, Bing Feng
Low, Kin Huat
Keywords: Engineering::Aeronautical engineering::Accidents and air safety
Issue Date: 2020
Source: Mohd Hasrizam Che Man, Liu, H., Ng, B. F. & Low, K. H. (2020). Preliminary evaluation of thrust loss in commercial aircraft engine due to airborne collision with Unmanned Aerial Vehicles (UAVs). 2020 International Conference on Unmanned Aircraft Systems (ICUAS), 1-8. https://dx.doi.org/10.1109/ICUAS48674.2020.9214048
Conference: 2020 International Conference on Unmanned Aircraft Systems (ICUAS)
Abstract: This paper is devoted to investigating the influence of UAVs airborne collision with civil aircraft engine on the operation safety of commercial aircraft. The damage levels of the civil aircraft fan blades and compressor blades during the UAVs airborne collision are both evaluated based on the Finite Element Method (FEM) simulation. Besides, the percentage of the engine thrust loss can be estimated by the reduction of pressure ratio throughout the engine using Computational Fluid Dynamics (CFD) simulation. In our study, it is found that UAVs ingestion at approach flight phase has the highest UAVs debris weight of 80g which can cause most severe damage to aircraft Inlet Guide Vane (IGV) Low Pressure Compressor (LPC) blades. This thrust loss can reach up to 75% when the damage of High Pressure Compressor (HPC) blades is included in the analysis. More simulations are will be carefully carried out to check the reliability of this conclusion, in which the influence of secondary level of damage especially IGV blades debris impact on HPC blades are considered.
URI: https://hdl.handle.net/10356/148349
ISSN: 2575-7296
DOI: 10.1109/ICUAS48674.2020.9214048
Research Centres: Air Traffic Management Research Institute 
Rights: © 2020 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works. The published version is available at: https://doi.org/10.1109/ICUAS48674.2020.9214048
Fulltext Permission: open
Fulltext Availability: With Fulltext
Appears in Collections:ATMRI Conference Papers

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