Browsing by Author "Sait, Sadiq M"
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Item Automated design of aircraft fuselage stiffeners using multiobjective evolutionary optimisation(Inderscience Enterprises, 2020-09-22) Sarangkum, Ruangrit; Wansasueb, Kittinan; Panagant, Natee; Pholdee, Nantiwat; Bureerat, Sujin; Sait, Sadiq M; Yıldız, Ali Rıza; Bursa Uludağ Üniversitesi/Mühendislik Fakültesi/Makina Mühendisliği Bölümü.; F-7426-2011; 7102365439This paper proposes an optimisation process for the design of aircraft fuselage stiffeners using evolutionary optimisation. A new design problem is developed to find a layout for fuselage stiffeners (rings and stringers) such that the structural mass, compliance, and the first-mode natural frequency can be optimised, subject to structural constraints. The stiffeners are modelled as beam elements. Three multiobjective meta-heuristics are employed to solve the problem, and a comparative study of the results of these optimisers is carried out. It is found that the proposed layout synthesis problem for aircraft fuselage stiffeners leads to a set of efficient structural solutions, which can be used at the decision-making stage. It is an automated design strategy with high potential for further investigation.Item A novel hybrid water wave optimization algorithm for solving complex constrained engineering problems(Walter de Gruyter, 2021-06-01) Pholdee, Nantiwat; Sait, Sadiq M; Ali Rıza; Bureerat, Sujin; Gürses, Dildar; Yıldız, Ali Rıza; Sujin; Bursa Uludağ Üniversitesi/Mühendislik Fakültesi/Makina Mühendisliği Bölümü.; Bursa Uludağ Üniversitesi/Mühendislik Fakültesi/Otomotiv Mühendisliği Bölümü.; https://orcid.org/0000-0002-6332-1202; JCN-8328-2023; EJQ-5280-2022; 57224107786; 14063067200In this work, a new hybrid optimization algorithm (HWW-NM), which combines the Nelder-Mead local search algorithm with the water wave algorithm, is introduced to solve real-world engineering optimization problems. This paper is one of the first studies in which both the water wave algorithm and the HWWNM are applied to processing parameters optimization for manufacturing processes. HWW-NM performance is measured using the cantilever beam problem. Additionally, a problem for milling manufacturing optimization is posed and solved to evaluate HWW-NM performance in real-world applications. The results reveal that HWW-NM is an attractive optimization approach for optimizing real-life problems.