ceyla ozgur

@atu.edu.tr

Adana alparslan türkeş science and technology university
Adana Alparslan Türkeş Science and Technology University

ceyla ozgur


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https://researchid.co/tayfun85

EDUCATION

Doctorate

RESEARCH, TEACHING, or OTHER INTERESTS

Renewable Energy, Sustainability and the Environment, Mechanical Engineering
16

Scopus Publications

Scopus Publications

  • Analytical study on mild steel corrosion inhibition in acidic environment: DFT modeling and RSM optimization
    Mehmet Erman Mert, Ceyla Güngör, Başak Doğru Mert
    Fuel, 2025
    • Evaluated corrosion inhibition potential of some heterocyclic compounds . • Identified key functional groups (thiol, amide , carboxylic acid , imidazole , thiazole). • DFT calculations provided structural insights into corrosion inhibition mechanisms. • 2-methyl-1,3-thiazole-4-carbothioamide and 4-aminothieno[2,3-d]pyrimidine-2-thiol showed IE% of 98.96 and 98.66. • Validation experiments confirmed model accuracy with average errors as low as 0.05%. This study investigates the corrosion inhibition potential of various heterocyclic compounds, including 1,3-Thiazole-4-carbothioamide, 4-aminopyrazolo[3,4-d]pyrimidine, pyrimidine-2-thiocarboxamide, 1,2,4-oxadiazole-3-carbothioamide, 1H-imidazole-4-carbothioamide, 2-methyl-1,3-thiazole-4-carbothioamide, 4-aminothieno[2,3-d]pyrimidine-2-thiol, and 2-isopropyl-4-methyl-1,3-thiazole-5-carboxylic acid, selected for their structural characteristics that make them effective in fuel applications. The presence of functional groups such as thiol, amide, carboxylic acid, imidazole, and thiazole in these compounds enhances their ability to adsorb onto metal surfaces, forming protective layers that significantly inhibit corrosion. These compounds were chosen not only for their strong interaction with metal substrates but also for their stability and durability under various environmental conditions, which are important for fuel systems. Density Functional Theory (DFT) calculations were performed to give structural insights, which are essential for understanding the corrosion inhibition mechanism of the examined compounds. The inhibition performance of these molecules were investigated in 0.5 M HCl via electrochemical impedance spectroscopy technique for mild steel (MS) containing various inhibitor concentrations (1;3 and 5 mM) and exposure times (1; 24 and 48 h). Particularly, the higher inhibition efficiency of compounds; 2-methyl-1,3-thiazole-4-carbothioamide and 4-aminothieno[2,3-d]pyrimidine-2-thiol from their structural and electronic properties. The variable inhibition efficiency observed among different compounds investigates the importance of methods Response Surface Methodology (RSM) for systematically analyzing concentration, time, and molecular structure interactions. The experimental results indicated that 2-methyl-1,3-thiazole-4-carbothioamide and 4-aminothieno[2,3-d]pyrimidine-2-thiol exhibited significantly higher inhibition efficiency at a concentration of 5 mM and an exposure duration of 48 h, with inhibition efficiencies of 98.96 % and 98.66 % respectively.
  • Optimization of hydrogen production via electrocatalysis using NiCoMo-modified electrodes: An RSM approach
    Şekip Caner Esmerli, Ceyla Güngör, Mehmet Erman Mert
    International Journal of Green Energy, 2025
    The depletion of fossil fuels and the environmental impact of their combustion have increased the demand for sustainable energy alternatives, with hydrogen appearing as an appropriate option due to its clean energy potential. This study focuses on developing a laboratory-scale alkaline electrolysis system for hydrogen production. Platinum, known for its high catalytic activity and durability, was employed as the anode, while graphite was selected as the cathode for its cost-effectiveness. To enhance catalytic performance, the graphite electrodes were modified with nickel-cobalt-molybdenum (NiCoMo) using a galvanostatic method. The electrode voltage and molarity were chosen as independent variables to evaluate their effect on hydrogen production. Using the Design-Expert software, the optimal conditions were identified at 3 V and 1.5 mol/l, yielding 10.67 ml of hydrogen. The coefficient of determination (R2) values 98.81% for R2, 97.96% for adjusted R2, and 91.63% for predicted R2 indicate suitable model accuracy. The error margin between experimental and optimized results was only 1.7%, confirming the reliability of the method. This study highlights the potential of NiCoMo-modified electrodes to enhance hydrogen production efficiency. Future research could explore scaling up the system and integrating it with renewable energy sources, positioning this method as a viable pathway toward sustainable hydrogen production.
  • Production of NiCoMo-Supported Ni Foam for Electrocatalytic Oxidation of Methanol: Experimental and RSM Analysis
    Başak Doğru Mert, Beyza Nur Demir, Cansu Edis, Şenay Akyıldız, Ceyla Özgür, Mehmet Erman Mert
    Arabian Journal for Science and Engineering, 2024
    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 μg). 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 µg catalyst amounts were the appropriate values for NiF–NiMo and NiF–NiCoMo achieving optimal circumstances, respectively.
  • 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
    Ceyla Özgür, Erinç Uludamar, Hakan Serhad Soyhan, Raja Mazuir Raja Ahsan Shah
    Science and Technology for Energy Transition Stet, 2024
    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.
  • Prediction and optimization of the process of generating green hydrogen by electrocatalysis: A study using response surface methodology
    Ceyla Özgür, Mehmet Erman Mert
    Fuel, 2022
  • 3D-Printed Antenna Design Using Graphene Filament and Copper Tape for High-Tech Air Components
    Emine Avşar Aydın, Mustafa Berkan Biçer, Mehmet Erman Mert, Ceyla Özgür, Başak Doğru Mert
    SAE International Journal of Aerospace, 2022
    <div>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.</div>
  • Optimization of exhaust emissions, vibration, and noise of a hydrogen enriched fuelled diesel engine
    Erinç Uludamar, Ceyla Özgür
    International Journal of Hydrogen Energy, 2022
  • Optimization of biodiesel yield and diesel engine performance from waste cooking oil by response surface method (RSM)
    Ceyla Özgür
    Petroleum Science and Technology, 2021
    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 °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.
  • Prediction of density and kinematic viscosity of biodiesel by artificial neural networks
    Ceyla Özgür, Erdi Tosun
    Energy Sources Part A Recovery Utilization and Environmental Effects, 2017
    Environmental pollution is one of the biggest issues all over the world. For this reason, researchers try to find alternative fuels for diesel engines, and biodiesel is the most profitable alternate fuel for diesel engines. In this study, biodiesel produced from cotton oil was used. The produced cotton oil biodiesel was mixed with diesel fuel at volumetric fraction of 20, 30, 40, 50, and 75%. Viscosity and density values at different temperatures for each fuel and blends were determined experimentally. Then, artificial neural network technique was used to predict viscosity and density. In this way, temperature and blend ratio were used as input for prediction of fuel properties. To train network, 85% of total data were used, and the remaining 15% of data were used to test prediction performance of structure. Results were compared with linear regression modelling. As a result, artificial neural network gave more accurate results than linear regression and can be suggested as good a prediction method.
  • The Potential of Microalgal Biodiesel in Turkey
    G. Tüccar, C. Güngör, E. Uludamar, K. Aydin
    Energy Sources Part B Economics Planning and Policy, 2015
    Turkey has limited petroleum reserves which causes the country to become a foreign dependent in respect to energy. As a result, the dependency level of Turkey on foreign fossil fuel suppliers reaches around 70%. Biodiesel, which has a more favorable combustion emission profile, relatively high flash point, and good lubrication properties, can be an effective alternative energy source. However, to provide the necessary amount of oil from agricultural products may affect food production and require a high amount of water and fertilizer. With their high oil content and high productivity rates, microalgae seems to be the best source of fuel which can replace petroleum products totally. This article introduces methods of microalgae production and discusses the potential of Turkey to pass microalgal biodiesel technology.
  • Engine performance and emission characteristics of plastic oil produced from waste polyethylene and its blends with diesel fuel
    Ceyla Güngör, Hasan Serin, Mustafa Özcanlı, Selahattin Serin, Kadir Aydın
    International Journal of Green Energy, 2015
  • Effect of nanoparticle additives on NOx emissions of diesel fuelled compression ignition engine
    Tayfun Ozgur, Gökhan Tuccar, Erinç Uludamar, Ali Can Yilmaz, Ceyla Güngör, Mustafa Ozcanli, Hasan Serin, Kadir Aydin
    International Journal of Global Warming, 2015
  • Investigation of effects ofinlet boundary conditions on the flow behaviour in a diesel injector
    Gökhan Tuccar, Tayfun Ozgur, Erdi Tosun, Ceyla Ozgur, Kadi̇r Aydin
    Advanced Materials Research, 2014
  • Numerical studies of engine performance, emission and combustion characteristics of a diesel engine fuelled with hydrogen blends
    Tayfun Ozgur, Erdi Tosun, Ceyla Ozgur, Gökhan Tuccar, Kadir Aydın
    Advanced Materials Research, 2014
  • Investigation of engine performance and emission characteristics of SI engine fuelled with ethanol blends by numerical simulation
    Ceyla Ozgur, Erdi Tosun, Tayfun Ozgur, Gökhan Tuccar, Kadi̇r Aydin
    Advanced Materials Research, 2014
  • Biodiesel fuel specifications: A review
    M. Ozcanli, C. Gungor, K. Aydin
    Energy Sources Part A Recovery Utilization and Environmental Effects, 2013