Yazar "Ozgur, Ceyla" seçeneğine göre listele

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    3D-Printed Antenna Design Using Graphene Filament and Copper Tape for High-Tech Air Components
    (Sae Int, 2023) Aydin, Emine Avsar; Bicer, Mustafa Berkan; Mert, Mehmet Erman; Ozgur, Ceyla; Mert, Basak Dogru
    Additive manufacturing (AM) technologies can produce lighter parts; reduce manual assembly processes; reduce the number of production steps; shorten the production cycle; significantly reduce material consumption; enable the production of prostheses, implants, and artificial organs; and produce end-user products since it is used in many sectors for many reasons; it has also started to be used widely, especially in the field of aerospace. In this study, polylactic acid (PLA) was preferred for the antenna substrate because it is environmentally friendly, easy to recycle, provides convenience in production design with a three-dimensional (3D) printer, and is less expensive compared to other available materials. Copper (Cu) tape and graphene filament were employed for the antenna patch component due to their benefits. The comprehensive comparative analysis between a full-wave model and a 3D-printed prototype of the antenna via the CST Microwave Studio program was demonstrated here. The surface characterization was achieved with scanning electron microscope and energy dispersive X-ray (SEM-EDX) and X-ray diffractometer (XRD) analysis. The homogeneous Cu and oxidized graphene (GO) were detected. The weight percent of carbon (C) and oxygen (O) on the graphene surface was 59.82% and 40.18%, respectively. The Cu (111), Cu (200), and Cu (220) peaks were determined on the Cu tape. The GO (011) peak was seen in the XRD spectra of the graphene sheet. The simulation and measurement comparisons are quite satisfactory. The antennas, produced using a conventional 3D printer, will be beneficial for various applications in aeronautics and astronautics.
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    Investigation the fuel properties of apricot kernel biodiesel and diesel-biodiesel fuel blends
    (Elsevier Science Bv, 2018) Ozgur, Ceyla; Yakaryilmaz, Ali Cem; Tosun, Erdi; Akar, Mustafa Atakan; Ozgur, Tayfun
    [Abstract Not Available]
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    Optimisation of exhaust emissions, vibration, and noise of unmodified diesel engine fuelled with canola biodiesel-diesel blends with natural gas addition by using response surface methodology
    (Edp Sciences S A, 2024) Ozgur, Ceyla; Uludamar, Erinc; Soyhan, Hakan Serhad; Shah, Raja Mazuir Raja Ahsan
    The paper presents methods to determine the optimum input parameters of CNG addition, biodiesel blend ratio, and engine speed to improve engine responses in terms of exhaust emissions, vibration, and noise of CNG-biodiesel-diesel fuelled engines. Box-Behnken based on response surface methodology was used to predict and optimise input parameters. Variance analysis was applied to determine the significant relationship between the input parameters and engine responses. At optimum input parameters (CNG addition = 9.24 L/min, biodiesel blend ratio = 40%, engine speed = 1524.24 rpm), the optimum engine responses of NOx, CO, CO2, O2, engine vibration acceleration, and noise were 93.77 ppm, 438.05 ppm, 1.47%, 18.59%, 37.17 m/s2 and 91.34 dB[A], respectively. In terms of coefficient determination of R2, the values were 99.11%, 99.22%, 99.41%, 99.70%, 98.65%, and 98.60% respectively. The correlation between the optimised result and the engine test result showed an acceptable error limit for NOx, CO, CO2, O2, engine vibration acceleration, and noise as 4.2%, 3.8%, 4.9%, 0.25%, 4.12%, and 0.17%, respectively.
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    Optimization of biodiesel yield and diesel engine performance from waste cooking oil by response surface method (RSM)
    (Taylor & Francis Inc, 2021) Ozgur, Ceyla
    The aim of this study is to investigate optimization of biodiesel production process and the effects of biodiesel-diesel fuel blends on engine performance and exhaust emission parameters by using response surface methodology. Transesterification method was used in biodiesel production. The importance of four process parameters namely molar ratio, catalyst amount, reaction temperature, and reaction time on biodiesel conversion rate is determined. For the optimization process Box-Behnken design (BBD) based on RSM was used. An optimum biodiesel yield was 93.124% was obtained at 6.05:1 methanol to oil molar ratio, 0.77 wt% catalyst amount, 62.75 degrees C reaction temperature and 72.63 min reaction time. Engine operating parameters such as blend ratio of biodiesel fuel and engine speed have been optimized to obtain optimum performance and exhaust emission values. The experiments were designed using central composite design method based on RSM. The results revealed that when the engine was operated with 1943.51 rpm engine speed and fueled with a 9.17% biodiesel ratio as the optimal conditions, responses were determined as 44.8097 kW, 245.946 Nm 5.17481%, 262.235 ppm, and 810.227 ppm for power, torque, smoke opacity, CO, and NOx, respectively.
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    Optimization of exhaust emissions, vibration, and noise of a hydrogen enriched fuelled diesel engine
    (Pergamon-Elsevier Science Ltd, 2022) Uludamar, Erinc; Ozgur, Ceyla
    In this study, the effects of various input parameters are examined on exhaust emissions, vibration, and noise of an unmodified diesel engine. The primary aim of this study is to optimize the vibration, noise, and exhaust emissions of the engine to get optimal config-uration parameters. Experiments were carried out on a four-stroke, four-cylinder, diesel engine fuelled with diesel-biodiesel-hydrogen blends. To minimize the number of experi-ments Box-Behnken design (BBD) has been adopted. Optimum desirability is found as 0.862 with hydrogen addition of 4.63 L/min, fuel blend of 26.8% and 1500 rpm engine speed for the diesel engine. When the diesel engine is operated at 1500 rpm engine speed and fuelled with 4.63 L/min hydrogen addition and 26.8% biodiesel blend ratio; the optimum responses of CO, CO2, NOx, vibration, and noise are established as 214 ppm, 1.35%, 90.4 ppm, 38.6 m/s2, and 91.3 dB[A], respectively. The predicted values were confirmed experimentally and the errors in predicted values are found in a limit range.(c) 2022 Hydrogen Energy Publications LLC. Published by Elsevier Ltd. All rights reserved.
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    Prediction and optimization of the process of generating green hydrogen by electrocatalysis: A study using response surface methodology
    (Elsevier Sci Ltd, 2022) Ozgur, Ceyla; Mert, Mehmet Erman
    Nowadays, the interest in alternative fuels is increasing from day to day. Therefore, various studies are carried out on the production of hydrogen, which is considered as a clean energy source. The aim of this work is to investigate the hydrogen production efficiency of Ni and Cu deposited Ni foam electrodes with various amounts of compositions and the experimental studies for acquiring the maximum hydrogen efficiency were examined. Electrolysis time, electric voltage, and catalyst amount were chosen as the independent variables. The impacts of these independent variables on hydrogen production were interpreted statistically using the Design-Expert software. One of the significant advantages of this method is that it is possible to analyse more than one parameter by doing a small number of experimental studies. The created model identified the ideal parameters for obtaining optimum hydrogen generation as 30 min electrolysis time, 3 V electric voltage, and 11.35 mu g catalyst quantities.
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    Production of NiCoMo-Supported Ni Foam for Electrocatalytic Oxidation of Methanol: Experimental and RSM Analysis
    (Springer Heidelberg, 2024) Mert, Basak Dogru; Demir, Beyza Nur; Edis, Cansu; Akyildiz, Senay; Ozgur, Ceyla; Mert, Mehmet Erman
    The Ni-, Co-, and Mo-supported Ni foam (NiF-NiCoMo) was produced via galvanostatic method, and electrooxidation of methanol in alkaline medium was examined. The characterization was achieved using field emission scanning electron microscopy, energy-dispersive X-ray, and X-ray diffraction analysis. The electrochemical behavior was determined via cyclic voltammetry and chronoamperometry analysis. The contribution of each transition metal to electrocatalytic performance of NiF was monitored via mono, binary, and ternary modifications of each transition metal (Ni, Co, and Mo) for several amounts (5, 10, and 15 mu g). Experiments were performed to determine the influence of catalyst amounts, methanol concentration, and scan rate parameters. The impacts of independent parameters on methanol electrooxidation were statistically investigated using Design-Expert software. The ability to analyze multiple parameters with a limited number of experimental performances is one of the method's key benefits. The developed model showed that 9.41 and 14.03 mu g catalyst amounts were the appropriate values for NiF-NiMo and NiF-NiCoMo achieving optimal circumstances, respectively.