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In this work, a well-known mechanism that is referred to as piston lever mechanism is design to control the wing’s flange. The design targets the mechanism components and their location while maintaining the minimum oil level required to lift the flanges from 0 to 45 degrees. The design is considered a multi-objective optimization problem; in which we propose the Giza Pyramid Algorithm (GPA) to optimize. GPA is a newly developed metaheuristic technique of type ancientinspired that was developed in 2021. The GPA shall obtain the best design while satisfying four constrains. The algorithm will be tested in Monte Carlo simulation to show its effectiveness in terms of stability and robustness. The performance is then compared to the particle swarm optimization. The proposed method shows a superior result compared to the PSO. Keywords: Giza pyramid, metaheuristic, optimization, design.
Mohammad AlShabi,Mahmoud Abouelazm,Ali Bou Nassif, andMaamar Bettayeb
"Design a wing flange lever mechanism using Giza pyramid algorithm", Proc. SPIE 12546, Sensors and Systems for Space Applications XVI, 125460U (13 June 2023); https://doi.org/10.1117/12.2664459
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Mohammad AlShabi, Mahmoud Abouelazm, Ali Bou Nassif, Maamar Bettayeb, "Design a wing flange lever mechanism using Giza pyramid algorithm," Proc. SPIE 12546, Sensors and Systems for Space Applications XVI, 125460U (13 June 2023); https://doi.org/10.1117/12.2664459