Ice Accretion on Rotary-Wing Unmanned Aerial Vehicles—A Review Study
Abstract
:1. Introduction
- Compared to a fixed-wing configuration, the flapping, leading, and lagging (lead–lag) of rotating wings cause the behavior of water on the blade surface to be unpredictable;
- The complexity of flow around the blade: (a) The velocity of the flow varies from root to tip of the rotary wing [18]; (b) the impact of complex physics of rotary flow such as the wakes, blade–vortex interaction, and complex turbulence on the ice accretion behavior;
- The surface roughness due to ice accumulation varies significantly across the blade’s surface, which can affect the heat transfer and, eventually, the shape of accreted ice;
- The centrifugal force and the ice-shedding effects near the blade tip are also difficult to model numerically [18].
- They typically lack the altitude required to escape hazardous icing weather [20];
- RWUAV operations require long hovering periods in a single location [20];
- The rotational motion of the rotors results in the formation of more rough and ragged ice structures at the leading edge of propellers, resulting in a considerable increase in profile drag and a reduction in the lift-to-drag ratio, thereby increasing the torque and power requirements;
- The high rotational speed of the rotor generates large values of centrifugal forces, especially near the tips, resulting in ice shedding. The uneven ice distribution caused by shedding leads to rotor imbalance and severe vibrations;
- The periodic changing of the blade profile, sectional angle of attack, and uneven distribution of relative velocities along a rotor blade causes a dramatic variation in ice accretion mass [18] and complicates rotor icing by changing the spanwise surface temperature variations;
- The higher collection efficiency of thin rotor airfoils coupled with high tip speeds makes them accrete ice faster than thicker airfoils of fixed-wing UAVs [21];
- Limitations on battery capacity and weight constraints, along with the propeller’s rotary motion, demand unique ice mitigation systems for RWUAVs;
- The lightweight and thin structure of RWUAVs makes them physically more vulnerable to ice.
2. Ice Accretion on Rotary-Wing UAVs
2.1. Ice Accretion on RWUAVs during Flight Tests
2.2. General Characteristics of RWUAV Ice Accretion Based on Icing Tunnel Experiments
3. Effect of Icing on the Aerodynamic Performance of a Propeller
3.1. Effect of Atmospheric Temperature
3.2. Effect of LWC
3.3. Effect of MVD
3.4. Effect of RPM
3.5. Effect of Free-Stream Velocity
3.6. Effect of Advance Ratio
3.7. Effect of Propeller Diameter
3.8. Effect of Blade Material
3.9. Effect of Angle of Sideslip and Tilt Angle
4. Ice Shedding
5. Analytical Models for Ice Accretion on Propellers
6. Ice Mitigation Methods
7. Summary
- Capability to conduct experiments for a wide range of environmental conditions and angles of attack;
- Facility to measure and calibrate the liquid water content, mean volume diameter, and droplet distribution;
- When using tunnels for rotary-wing structures, special instrumentations are needed to measure the thrust and torque of the propeller, as well as a technique to monitor the power consumption. Monitoring of power consumption is necessary for the optimum design of ice protection systems;
- Instrumentation to measure the vibration of the propeller and the ice shedding frequencies;
- Transient image capturing instruments are needed to photograph the ice shape at every instant, and 3D scanning techniques are needed obtain the ice shapes.
- The numerical model must be capable of modelling the complex flow physics associated with the rotatory motion of propellers;
- The effect of centrifugal forces on water droplets needs to be modelled;
- The model must be capable of addressing the ice shedding phenomenon;
- The capability of existing surface roughness models needs to be validated for RWUAVs, and more reliable models need to be developed;
- The model should be capable of designing various surface characteristics and thermal properties of the substrate.
8. Conclusions
Author Contributions
Funding
Institutional Review Board Statement
Informed Consent Statement
Data Availability Statement
Conflicts of Interest
References
- Grogan, S.; Pellerin, R.; Gamache, M. The use of unmanned aerial vehicles and drones in search and rescue operations—A survey. In Proceedings of the PROLOG 2018, Hull, UK, 26 October 2018. [Google Scholar]
- Aurambout, J.-P.; Gkoumas, K.; Ciuffo, B. Last mile delivery by drones: An estimation of viable market potential and access to citizens across European cities. Eur. Transp. Res. Rev. 2019, 11, 30. [Google Scholar] [CrossRef] [Green Version]
- Goyal, R.; Reiche, C.; Fernando, C.; Serrao, J.; Kimmel, S.; Cohen, A.; Shaheen, S. Urban Air Mobility Market Study; UC Berkeley Library Office of Scholarly Communication Services: Berkeley, CA, USA, 2018. [Google Scholar] [CrossRef]
- Villeneuve, E.; Karmouch, E.; Boulerice, X. Development of a small and transportable de-icing/anti-icing drone-mounted system. Part 1: System design. Drone Syst. Appl. 2022, 10, 155–177. [Google Scholar] [CrossRef]
- Ucgun, H.; Yuzgec, U.; Bayilmis, C. A review on applications of rotary-wing unmanned aerial vehicle charging stations. Int. J. Adv. Robot. Syst. 2021, 18, 17298814211015863. [Google Scholar] [CrossRef]
- Heaphy, M.; Watt, M.; Dash, J.; Pearse, G. UAVs for data collection-plugging the gap. N. Z. J. For. 2017, 62, 23–30. [Google Scholar]
- Federal Aviation Administration. FAA Aerospace Forecasts Fiscal Years 2021–2041; Federal Aviation Administration: Washington, DC, USA, 2021. [Google Scholar]
- Wild, G.; Murray, J.; Baxter, G. Exploring Civil Drone Accidents and Incidents to Help Prevent Potential Air Disasters. Aerospace 2016, 3, 22. [Google Scholar] [CrossRef] [Green Version]
- Williams, K.W. A Summary of Unmanned Aircraft Accident/Incident Data: Human Factors Implications; Federal Aviation Administration Oklahoma City Ok Civil Aeromedical Inst.; Defense Technical Information Center; National Technical Information Service: Springfield, VA, USA, 2004. [Google Scholar]
- Australian Transport Safety Bureau (ATSB). An Analysis of Fixed-Wing and Rotary-Wing Aircraft Accidents Involving Private Operations 2001 to 2005; Aviation Research and Analysis Report B2007/0099, Final; ATSB Transport Safety Investigation Report: Canberra, Australia, 2007. [Google Scholar]
- Botura, G.; Fahrner, A. Icing Detection System-Conception, Development, Testing and Applicability to UAVs. In Proceedings of the 2nd AIAA “Unmanned Unlimited” Conference and Workshop & Exhibit, San Diego, CA, USA, 15–18 September 2003. [Google Scholar] [CrossRef]
- Lundby, T.; Christiansen, M.P.; Jensen, K. Towards a Weather Analysis Software Framework to Improve UAS Operational Safety. In Proceedings of the 2019 International Conference on Unmanned Aircraft Systems (ICUAS), Atlanta, GA, USA, 11–14 June 2019; pp. 1372–1380. [Google Scholar]
- Sørensen, K.L.; Borup, K.; Hann, R.; Bernstein, B.; Hansbø, M. UAV Atmospheric Icing Limitations; Research Report. 2021. Available online: https://www.ubiqaerospace.com/_files/ugd/5cc5ed_0d5872d85a2b4f1caa749eb05e4aeb4c.pdf (accessed on 1 November 2021).
- Dilba, D. Integrating Unmanned Drones and Air Taxis into the Airspace; MTU Aero Engines Ag: Munich, Germany, 2021. [Google Scholar]
- Tramposch, A.; Thomann, M.; Kozomara, D. Determination of Droplet Impingement on an Octocopter at Different Flight and Icing Conditions with Cfd Methods. In Proceedings of the Aiaa Aviation 2021 Forum, Virtual Event, 2–6 August 2021; American Institute of Aeronautics and Astronautics: Fairfax, VA, USA, 2021. [Google Scholar]
- Liu, Y.; Li, L.; Ning, Z.; Hu, H. An Experimental Study on the Transient Ice Accretion Process over the Blade Surfaces of a Rotating UAS Propeller. In Proceedings of the 255th AIAA Aerospace Sciences Meeting, Grapevine, TX, USA, 9–13 January 2017. [Google Scholar]
- Cao, Y.; Chen, K. Helicopter icing. Aeronaut. J. 2010, 114, 83–90. [Google Scholar] [CrossRef]
- Lamraoui, F.; Fortin, G.; Benoit, R.; Perron, J.; Masson, C. Atmospheric icing impact on wind turbine production. Cold Reg. Sci. Technol. 2014, 100, 36–49. [Google Scholar] [CrossRef]
- Peterson, A.; Dadone, L.; Bevan, A. Rotorcraft Aviation Icing Research Requirements: Research Review and Recommendations; NTRS-NASA Technical Reports Server: Philadelphia, PA, USA, 1981; Available online: https://ntrs.nasa.gov/citations/19810014537 (accessed on 1 November 2021).
- NASA Glenn Research Centre. Rotorcraft Lcing. Available online: https://www1.grc.nasa.gov/aeronautics/icing/rotorcraft-icing/ (accessed on 5 February 2023).
- Brouwers, E.W.; Palacios, J.L.; Smith, E.C.; Peterson, A.A. The experimental investigation of a rotor hover icing model with shedding. In Proceedings of the American Helicopter Society 66th Annual Forum, Phoenix, AZ, USA, 11–13 May 2010; pp. 1863–1875. [Google Scholar]
- Hansman, R.J.; Kirby, M.S. Comparison of wet and dry growth in artificial and flight icing conditions. J. Thermophys. Heat Transf. 1987, 1, 215–221. [Google Scholar] [CrossRef]
- Campbell, S.E.; Broeren, A.P.; Bragg, M.B. Sensitivity of Aircraft Performance to Icing Parameter Variations. J. Aircr. 2007, 44, 1758–1760. [Google Scholar] [CrossRef]
- Benmeddour, A. Investigation of Tolerance for Icing of small UAV Rotors/Propellers: Phase 1; Aerospace: 2019/03/29; National Research Council of Canada: Ottawa, ON, Canada, 2019. [Google Scholar]
- Muhammed, M.; Virk, M.S. Ice Accretion on Fixed-Wing Unmanned Aerial Vehicle—A Review Study. Drones 2022, 6, 86. [Google Scholar] [CrossRef]
- Fengler, M. Study of Propeller Icing Hazard in Mini-UAV Aviation; Meteomatics GmbH Technical Report: St. Gallen, Switzerland, 2017. [Google Scholar]
- Avery, A.S.; Jacob, J.D. Evaluation of Low Altitude Icing Conditions for Small Unmanned Aircraft. In Proceedings of the 9th AIAA Atmospheric and Space Environments Conference, Denver, CO, USA, 5–9 June 2017; p. 3929. [Google Scholar]
- Siddique, M.A. An experimental study on the effects of adverse weathers on the flight performance of an Unmanned-Aerial-System (UAS). In Graduate Theses and Dissertations. 18615; Iowa State University: Ames, IA, USA, 2021. [Google Scholar] [CrossRef]
- Dhulipalla, A.; Han, N.; Hu, H.; Hu, H. A Comparative Study to Characterize the Effects of Adverse Weathers on the Flight Performance of an Unmanned-Aerial-System. In Proceedings of the AIAA Aviation 2022 Forum, Chicago, IL, USA, 27 June–1 July 2022; American Institute of Aeronautics and Astronautics: Fairfax, VA, USA, 2022. [Google Scholar] [CrossRef]
- Puffing, R.F.; Hassler, W.; Tramposch, A.; Peciar, M. Ice Shape Mapping by Means of 4D-Scans; 0148-7191; SAE Technical Paper: Minneapolis, MN, USA, 2015; p. 8. [Google Scholar]
- Neubauer, T.; Kozomara, D.; Puffing, R.; Hassler, W. Validation of Ice Roughness Analysis Based on 3d-Scanning and Self-Organizing maps; 0148-7191; SAE Technical Paper: Minneapolis, MN, USA, 2019. [Google Scholar]
- Benmeddour, A. Investigation of Tolerance for Icing of Small UAV Rotors/propellers: Phase 2; Aerospace: 2020/03/31; National Research Council of Canada: Ottawa, ON, Canada, 2020. [Google Scholar]
- Ning, Z. Experimental Investigations on the Aerodynamic and Aeroacoustic Characteristics of Small UAS Propellers; Iowa State University: Ottawa, ON, Canada, 2018. [Google Scholar]
- (EASA). Certification Specifications (CSs). Available online: https://www.easa.europa.eu/en/document-library/certification-specifications (accessed on 26 December 2022).
- Karpen, N.; Diebald, S.; Dezitter, F.; Bonaccurso, E. Propeller-integrated airfoil heater system for small multirotor drones in icing environments: Anti-icing feasibility study. Cold Reg. Sci. Technol. 2022, 201, 103616. [Google Scholar] [CrossRef]
- Han, N.; Hu, H.; Hu, H. An Experimental Investigation on the Dynamic Ice Accretion Process over the Blade Surface of a Rotating UAV Propeller. In Proceedings of the AIAA Scitech 2022 Forum, San Diego, CA, USA, 3–7 January 2022; American Institute of Aeronautics and Astronautics: Fairfax, VA, USA, 2021. [Google Scholar] [CrossRef]
- Yan, S.; Opazo, T.; Palacios, J.; Langelaan, J.W.; Germain, L.D. Experimental evaluation of multi-rotor UAV operation under icing conditions. In Proceedings of the Annual Forum Proceedings-AHS International, Phoenix, AZ, USA, 14–17 May 2018. [Google Scholar]
- Mantay, W.R.; Campbell, R.L.; Shidler, P.A. Full-scale testing of an Ogee tip rotor. In Proceedings of the Helicopter Acoustics, Hampton, VA, USA, 22–24 May 1978; Part 2; pp. 277–308. [Google Scholar]
- Müller, N.; Hann, R.; Lutz, T. UAV Icing: Numerical Simulation of Propeller Ice Accretion. In Proceedings of the AIAA Aviation 2021 Forum, Virtual Event, 2–6 August 2021; American Institute of Aeronautics and Astronautics: Fairfax, VA, USA, 2021. [Google Scholar] [CrossRef]
- Müller, N.C.; Hann, R. UAV Icing: A Performance Model for a UAV Propeller in Icing Conditions. In Proceedings of the AIAA Aviation 2022 Forum, Chicago, IL, USA, 27 June–1 July 2022; American Institute of Aeronautics and Astronautics: Fairfax, VA, USA, 2022. [Google Scholar] [CrossRef]
- Hylmar, K.; Socha, V.; Kusmirek, S.; Hanakova, L.; Urban, D.; Spak, M. Effect of Icing on the Unmanned Aerial Vehicle Propulsion Systems. In Proceedings of the 2022 New Trends in Civil Aviation (NTCA), Prague, Czech Republic, 26–27 October 2022; pp. 115–122. [Google Scholar]
- Villeneuve, E.; Samad, A.; Volat, C.; Béland, M.; Lapalme, M. Experimental Investigation of Icing Effects on a Hovering Drone Rotor Performance. Drones 2022, 6, 345. [Google Scholar] [CrossRef]
- Liu, Y.; Li, L.; Chen, W.; Tian, W.; Hu, H. An experimental study on the aerodynamic performance degradation of a UAS propeller model induced by ice accretion process. Exp. Therm. Fluid Sci. 2019, 102, 101–112. [Google Scholar] [CrossRef]
- Kozomara, D.; Neubauer, T.; Puffing, R.; Bednar, I.; Breitfuss, W. Experimental Investigation on the Effects of Icing on Multicopter UAS Operation. In Proceedings of the AIAA Aviation 2021 Forum, Virtual Event, 2–6 August 2021. [Google Scholar]
- Catry, G.; Ceyhan, O.; Noca, F.; Bosson, N.; Bardazzi, L.J.; Marquez, S.; Jordaens, P.J.; Brandolisio, D. Performance Analysis of Rotorcraft Propulsion Units in a Combination of Wind and Icing Conditions. In Proceedings of the AIAA Aviation 2021 Forum, Virtual Event, 2–6 August 2021; American Institute of Aeronautics and Astronautics: Fairfax, VA, USA, 2021. [Google Scholar] [CrossRef]
- Suurnäkki, P.; Tiihonen, M.; Jokela, T. UAV Icing: Low Reynolds Number Drone Propeller Performance During Dynamic Icing Process. In Proceedings of the AIAA Aviation 2021 Forum, Virtual Event, 2–6 August 2021; American Institute of Aeronautics and Astronautics: Fairfax, VA, USA, 2021. [Google Scholar] [CrossRef]
- Li, L.; Liu, Y.; Zhang, Z.; Hu, H. Effects of thermal conductivity of airframe substrate on the dynamic ice accretion process pertinent to UAS inflight icing phenomena. Int. J. Heat Mass Transf. 2019, 131, 1184–1195. [Google Scholar] [CrossRef]
- Pecho, P.; Jarošová, M.; Fodor, P.; Rostas, J. Experimental Analysis of the Effect of Icing an Unmanned Aerial Vehicles in Multicopter Configuration. In Proceedings of the 2022 New Trends in Civil Aviation (NTCA), Prague, Czech Republic, 26–27 October 2022; pp. 147–151. [Google Scholar]
- Wang, Y.; Xiong, K.; Zhu, C.; Zhu, C.; Guo, R.; Chen, L. Research on Normal Ice Adhesion Strength in Icing Wind Tunnel. Available online: https://ssrn.com/abstract=4263761 (accessed on 1 November 2021).
- Koishi, T.; Yasuoka, K.; Fujikawa, S.; Ebisuzaki, T.; Zeng, X.C. Coexistence and transition between Cassie and Wenzel state on pillared hydrophobic surface. Proc. Natl. Acad. Sci. USA 2009, 106, 8435–8440. [Google Scholar] [CrossRef] [Green Version]
- Yan, S.; Opazo, T.; Langelaan, J.; Palacios, J. Experimental Evaluation and Flight Simulation of Coaxial-Rotor Vehicles in Icing Clouds. J. Am. Helicopter Soc. 2020, 65, 1–15. [Google Scholar] [CrossRef]
- Anderson, D. Acceptable tolerances for matching icing similarity parameters in scaling applications. In Proceedings of the 39th Aerospace Sciences Meeting and Exhibit, Reno, NV, USA, 8–11 January 2001. [Google Scholar] [CrossRef] [Green Version]
- Scroger, S.; Palacios, J.; Han, Y. Urban Air Mobility Rotor Icing Performance Characterization and Prediction. In Proceedings of the AIAA Aviation 2020 Forum, Virtual Event, 15–19 June 2020; American Institute of Aeronautics and Astronautics: Fairfax, VA, USA, 2020. [Google Scholar] [CrossRef]
- Liu, Y.; Li, L.; Li, H.; Hu, H. An experimental study of surface wettability effects on dynamic ice accretion process over an UAS propeller model. Aerosp. Sci. Technol. 2018, 73, 164–172. [Google Scholar] [CrossRef]
- Villeneuve, É.; Samad, A.; Volat, C.; Béland, M.; Lapalme, M. Experimental Assessment of the Ice Protection Effectiveness of Icephobic Coatings for a Hovering Drone Rotor. In Proceedings of the International Workshop on Atmospheric Icing of Structures, Montreal, QC, Canada, 19–23 June 2022; Available online: https://www.mcgill.ca/iwais2022/files/iwais2022/paperid085.pdf (accessed on 1 November 2021).
- Han, N.; Hu, H.; Hu, H. An Experimental Investigation to Assess the Effectiveness of Various Anti-Icing Coatings for UAV Propeller Icing Mitigation. In Proceedings of the AIAA Aviation 2022 Forum, Chicago, IL, USA, 27 June–1 July 2022; p. 3964. [Google Scholar] [CrossRef]
- Hunt, B.; Rawlins, C.; Hill, B. An Analysis of Blade Deicing Techniques for Multi-Rotor UAV Propellers. In Proceedings of the 2021 IEEE Aerospace Conference (50100), Big Sky, MT, USA, 6–13 March 2021; pp. 1–6. [Google Scholar] [CrossRef]
- Ramanathan, S. An Investigation on the Deicing of Helicopter Blades Using Shear Horizontal Guided Waves. Ph.D. Thesis, The Pennsylvania State University, State College, PA, USA, 2005. [Google Scholar]
- Venna, S.V.; Lin, Y.-J.; Botura, G. Piezoelectric Transducer Actuated Leading Edge De-Icing with Simultaneous Shear and Impulse Forces. J. Aircr. 2007, 44, 509–515. [Google Scholar] [CrossRef]
- Palacios, J.; Smith, E.; Rose, J. Investigation of an ultrasonic ice protection system for helicopter rotor blades. In Proceedings of the American Helicopter Society 64th Annual Forum, Montreal, QC, Canada, 29 April–1 May 2008; pp. 609–618. [Google Scholar]
- Villeneuve, E.; Volat, C.; Ghinet, S. Numerical and Experimental Investigation of the Design of a Piezoelectric De-Icing System for Small Rotorcraft Part 1/3: Development of a Flat Plate Numerical Model with Experimental Validation. Aerospace 2020, 7, 62. [Google Scholar] [CrossRef]
- Villeneuve, E.; Volat, C.; Ghinet, S. Numerical and Experimental Investigation of the Design of a Piezoelectric De-Icing System for Small Rotorcraft Part 2/3: Investigation of Transient Vibration during Frequency Sweeps and Optimal Piezoelectric Actuator Excitation. Aerospace 2020, 7, 49. [Google Scholar] [CrossRef]
- Villeneuve, E.; Volat, C.; Ghinet, S. Numerical and Experimental Investigation of the Design of a Piezoelectric De-Icing System for Small Rotorcraft Part 3/3: Numerical Model and Experimental Validation of Vibration-Based De-Icing of a Flat Plate Structure. Aerospace 2020, 7, 54. [Google Scholar] [CrossRef]
- Liu, Y.; Li, L.; Ning, Z.; Tian, W.; Hu, H. Experimental Investigation on the Dynamic Icing Process over a Rotating Propeller Model. J. Propuls. Power 2018, 34, 933–946. [Google Scholar] [CrossRef] [Green Version]
- Liu, Y.; Li, L.; Hu, H. Effects of Ice Accretion on the Aerodynamic Performance and Wake Characteristics of an UAS Propeller Model. In Proceedings of the AIAA 2018-3496. 2018 Atmospheric and Space Environments Conference, Atlanta, GA, USA, 25–29 June 2018. [Google Scholar] [CrossRef] [Green Version]
- Benmeddour, A. Experimental Investigation of Tolerance for Icing of Small RPAS Propellers at High RPM. In Proceedings of the AIAA Aviation 2021–2675 Forum, Session: UAV & UAM Icing, Virtual Event, 2–6 August 2021. [Google Scholar] [CrossRef]
- Suurnäkki, P.; Jokela, T.; Tiihonen, M. Applying an Icing Wind Tunnel for Drone Propeller Research, Validation of New Measurement Instrument. In New Developments and Environmental Applications of Drones; Springer: Berlin/Heidelberg, Germany, 2022; pp. 31–49. [Google Scholar]
Reference | Year | Geometry | (°C) | LWC (g/m3) | MVD (µm) | (m/s) | RPM | Advance Ratio | Time (S) | Comments | |
---|---|---|---|---|---|---|---|---|---|---|---|
Meteomatics [26] | 2017 | - | Two-blade rotor | −2 | 0.6 | 20 | - | 2000–7000 | - | 400 | Increase in LWC values leads to more complex ice structures. |
−5 | 0.5 | 20 | |||||||||
−5 | 1.25 | 30 | |||||||||
−10 | 1.4 | 25 | |||||||||
−10 | 0.8 | 32.5 | |||||||||
−20 | 0.7 | 30 | |||||||||
Liu [16,43,64,65] | 2017 2018 | Three-blade propeller (200 mm) | −15 | 1 | 10–100 | 16 | 3000 | ≈0.25 | 115.8 | Increase in LWC leads to complex “lobster-tail-like ice structures” and severe performance degradation. | |
−5 | 1 | ||||||||||
−5 | 2 | ||||||||||
Ning [33] | 2018 | UAS propeller (240 mm) | −4 | 0.5, 1.0, 1.5, 2.0 | 10–100 | 10 | 4200 | ≈0.1 | 85 | Lift degradation increases with decrease in atmospheric temperature. Increase in LWC also decreases thrust and increases power consumption by five times. | |
−8 | |||||||||||
−15 | |||||||||||
Yan [37,51] | 2018 2019 | - | Two-blade coaxial rotor 24.5 inch | −10 | 1.27 | 40 | 0 | 2000 | - | 60 | With 60 s of icing, thrust decreases by 27.58%, and power consumption increases by 184%. |
Benmeddour [24,32,66] | 2020 2021 | 144,000 | Two-blade 10-inch, 12-inch, and 14-inch propellers | −2 | 0.5 | 20 | 15 | 8000 | 0.37 | Time of 50% reduction in thrust | and LWC had prominent effects on icing. A five times increase in LWC can make the thrust reduction five to eight times faster. Rime ice resulted in faster performance degradation. |
−5 | 0.5 | 20 | |||||||||
−12 | 0.2, 0.5, 1.0 | 20, 40, 60 | |||||||||
Suurnäkki [45,67] | 2020 2021 | 35,000 | APC thin 11 × 8 two-blade propeller | −5 | 0.1 | 12–30 | 2–20 m/s | 3000 | 0.26, 0.29, 0.69, 0.72 | 300 | Highest RPM with highest advance ratio is more detrimental to icing. |
75,000 | 5000 | ||||||||||
Scroger [53] | 2020 | - | 14-inch CF two-blade rotor | −5, −10, −15, −20 | 0.692-1.1 | 20,40 | - | 2000 2500 3000 | - | 30, 45, 60 | An empirical model was developed to predict airfoil lift degradation under icing conditions. |
Villeneuve [61,62,63] | 2020 | - | Flat Plate | −8 | - | - | - | - | - | - | The feasibility of a piezoelectric deicing system was studied. |
Müller [39] | 2020 | 50,000 | 21 × 10 propeller blade | −2 | 0.60 | 20 | 25 | 5000 | 0.65 | 120 | The largest reduction in the efficiency of the propeller was achieved at a temperature of −5°. |
−5 | 0.53 | ||||||||||
−15 | 0.32 | ||||||||||
Müller [40] | 2021 | - | 21 × 13 2-blade propeller | −2, −5, −10, −15, −20 | 0.44 | 10–25 | 1750–5200 | 0.5–1.2 | upto 300 s | The amount of ice grows with the decreasing temperature. | |
Kazomara [44] | 2021 | - | Multicopter UAV | −20 | 0.86 | 20 | 20 | 2000 | - | 300 | A 100% increase in required power and a 40 N decrease in lift were measured within 80 s of icing. |
0.86 | 40 | ||||||||||
1.5 | 100 | ||||||||||
Catry [45] | 2021 | - | 9 × 5 three-blad propeller | −10 | - | 400 | 6 | 3500 | - | 82 | SLD can cause complex ice shapes with “lobster-tail-like ice structures”. |
Villeneuve [42] | 2022 | - | Bell APT70 drone rotor | −5, −12 −15 | 0.2 -7.5 | 120, 800 | - | 3880, 4440, 4950 | - | 300–800 | SLD ice accretion on a hovering rotor was studied. |
Hylmar [41] | 2022 | - | 3D Robotics Solo propeller | −5, −10, −15 | 1.43 (g/s) | - | - | 4000–7500 | - | 35 | The power requirements increased by 505 % under rime-ice conditions. |
Pecho [48] | 2022 | - | 9 × 4.7, 8 × 4.5, 8 × 4 two-blade propellers | −2, −5 to −10 | - | - | - | - | - | 60 | Thrust decreased by 65% due to ice accretion. |
Han [36] | 2022 | - | DJI 9443 | −5 | 2 | - | 10 | 4200 | - | 427.5 | Aerodynamic performance degradation was increased under rime-ice conditions after the first ice shedding event. |
−15 | 0.5 | 837.8 | |||||||||
Han [56] | 2022 | - | DJI 9443 | −5 | 2 | - | 10 | 4200 | - | 440 | Low-adhesion coatings have a better anti-icing effect than SHS. |
−15 | 0.5 | 1100 | |||||||||
Villeneuve [55] | 2022 | - | Bell APT70 drone rotor | −5, −12 | 2.3, 6.3 | 120 | - | 3880, 4950 | - | 600 | The use of hydrophobic coatings helps in early ice shedding. |
Karpen [35] | 2022 | - | DJI 1345S two-blade propeller 33 cm | 0 | 0.78 | 20 | 2.2 | 4000 | - | 1100 | A higher thrust reduction rate of 1N/100 s was observed for glaze ice compared to 1N/250 s for rime ice. |
Disclaimer/Publisher’s Note: The statements, opinions and data contained in all publications are solely those of the individual author(s) and contributor(s) and not of MDPI and/or the editor(s). MDPI and/or the editor(s) disclaim responsibility for any injury to people or property resulting from any ideas, methods, instructions or products referred to in the content. |
© 2023 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/).
Share and Cite
Muhammed, M.; Virk, M.S. Ice Accretion on Rotary-Wing Unmanned Aerial Vehicles—A Review Study. Aerospace 2023, 10, 261. https://doi.org/10.3390/aerospace10030261
Muhammed M, Virk MS. Ice Accretion on Rotary-Wing Unmanned Aerial Vehicles—A Review Study. Aerospace. 2023; 10(3):261. https://doi.org/10.3390/aerospace10030261
Chicago/Turabian StyleMuhammed, Manaf, and Muhammad Shakeel Virk. 2023. "Ice Accretion on Rotary-Wing Unmanned Aerial Vehicles—A Review Study" Aerospace 10, no. 3: 261. https://doi.org/10.3390/aerospace10030261
APA StyleMuhammed, M., & Virk, M. S. (2023). Ice Accretion on Rotary-Wing Unmanned Aerial Vehicles—A Review Study. Aerospace, 10(3), 261. https://doi.org/10.3390/aerospace10030261