Browsing by Author "Bureerat, S."

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    Butterfly optimization algorithm for optimum shape design of automobile suspension components
    (Walter de Gruyter, 2020-04-01) Abderazek, H.; Sait, S.; Bureerat, S.; Yıldız, Betül Sultan; Yıldız, Ali Rıza; Albak, Emre İsa; Bursa Uludağ Üniversitesi/Mühendislik Fakültesi/Otomotiv Mühendisliği.; 0000-0001-9215-0775; 0000-0003-1790-6987; AAL-9234-2020; 57094682600; 7102365439; 57191051783
    This article presents an implementation of one of the latest optimization methods of obtaining light vehicle designs. First, the problem of coupling with a bolted rim is optimized using the butterfly optimization algorithm (BOA). Finally, the BOA is used to solve the shape optimization of a vehicle suspension arm. It is utilized from the Kriging metamodeling method to obtain equations of objective and constraint functions in shape optimization. At the end of the research effort in this paper, the weight reduction of the suspension arm by using the BOA is 32.9%. The results show the BOA's ability to design better optimum components in the automotive industry.
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    The equilibrium optimization algorithm and the response surface based metamodel for optimal structural design of vehicle components
    (Walter de Gruyter, 2020-05-01) Özkaya, Hüseyin; Yıldız, Mustafa; Bureerat, S.; Sait, SM.; Yıldız, Ali Rıza; Yıldız, Betül Sultan; Bursa Uludağ Üniversitesi/Mühendislik Fakültesi/Makine Mühendisliği.; AAL-9234-2020; F-7426-2011; 7102365439; 57094682600
    Due to harsh competitive conditions and the transition to new vehicles such as hybrid and full-electrical, the interest in the design of light and low-cost vehicles is increasing. In this paper, a recent metaheuristic procedure which is an equilibrium optimization algorithm (EOA) is used to solve a structural design optimization problem for a vehicle seat bracket to prove how the EOA can be used in solving industrial design problems. This paper is the first application of the EAO to real-world problems in the literature. The results strongly prove the capability of the EOA for designing optimum components in the automotive industry.
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    Seagull optimization algorithm for solving real-world design optimization problems
    (Walter de Gruyter, 2020-06-01) Panagant, N.; Pholdee, N.; Bureerat, S.; Sait, SM.; Yıldız, Ali Rıza; Bursa Uludağ Üniversitesi/Mühendislik Fakültesi/Makine Mühendisliği.; F-7426-2011; 7102365439
    In this research paper, a new surrogate-assisted metaheuristic for shape optimization is proposed. A seagull optimization algorithm (SOA) is used to solve the shape optimization of a vehicle bracket. The design problem is to find structural shape while minimizing structural mass and meeting a stress constraint. Function evaluations are carried out using finite element analysis and estimated by using a Kriging model. The results show that SOA has outstanding features just as the whale optimization algorithm and salp swarm optimization algorithm for designing optimal components in the industry.
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    Sine-cosine optimization algorithm for the conceptual design of automobile components
    (Walter de Gruyter, 2020-07-01) Pholdee, N.; Bureerat, S.; Sait, SM.; Yıldız, Betül Sultan; Yıldız, Ali Rıza; Bursa Uludağ Üniversitesi/Mühendislik Fakültesi/Makine Mühendisliği.; AAL-9234-2020; F-7426-2011; 57094682600; 7102365439
    In this paper, the sine-cosine optimization algorithm (SCO) is used to solve the shape optimization of a vehicle clutch lever. The design problem is posed for the shape optimization of a clutch lever with a mass objective function and a stress constraint. Actual function evaluations are based on finite element analysis, while the response surface method is used to obtain the equations for objective and constraint functions. Recent optimization techniques such as the salp swarm algorithm, grasshopper optimization algorithm, and sine-cosine algorithm are used for shape optimization. The results show the ability of the sine-cosine optimization algorithm to optimize automobile components in the industry.
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    The Henry gas solubility optimization algorithm for optimum structural design of automobile brake components
    (Walter de Gruyter, 2020-02-25) Pholdee, N.; Bureerat, S.; Sait, SM.; Patel, V.; Yıldız, Betül Sultan; Yıldız, Ali Rıza; Bursa Uludağ Üniversitesi/Mühendislik Fakültesi/Otomotiv Mühendisliği.; 0000-0003-1790-6987; AAL-9234-2020; F-7426-2011; 2-s2.0-85081692697
    As a result of the requirements imposed by international organizations and governments on fuel emissions, there is a growing interest in the design of lightweight vehicles with low-fuel emissions. Metaheuristic methods have been widely used for the optimum design of vehicle components in recent years for which successful results have been reported. Encouraged by such results obtained from the methods mentioned, the Henry gas solubility optimization algorithm (HGSO), a recently developed optimization method, is used to solve the shape optimization of a vehicle brake pedal to prove how HGSO can be used for solving shape optimization problems. This paper is the first application of the HGSO in connection with real-world optimization problems in the literature. The results show HGSO's ability to design better optimal components in the automotive industry.