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- MakaleYalnız künye2022Scopus SJRQ2MODELLING AND VALIDATION OF EFFECT OF BINDER TYPE ON FEEDING BEHAVIOUR OF SPHEROIDAL GRAPHITE CAST IRON
Çolak, Murat; Şekerden, Mete
In the casting method, it is crucial to properly make the moulding design to produce sound parts. Volumetric change, especially during the solidification of spheroidal graphite cast irons, may show different behaviour compared to steel and aluminium castings. In this study, castings were carried out with single and double feeders with varying casting parameters of green sand and resin mould sand containing different cross-sectional thicknesses. Depending on the chemical composition, mould rigidity and inoculation efficiency, and the importance of the feeder path was evaluated by experimental and modelling techniques. Consequently, it was observed that the risk of shrinkage in resin moulds is less than in green sand castings in the same moulding design. In addition, it has been found that the number of feeders and neck connection is an important parameter in pore formation.
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İncele - MakaleAçık Erişim2021Scopus SJRQ3Optimization of Extraction Parameters of Ethanol Extracts of Propolis Samples Using Artificial Neural Network and Moth-Flame Optimization Algorithm
Gurgen, Ayşenur; Serencam, Huseyin; Kara, Yakup; Can, Zehra; Ylldlz, Sibel
In this study, the optimum values of propolis ethanol extracts parameters were determined with the use of single and multi-objective optimization procedures. The euclidean distance approach was used in the multi-objective optimization process. Firstly, propolis was extracted using water with ethanol contents 40, 50, 60, 70 and 80% for 8, 10, 12, 16, 20 and 24 h. Then, total phenolic content (TPC) and ferric reducing antioxidant power (FRAP) activities of all extracts were determined. With the obtained data a prediction model was produced with the use of artificial neural networks (ANN), and optimization was performed using a moth-flame (MFO) algorithm. The best prediction models for the TPC and FRAP were observed in 2-5-1 and 2-5-1 network architecture with the mean absolute percentage error (MAPE) values, 5.126 and 2.451%, respectively. For maximum TPC, the extraction parameters were determined as ethanol content 57.5% and extraction time 13.56 h. To maximize FRAP, the optimized extraction parameters were ethanol content 72.03% and extraction time 18.04 h. The optimum extraction conditions for both maximum values of the studied assays were ethanol content 70.03% and extraction time 16.93 h. The study concluded that the integrated ANN and MFO algorithm system can be used in single and multi-objective optimization of extraction parameters. The established optimization model can save time, money, labor and energy.
AtıfScopus1WoS1OpenAlex1İncele - MakaleAçık Erişim2020Scopus SJRQ4Analysis of shear walls for a suitable opening
Can, Ömer; Tayfur, Bilal
The main purpose of shear walls in reinforced concrete structures is to resist the lateral forces affecting the structure. However, the openings created for architectural reasons significantly change the behaviour of the shear wall and cause short column formation and sudden collapse of the structure due to the openings on them. In this study, opening shear walls were analysed analytically. Twenty-nine different frames were selected and analysed according to predetermined parameters such as frame height, frame spacing, shear wall thickness, opening/frame height ratio, concrete flexibility, modulus and moment of inertia of frame columns. In this context, a total of 5200 linear elastic analyses were performed. The analysis was carried out on seven different parameters. As a result of the analysis, it has been found that there is a non-linear relationship between the opening width and the stresses in the columns, and a nonlinear relationship is predicted that it can directly trigger short column formation.
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