Collision severity evaluation of generalized unmanned aerial vehicles (UAVs) impacting on aircraft engines
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 w...
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sg-ntu-dr.10356-1529182021-10-23T20:10:18Z Collision severity evaluation of generalized unmanned aerial vehicles (UAVs) impacting on aircraft engines Sivakumar, Anush Kumar Mohd Hasrizam Che Man Liu, Hu Low, Kin Huat School of Mechanical and Aerospace Engineering 2021 International Conference on Unmanned Aircraft Systems (ICUAS) Air Traffic Management Research Institute Engineering::Aeronautical engineering::Accidents and air safety Drone Engine Ingestion Airborne Collision Finite Element Method Simulation 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. Civil Aviation Authority of Singapore (CAAS) Nanyang Technological University Accepted version This research is supported by the Civil Aviation Authority of Singapore and the Nanyang Technological University, Singapore under their collaboration in the Air Traffic Management Research Institute. Any opinions, findings and conclusions or recommendations expressed in this material are those of the authors and do not reflect the views of the Civil Aviation Authority of Singapore. 2021-10-20T06:41:41Z 2021-10-20T06:41:41Z 2021 Conference Paper 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 2575-7296 https://hdl.handle.net/10356/152918 10.1109/ICUAS51884.2021.9476872 1240 1247 en © 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. application/pdf |
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Engineering::Aeronautical engineering::Accidents and air safety Drone Engine Ingestion Airborne Collision Finite Element Method Simulation Sivakumar, Anush Kumar Mohd Hasrizam Che Man Liu, Hu Low, Kin Huat Collision severity evaluation of generalized unmanned aerial vehicles (UAVs) impacting on aircraft engines |
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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. |
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School of Mechanical and Aerospace Engineering |
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School of Mechanical and Aerospace Engineering Sivakumar, Anush Kumar Mohd Hasrizam Che Man Liu, Hu Low, Kin Huat |
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Conference or Workshop Item |
author |
Sivakumar, Anush Kumar Mohd Hasrizam Che Man Liu, Hu Low, Kin Huat |
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Sivakumar, Anush Kumar |
title |
Collision severity evaluation of generalized unmanned aerial vehicles (UAVs) impacting on aircraft engines |
title_short |
Collision severity evaluation of generalized unmanned aerial vehicles (UAVs) impacting on aircraft engines |
title_full |
Collision severity evaluation of generalized unmanned aerial vehicles (UAVs) impacting on aircraft engines |
title_fullStr |
Collision severity evaluation of generalized unmanned aerial vehicles (UAVs) impacting on aircraft engines |
title_full_unstemmed |
Collision severity evaluation of generalized unmanned aerial vehicles (UAVs) impacting on aircraft engines |
title_sort |
collision severity evaluation of generalized unmanned aerial vehicles (uavs) impacting on aircraft engines |
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2021 |
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https://hdl.handle.net/10356/152918 |
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1715201493762572288 |