Optimal airfoil design and wing analysis for solar-powered high altitude platform station
Апстракт
The ability of flying continuously over prolonged periods of time has become target of numerous research studies performed in recent years in both the fields of civil aviation and unmanned drones. High altitude platform stations are aircrafts that can operate for an extended period of time at altitudes 17 km above sea level and higher. The aim of this paper is to design and optimize a wing for such platforms and computationally investigate its aerodynamic performance. For that purpose, two-objective genetic algorithm, class shape transformation and panel method were combined and used to define different airfoils with the highest lift-to-drag ratio and maximal lift coefficient. Once the most suitable airfoil was chosen, polyhedral half wing was modeled and its aerodynamic performances were estimated using the CFD approach. Flow simulations of transitional flow at various angles-of-attack were realized in ANSYS FLUENT and various quantitative and qualitative results are presented, such a...s aerodynamic coefficient curves and flow visualizations. In the end, daily mission of the aircraft is simulated and its energy requirement is estimated. In order to be able to cruise above Serbia in July, an aircraft weighing 150 kg must accumulate 17 kWh of solar energy per day.
Кључне речи:
XFOIL / wing design / optimization / genetic algorithm / CST parameterization / CFDИзвор:
Thermal Science, 2022, 26, 3, 2163-2175Издавач:
- Univerzitet u Beogradu - Institut za nuklearne nauke Vinča, Beograd
Финансирање / пројекти:
- Министарство науке, технолошког развоја и иновација Републике Србије, институционално финансирање - 200105 (Универзитет у Београду, Машински факултет) (RS-MESTD-inst-2020-200105)
DOI: 10.2298/TSCI210419241S
ISSN: 0354-9836
WoS: 000805859400012
Scopus: 2-s2.0-85131414846
Колекције
Институција/група
Mašinski fakultetTY - JOUR AU - Hasan, Mohammad Sakib AU - Svorcan, Jelena AU - Simonović, Aleksandar AU - Mirkov, Nikola AU - Kostić, Olivera PY - 2022 UR - https://machinery.mas.bg.ac.rs/handle/123456789/3784 AB - The ability of flying continuously over prolonged periods of time has become target of numerous research studies performed in recent years in both the fields of civil aviation and unmanned drones. High altitude platform stations are aircrafts that can operate for an extended period of time at altitudes 17 km above sea level and higher. The aim of this paper is to design and optimize a wing for such platforms and computationally investigate its aerodynamic performance. For that purpose, two-objective genetic algorithm, class shape transformation and panel method were combined and used to define different airfoils with the highest lift-to-drag ratio and maximal lift coefficient. Once the most suitable airfoil was chosen, polyhedral half wing was modeled and its aerodynamic performances were estimated using the CFD approach. Flow simulations of transitional flow at various angles-of-attack were realized in ANSYS FLUENT and various quantitative and qualitative results are presented, such as aerodynamic coefficient curves and flow visualizations. In the end, daily mission of the aircraft is simulated and its energy requirement is estimated. In order to be able to cruise above Serbia in July, an aircraft weighing 150 kg must accumulate 17 kWh of solar energy per day. PB - Univerzitet u Beogradu - Institut za nuklearne nauke Vinča, Beograd T2 - Thermal Science T1 - Optimal airfoil design and wing analysis for solar-powered high altitude platform station EP - 2175 IS - 3 SP - 2163 VL - 26 DO - 10.2298/TSCI210419241S ER -
@article{ author = "Hasan, Mohammad Sakib and Svorcan, Jelena and Simonović, Aleksandar and Mirkov, Nikola and Kostić, Olivera", year = "2022", abstract = "The ability of flying continuously over prolonged periods of time has become target of numerous research studies performed in recent years in both the fields of civil aviation and unmanned drones. High altitude platform stations are aircrafts that can operate for an extended period of time at altitudes 17 km above sea level and higher. The aim of this paper is to design and optimize a wing for such platforms and computationally investigate its aerodynamic performance. For that purpose, two-objective genetic algorithm, class shape transformation and panel method were combined and used to define different airfoils with the highest lift-to-drag ratio and maximal lift coefficient. Once the most suitable airfoil was chosen, polyhedral half wing was modeled and its aerodynamic performances were estimated using the CFD approach. Flow simulations of transitional flow at various angles-of-attack were realized in ANSYS FLUENT and various quantitative and qualitative results are presented, such as aerodynamic coefficient curves and flow visualizations. In the end, daily mission of the aircraft is simulated and its energy requirement is estimated. In order to be able to cruise above Serbia in July, an aircraft weighing 150 kg must accumulate 17 kWh of solar energy per day.", publisher = "Univerzitet u Beogradu - Institut za nuklearne nauke Vinča, Beograd", journal = "Thermal Science", title = "Optimal airfoil design and wing analysis for solar-powered high altitude platform station", pages = "2175-2163", number = "3", volume = "26", doi = "10.2298/TSCI210419241S" }
Hasan, M. S., Svorcan, J., Simonović, A., Mirkov, N.,& Kostić, O.. (2022). Optimal airfoil design and wing analysis for solar-powered high altitude platform station. in Thermal Science Univerzitet u Beogradu - Institut za nuklearne nauke Vinča, Beograd., 26(3), 2163-2175. https://doi.org/10.2298/TSCI210419241S
Hasan MS, Svorcan J, Simonović A, Mirkov N, Kostić O. Optimal airfoil design and wing analysis for solar-powered high altitude platform station. in Thermal Science. 2022;26(3):2163-2175. doi:10.2298/TSCI210419241S .
Hasan, Mohammad Sakib, Svorcan, Jelena, Simonović, Aleksandar, Mirkov, Nikola, Kostić, Olivera, "Optimal airfoil design and wing analysis for solar-powered high altitude platform station" in Thermal Science, 26, no. 3 (2022):2163-2175, https://doi.org/10.2298/TSCI210419241S . .