MISSILE SYSTEM DESIGN AND OPTIMIZATION INTEGRATED WITH SYSTEM ENGINEERING METHODOLOGIES

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Tezin Türü: Yüksek Lisans

Tezin Yürütüldüğü Kurum: Orta Doğu Teknik Üniversitesi, Fen Bilimleri Enstitüsü, Fen Bilimleri Enstitüsü, Türkiye

Tezin Onay Tarihi: 2019

Tezin Dili: İngilizce

Öğrenci: DENİZ BAHÇECİ

Danışman: Ali Türker Kutay

Özet:

In the missile system design process, customer’s requirements and system design are entirely interrelated. From the beginning of the design process, customer requirements should be taken into consideration carefully to avoid an inappropriate design. Moreover, in order to handle the changes in the requirements efficiently, both the requirement’s implementation into the design and design processes should be accelerated. Within the scope of this thesis, a design optimization tool that provides solutions to these engineering problems has been studied. This thesis covers an agile and efficient conceptual design optimization tool that ensures the optimal design to fulfill the requirements of the customer. Various system-engineering methods can be used to convert the customer’s requirements into technical parameters. Analytical Hierarchy Process (AHP) and Quality Function Deployment (QFD) methodologies are the most effective ones. With Analytical Hierarchy Process, requirements of the customer are prioritized, then they are linked to the technical parameters with Quality Function Deployment. In detail, QFD shows what the customer wants and how the designer can provide it. By this way, the order of importance of design parameters is revealed. In the meantime, weights of parts of the cost function which is used for optimization are also determined directly with the results of QFD analysis. For the missile design, external geometry properties are the most ascendant technical parameters. For this reason, in this thesis, the critical technical parameters, which are the geometric properties of the missile, are also studied. By optimizing the critical design parameters, the optimal missile configuration is achieved. In order to obtain the optimal missile configuration, Neural Network and Genetic Algorithm are used together. As a whole, this tool, which is the consideration point of this thesis, accelerates the conceptual design process, creates alternative configurations, optimizes them according to prioritized technical parameters, assesses them and selects the optimum alternative by incorporating the voice of the customer into the design loop.