Please use this identifier to cite or link to this item: https://hdl.handle.net/10356/152918
Title: Collision severity evaluation of generalized unmanned aerial vehicles (UAVs) impacting on aircraft engines
Authors: Sivakumar, Anush Kumar
Mohd Hasrizam Che Man
Liu, Hu
Low, Kin Huat
Keywords: Engineering::Aeronautical engineering::Accidents and air safety
Issue Date: 2021
Source: Sivakumar, A. K., Mohd Hasrizam Che Man, Liu, H. & Low, K. H. (2021). Collision severity evaluation of generalized unmanned aerial vehicles (UAVs) impacting on aircraft engines. 2021 International Conference on Unmanned Aircraft Systems (ICUAS), 1240-1247. https://dx.doi.org/10.1109/ICUAS51884.2021.9476872
Abstract: This paper is devoted to investigating the collision severity of generalized UAVs impacting aircraft engines. The peak impact force and fracture of the CFM56 engine blades were evaluated using FEM and Explicit Dynamics simulations on ABAQUS. In this study, Multiple Linear Regression (MLR) analysis was performed to obtain appropriate dimensions for the modelling of quadcopter UAVs. Maximum Take-off Mass (MTOM) values of 0.5kg, 1kg, 2kg were assigned based on dimensional analyses from 39 commercial UAVs. For the simulation, parametric variations in MTOM, aircraft speed of UAV, and rotational speed of engine fan blades were adopted. Results indicated that contact forces to the blades due to collision were more severe with UAV MTOM of 1 kg and above. This was prominent in the most severe case, with the UAV camera having a head-on collision with a fan blade. However, it was notable that simulations were case-dependent as the UAV trajectory and point of collision varies for each scenario. Further studies are required to consider the influence of various UAV trajectories and component level sizing on the engine collision severity.
URI: https://hdl.handle.net/10356/152918
ISSN: 2575-7296
DOI: 10.1109/ICUAS51884.2021.9476872
Rights: © 2021 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/ICUAS51884.2021.9476872.
Fulltext Permission: open
Fulltext Availability: With Fulltext
Appears in Collections:ATMRI Conference Papers
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