Here is our contribution in science.
Our vision is to have a scientific research and knowledge exchange environment, and our mission is to elevate continuous learning, researching, participating in scientific conferences and engineering competitions.
Hence, here are our contribution in science.
Season II
On Using Neural Networks for Turbofan Aircraft Performance Analysis
M. El–Salamony, I. A. Shaaban, O. S. Elnasr and M. Wael, “On Using Neural Networks for Turbofan Aircraft Performance Analysis,” 2022 4th Novel Intelligent and Leading Emerging Sciences Conference (NILES), Giza, Egypt, 2022, pp. 345-348, doi: 10.1109/NILES56402.2022.9942435.
In aircraft design process, to ensure a given design is efficient and economical to carry out its mission, its performance shall be tested. For rapid design requirements, application of artificial intelligence and neural networks (ANN) is proposed hereafter to calculate the performance analysis in a fast way instead of using the complex nonlinear ‘traditional’ way. Hence, a Performance Solver code is coded and a database of several turbofan passenger aircraft is created to feed a neural network. Up to our knowledge, this is considered as the first time to use ANNs in such an application. The results achieved good accuracy in an acceptable computational time and low level of complexity.
Influence of solar panel on wing aerodynamic and structural characteristics of UAV
G. Emad, A. Atef, M. El-Salamony and M. Khalifa, “Influence of solar panel on wing aerodynamic and structural characteristics of UAV,” 2022 4th Novel Intelligent and Leading Emerging Sciences Conference (NILES), Giza, Egypt, 2022, pp. 108-111, doi: 10.1109/NILES56402.2022.9942426.
The addition of solar panels to an aircraft wing deforms the wing shape. As a result, the aerodynamic and structural characteristics are affected. Consequently, the range and endurance are directly changed. The purpose of this paper is to assess the impact of attaching solar panels to an unmanned aerial vehicle’s wing on its aerodynamic performance and structure, using CFD and FEA approaches. Lift and drag are used to analyze the aerodynamic performance. It is found that the solar panel has a minor effect on the aerodynamic performance of the wing, while it has a bigger effect on the UAV wing structure.
Numerical Analysis of Solar Panel Effects on UAVs Aerodynamics and Stability
M. El-Salamony, M. Adawy and M. Khalifa, “Numerical Analysis of Solar Panel Effects on UAVs Aerodynamics and Stability,” 2022 4th Novel Intelligent and Leading Emerging Sciences Conference (NILES), Giza, Egypt, 2022, pp. 147-150, doi: 10.1109/NILES56402.2022.9942372.
Adding solar panels over the wing deforms the airfoil shape. Hence, the aerodynamic and stability performance are changed. By changing the aerodynamic performance, the range of aircraft changes considerably, which is of crucial importance for the Solar Powered Unmanned Aerial Vehicles because it glides most of the night hours. This paper aims to evaluate the impact of adding solar panels, over the wing of an unmanned aerial vehicle, using vortex panel method. The aerodynamic performance is analyzed in terms of lift, drag, and moment coefficients. The aircraft stability is quantified in terms of natural frequencies and damping ratios of the stability modes.
Parametric Study of Boundary Layer Ingestion Propeller Position on UAV Wings
O. S. Elnasr and M. El-Salamony, “Parametric Study of Boundary Layer Ingestion Propeller Position on UAV Wings,” 2022 4th Novel Intelligent and Leading Emerging Sciences Conference (NILES), Giza, Egypt, 2022, pp. 01-04, doi: 10.1109/NILES56402.2022.9942428.
Boundary Layer Ingestion is one of the most trending applications in the aircraft propulsion field. Here, it is applied on a small unmanned aerial vehicle wing to investigate its advantages and disadvantages in terms of lift, drag, power consumption, and propulsive efficiency. To do so, a parametric study is conducted to quantify how these parameters change when the propeller diameter and its horizontal and vertical positions vary.
Season I
Visual Data Acquisition for Measuring Devices using Deep Learning
Y. Abdelrahman, M. El-Salamony and M. Khalifa, “Visual Data Acquisition for Measuring Devices using Deep Learning,” 2021 3rd Novel Intelligent and Leading Emerging Sciences Conference (NILES), Giza, Egypt, 2021, pp. 301-304, doi: 10.1109/NILES53778.2021.9600549.
Boundary Layer Ingestion is one of the most trending applications in the aircraft propulsion field. Here, it is applied on a small unmanned aerial vehicle wing to investigate its advantages and disadvantages in terms of lift, drag, power consumption, and propulsive efficiency. To do so, a parametric study is conducted to quantify how these parameters change when the propeller diameter and its horizontal and vertical positions vary.
فرناس Fernas 