A Functional design methodology with genetic algorithm optimization to a door actuation mechanism

Download
2019
Akman, Hasan
In this thesis, the preliminary design of an in-flight refueling door actuation mechanism is designed. A novel design methodology is introduced to create and evaluate different mechanism design alternatives systematically. The design is divided into two sub-problems. For each sub-problem, different conceptual design alternatives and evaluation criteria are created considering the design requirements. Suitable concepts are systematically selected among the alternatives based on the evaluation criteria. Then, detailed synthesis and analysis are performed on the selected concepts. After synthesis and analysis, selected concepts are optimized by using Genetic Algorithm. For each sub-problem, optimized mechanism concepts are compared one more time based on different criteria, and a suitable mechanism concept is selected. Lastly, mechanism concepts of each sub-problem are combined to obtain the best design of the in-flight refueling door actuation mechanism.

Suggestions

Design and construction of a folding mechanism for a radar system
Yurt, Hünkar Kemal; Turgut, Ali Emre; Department of Mechanical Engineering (2019)
In this thesis, a folding mechanism with 1 degrees of freedom is designed and constructed for a two-antenna radar system. The optimum mechanism for the problem is systematically selected among the conceptual mechanism alternatives. Then, a detailed synthesis and analysis study is performed on the selected mechanism, and the mechanism is implemented to the geometry of the radar system. By performing modal and strength analyses on the 3D model of the folding mechanism created during the implementation study, ...
A parallel aerostructural shape optimization platform for airplane wings
Oktay, Erdal; Arpacı, Anıl; Şehitoğlu, Onur Tolga; Akay, Hasan Umur (null; 2019-05-17)
A parallel design platform is developed for aerostructural shape optimization of airplane wings. The developed tools consist of a panel method-based aerodynamic solver, a finite element-based structural solver, geometry and mesh generation modules and a parallel genetic algorithm optimizer, with emphasis given to automation and fast solutions
A comparison of two novel direct adaptive control methods under actuator failure accommodation
Kutay, Ali Türker; Calise, Anthony J.; Johnson, Eric N. (null; 2008-12-01)
In flight control systems it is crucial to accommodate actuator failures for safe operation. Modern flight control systems are equipped with multiple power sources and actuation systems that offer redundancy in the event of actuator failures. Traditional approaches to flight control system design involve scheduling of fixed gain controllers and control allocation to take full advantage of redundant actuators. Alternative adaptive control approaches have been extensively investigated recently to provide enha...
An enhanced analytical model for residual stress prediction in machining
Lazoglu, I.; Ulutan, D.; Alaca, B. E.; Engin, S.; Kaftanoglu, B. (2008-01-01)
The predictions of residual stresses are most critical on the machined aerospace components for the safety of the aircraft. In this paper, an enhanced analytic elasto-plastic model is presented using the superposition of thermal and mechanical stresses on the workpiece, followed by a relaxation procedure. Theoretical residual stress predictions are verified experimentally with X-ray diffraction measurements on the high strength engineering material of Waspaloy that is used critical parts such as in aircraft...
A Low Complexity Two-Stage Target Detection Scheme for Resource Limited Radar Systems
Candan, Çağatay (2013-01-01)
A two-stage detector is proposed to accommodate high computational load requirements of modern radar systems. The first stage of the proposed system is a low-complexity detector that operates at an unusually high false alarm probability value around 1/10. This stage is to prescreen and eliminate some of the test cells with relatively few operations. The second stage operates only on the cells passing the prescreening stage and implements a high-complexity detector at a desired system false alarm rate. Due t...
Citation Formats
H. Akman, “A Functional design methodology with genetic algorithm optimization to a door actuation mechanism,” Thesis (M.S.) -- Graduate School of Natural and Applied Sciences. Mechanical Engineering., Middle East Technical University, 2019.