| Autor: |
Sakti, Mohammad Amanta Kumala, Suprianto, Agus, Fuadi, Abid Paripurna, Mukti, Suherman, Wahdiyat, Aditya Inzani, Fitrianto, Permana, Adhi Dharma, Nugroho, Rudi Cahyo |
| Předmět: |
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| Zdroj: |
AIP Conference Proceedings; 2023, Vol. 2941 Issue 1, p1-10, 10p |
| Abstrakt: |
The Medium Altitude Long Endurance (MALE) class Unmanned Aerial Vehicles (UAV) have been developed in Indonesia to meet domestic needs for aerial surveillance since 2017. The under-development aircraft is equipped with a 4-stroke engine propulsion system and two options 2-blade fix pitch propellers, a 79 inches diameter with 70 inches pitch (7970), and a 79 inches diameter with 66 inches pitch (7966). The static thrust of two types of propellers and the influence of reverse engineering accuracy in static thrust simulation using Computational Fluid Dynamic (CFD) are mainly discussed in this research. For simulation purposes, the reverse engineering process with the photo scanning method was used to obtain the 7970 and 7966 propeller geometries. After the model's geometry was obtained, the chord length and blade angle (β) data are measured and then compared to available data from the propeller manufacturer for validation. The CFD simulation was carried out from RPM 800 to RPM 2400 with increments of 400 RPM to determine the propeller static thrust performance of the 7970 and 7966 propellers. At 2200 RPM, the CFD static thrust result for the 7970 propellers is 2958.61 N, and for the 7966 propellers is 2917.39 N. An investigation was conducted at 2200 RPM in section 0,75 to determine the level of accuracy in the reverse engineering process that could affect the numerical simulation results. The 7966 propeller which has better reverse engineering accuracy than the propeller 7970 gives a lower difference result of CFD static thrust when compared with the theoretical calculation. This investigation shows that the accuracy of the model reverse engineering process greatly affects the simulation results. [ABSTRACT FROM AUTHOR] |
| Databáze: |
Complementary Index |
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