Yazar "Arslanoğlu, Hasan" seçeneğine göre listele

Listeleniyor 1 - 20 / 59
  • Küçük Resim
    Öğe
    Adsorpsiyon ile Virüslerin Giderilmesine İlişkin Bir İnceleme
    (2023) Eren, Muhammet Şakir Abdullah; Tanaydın, Elif Sıla; Arslanoğlu, Hasan; Çiftçi, Harun
    2020 yılında Çin’in Hubei eyaletinin Vuhan şehrinden neredeyse tüm ülkelere yayılan Covid-19 (SARS-CoV-2 Enfeksiyonu)’un potansiyel tehlikeleri, dünya çapında bilim insanlarının ilgi odağı olmuştur. Covid-19’un pnömoniden ağır akut solunum yolu enfeksiyonlarına ve böbrek yetmezliğinden ölüme kadar uzanan ciddi etki süreçleri milyonlarca insan için tehdidini sürdürmektedir. Ortaya çıkan yeni viral enfeksiyonlarda uygun tedavi protokollerinin geliştirilmesi için pandemik türlerin izolasyonu büyük önem arz etmektedir. Bunun için yeni yöntemlerin yanında mevcut yöntemlerin de geliştirilmesi gereklidir. Virüsler doğada canlı formda bulunmazlar ve genetik materyalini aktarabilmek için başka canlılara ihtiyaç duyarlar. Ayrıca izole edilmiş yüzeylerde hızla inaktif hale getirilebilirler. Bu yönüyle su kaynakları ve hava en önemli iletim vasıtaları olarak karşımıza çıkmaktadır. Virüslerin yayılmasının önüne geçmede ve onları etkisiz hale getirmede iletim vasıtalarına yönelik adsorpsiyon işlemleri uygulanabilmektedir. Bu derlemede, virüslerin karbonlu, oksitli, gözenekli materyaller ve metal organik kafes yapıları içeren çeşitli adsorbanlarla etkileşimleri incelendi. Su ve hava arıtmasında kullanılan adsorbanların hedef türleri adsorplama işlemlerinde elektrostatik etkileşimlerin daha etkili olduğu belirlendi. Virüs yüzeyinin çeşitli organik fonksiyonel grupları taşıması nedeniyle farklı adsorbanlar ile elektrostatik etkileşime geçeceği ve bu şekilde de onların uzaklaştırılarak hem izole edilmesi hem de etkisiz hale getirilmesi mümkün görülmektedir. Çalışmamızın Koronavirüsler dahil diğer patojenlerin hava ve su kaynaklarına uygulanacak adsorpsiyon işlemleri ile yayılmalarının engellenmesine ve belirtilen iletim vasıtalarının dezenfekte edilmesine yönelik etkili çözümlere katkı sağlayacağını düşünmekteyiz.
  • Küçük Resim
    Öğe
    Adsorption of Reactive Black 5 dye from aqueous solutions with a clay halloysite having a nanotubular structure: Interpretation of mechanism, kinetics, isotherm and thermodynamic parameters
    (Elsevier, 2025) Türk, Feride Naime; Eren, Muhammet Şakir Abdullah; Arslanoğlu, Hasan
    In this study, the removal of Reactive Yellow 145 (RB5) dye found in wastewater with halloysite clay mineral (HCM), which is easily available and cheap, was investigated. For the characterization of the adsorbent; SEM, BET, XRD, and Zeta Potential Contact Angle analyses were performed. The effect of parameters such as solution pH, temperature, contact time, initial dye concentration, and adsorbent amount on the adsorption of RB5 dye onto HCM was investigated. It has been determined that the Langmuir isotherm fits the experimental data better than other applied isotherms in mathematically defining the adsorption equilibrium. In the Langmuir isotherm, the adsorption capacity was 24.9 mg/g. To find the most suitable kinetic model for the study using experimental data, Pseudo-First-Order, Pseudo-Second-Order, Elovich, and Intra-Particle Diffusion models were tested, and it was decided that the most suitable model would be the Pseudo-Second Order kinetic model. Again, using experimental data, thermodynamic parameters (Delta G degrees, Delta H degrees, Delta S degrees) were calculated, and it was determined that the adsorption process was spontaneous and endothermic.
  • Küçük Resim
    Öğe
    Application of activated carbon obtained from waste vine shoots for removal of toxic level Cu(II) and Pb(II) in simulated stomach medium
    (2023) Çiftci, Harun; Er Çalışkan, Çigdem; İçtuzer, Yusuf; Arslanoğlu, Hasan
    Copper and lead ions are the most important toxic metals that cause significant environmental and health problems. In this study, we focused on the development of a very cost-effective and environmentally friendly (renewable) remediation technique using vine sprout, an industrial beer waste and readily available agricultural biowaste. In this study, it was aimed to remove the copper and lead that enter the body for various reasons orally, from the simulated stomach medium (SSM) by adsorption in order to reduce their toxic effects on human health. Activated carbon (ACVS) obtained from vine shoots was used as adsorbent. By preparing an artificial stomach medium, the most suitable adsorption parameters (pH, time, mixing speed, amount of adsorbent, and the effect of other components) were examined in the batch system. Equilibrium adsorption data was interpreted using the Langmuir model. The initial Cu(II) and Pb(II) ion concentrations were 10 mg/L and the adsorbent amount was 0.3 g, and the maximum adsorption efficiency of Cu(II) and Pb(II) ions was 100% in the pH 3.5-6.5 range. The performance variables of the adsorbent used were compared with the performance variables of the commercial activated carbon (CAC) used in the emergency response. It was determined that the adsorbent used was more effective in removing copper and lead.
  • Küçük Resim
    Öğe
    Biodiesel Fuels Produced from Poppy and Canola Oils, Experimental Investigation of the Performance and Emission Values of the Samples Obtained by Adding New Types of Nanoparticles
    (Maik Nauka/Interperiodica/Springer, 2022) Demirpolat, Ahmet Beyzade; Uyar, Muhammed Mustafa; Arslanoğlu, Hasan
    In this study, poppy oil and canola oil were subjected to acid and base catalysed transesterification reactions and biodiesel fuels were obtained. In addition, tests of the additive-free state of standard diesel fuel and biodiesel were also performed for comparison. These fuels have been subjected to performance and emission tests in a direct injection three-cylinder diesel engine. These values are compared with the values of standard diesel fuel. According to the results obtained from engine tests, the biodiesel produced with poppy, canola oil, and nanoparticle additives generally showed similar properties with diesel fuel. In terms of volume, the increase in the biodiesel ratio in diesel fuel has been found to increase the specific fuel consumption and exhaust outlet temperature values. By using biodiesel-containing fuels, compared to diesel fuel, CO, HC, smoke emissions decreased, NOx, CO2, and O-2 increased. Biodiesel fuel samples with additives were obtained by adding a new type of CuO nanoparticle produced in the study to biodiesel-containing fuels. Comparison of the biodiesel samples and the fuel created by adding nanoparticles to these samples with the addition of nanoparticles, it has made a great contribution in the desired direction in the consumption of approximately 20% CO, 27% HC, 29% smoke (soot), and 16% specific fuel consumption. As an innovation to the literature, improvement in combustion and performance characteristics of biodiesel with nanoparticle additive, decrease in emission values and positive effect of this decrease on the environment were observed as a result of the study.
  • Küçük Resim
    Öğe
    Biosorption of rhodamine B and sunset yellow dyes on cross-linked chitosan-alginate biocomposite beads: Experimental and theoretical studies
    (Elsevier, 2025) Şenol, Zeynep Mine; Arslanoğlu, Hasan; Keskin, Zehra Seba; Mehmeti, Valbone; El Messaoudi, Noureddine
    This research explores the biosorption of Rhodamine B (Rd-B) and Sunset Yellow (SY) dyes using cross-linked chitosan-alginate (Ch-A) biocomposite beads, combining experimental investigations with theoretical studies to elucidate the biosorption mechanisms. The biocomposite beads were synthesized through an eco-friendly cross-linking method, and their structural properties were characterized using various characterization techniques. Complementary theoretical studies using Monte Carlo (MC) simulations and molecular dynamics (MD) calculations provided insights into the molecular interactions between the dyes and the biocomposite beads. ChA maximal biosorption capacity for Rd-B and SY was determined using the Langmuir model to be 43.6 mg g- 1 and 25.1 mg g- 1, respectively. Kinetic analysis elucidated that the biosorption process for Rd-B followed the pseudo first order (PFO) model and SY followed the pseudo second order (PSO) model. According to the thermodynamic characteristics, Rd-B and SY adsorb spontaneously and endothermically on Ch-A. In conjunction, MC and MD calculations were applied to probe the interactions between Rd-B and SY molecules and the Ch-A biocomposite beads, providing compelling evidence of robust binding interactions such as hydrogen bonds, electrostatic attractions, and it-it interactions. These theoretical insights were subsequently aligned with empirical observations, affirming a significant relation between the theoretical and experimental data. This study highlights the significance of combining experimental data with theoretical models to advance the development of environmentally friendly materials for water purification.
  • Küçük Resim
    Öğe
    Capric-stearic acid mixture impregnated carbonized waste sugar beet pulp as leak-resistive composite phase change material with effective thermal conductivity and thermal energy storage performance
    (Pergamon-Elsevier Science Ltd, 2022) Sarı, Ahmet; Hekimoğlu, Gökhan; Karabayır, Yasemin; Sharma, R. K.; Arslanoğlu, Hasan; Gencel, Osman; Tyagi, V. V.
    The present investigation aims to develop a potential composite phase change material (PCM) with leak-resistive and high thermal conductivity. Sugar beet pulp (CSBP) as an industrial waste was carbonized to produce a porous framework and used for solving leakage issue and boosting thermal conductivity of capric-stearic acid eutectic mixture (CSEM) used as PCM. FTIR and XRD results proved that the integration of CSEM and CSBP was carried out physically. The SEM analysis demonstrated that the CSEM was well uniformly impregnated within the pores of CSBP scaffold. DSC analysis revealed that the CSBP/CSEM (70 wt%) composite showed melting enthalpy and temperature as 117 J/g and 24 degrees C. The TGA measurements demonstrated that the produced composite was thermally stable. The incorporation of CSEM with CSBP leaded to a 79% increase in its thermal conductivity and this improvement was proved by comparing heating-cooling periods of CSEM and the composite PCM. The latent heat of the composite PCM was reduced less than 3% as its melting temperature was almost constant after 1000 thermal cycles. All findings of this work disclosed that the developed CSBP/CSEM as cost-effective and environmentally friendly composite PCM can be handled potential TES material for temperature controlling of buildings. (C) 2022 Elsevier Ltd. All rights reserved.
  • Küçük Resim
    Öğe
    Characterization of Sugar Beet Pulp Modified with Phosphoric Acid and its Use in Removal of Colored Matters and Cations from Thin Sugar Juice
    (Springer, 2023) Türk, Feride N.; Arslanoğlu, Hasan; Tümen, Fikret
    In this study, it has been determined that the cation removal capacity of the modified sugar beet pulp obtained by saponification with sodium hydroxide and esterification with phosphoric acid increased, and it provides significant color lightening and cation removal when contacted with thin sugar juice under suitable conditions. Although both the acidic and neutralized forms of this material show similar activities, the use of the neutralized form reduces the risk of inverting the sugar in the thin sugar juice. Sugar beet pulp was modified, and some properties were determined. Sugar beet pulp become more stable when modified with phosphoric acid. To reduce the amount of molasses, it is appropriate to use the material in an acid form together with an anion exchanger. It has advantages, such as the modification of sugar beet pulp with phosphoric acid can be done in sugar factories.
  • Küçük Resim
    Öğe
    Chitosan-Derived Porous Carbon for Efficient Adsorptive Removal of Amoxicillin and Doxycycline Antibiotics from Aqueous Systems
    (Springer Int Publ Ag, 2025) Türk, Feride N.; Arslanoğlu, Hasan
    Traditional antibiotic removal techniques-such as coagulation, membrane filtration, ozonation, and biodegradation-are often inadequate for large-scale applications due to limiting factors including high operational costs, complex system design, and the formation of toxic by-products. In addition, the low selectivity levels of these techniques and the need for additional post-treatment make it difficult to achieve effective and sustainable water treatment goals. The phosphoric acid-activated chitosan-derived carbon adsorbent proposed in this study demonstrated superior adsorption capacities for both amoxicillin and doxycycline, owing to its high surface area and abundant functional groups, aligning with sustainability principles. Thus, it stands out as an economical and environmentally friendly alternative that directly solves the shortcomings of previous methods. High-performance activated carbon was synthesized via phosphoric acid activation of chitosan for the removal of amoxicillin (AMX) and doxycycline (DOC) antibiotics from aqueous solutions. The adsorption efficiency was systematically evaluated in batch experiments at temperatures ranging from 30 to 50 degrees C, initial antibiotic concentrations of 50-400 mg/L, and pH levels spanning from 3 to 13. The phosphoric acid activation process significantly influenced the physicochemical properties of the resultant activated carbon, enhancing its structural and textural characteristics. The activated carbon exhibited a substantial surface area of 998.02 m2/g, a pore volume of 0.485 cm3/g, and an average pore diameter of 2.55 nm, structure favorable for adsorption. Furthermore, kinetic analysis revealed that the adsorption process followed the pseudo-first-order model, indicating that physisorption was the dominant mechanism. Equilibrium data were best described by the Langmuir isotherm model, highlighting monolayer adsorption on a homogeneous surface. The maximum adsorption capacities for AMX and DOC were determined to be 227.18 mg/g and 299.07 mg/g, respectively, at 50 degrees C, demonstrating the high affinity of the adsorbent for these pharmaceutical contaminants. These findings indicate that chitosan-derived activated carbon is a cost-effective, sustainable material with strong potential for removing antibiotic contaminants from wastewater.
  • Küçük Resim
    Öğe
    Cleaner production of polyurethane (PU) foams through use of hydrodesulfurization (HDS) spent catalyst
    (Springer Heidelberg, 2022) Yaras, Ali; Nodehi, Mehrab; Ustaoğlu, Abid; Arslanoğlu, Hasan; Sarı, Ahmet; Gencel, Osman; Özbakkaloğlu, Togay
    Due to the increased population in the urbanized areas, considerable attention is being paid on the development of energy-efficient buildings. In construction, the use of insulating foams has grabbed considerable attention in recent decades due to their porous structure that can reduce thermo-acoustic conductivity leading to higher energy efficiency. Nonetheless, the production of certain foams (e.g., polymer foams) is based on harmful chemical substances, such as isocyanate, as well as having difficulty being recycled. In this regard, this study adopted the use of hydrodesulfurization (HDS) spent catalyst, which is a byproduct of petroleum industry and is known to be a hazardous solid waste material, to produce a more environmentally friendly composite foam with lower thermal conductivity. In this sense, a series of material property tests, as well as thermal conductivity test, have been conducted. In addition, to further confirm the impact of HDS inclusion in the produced foams, energy cost savings and CO2 emission reduction based on their actual application in four different environments and four different fuel types for heating have been evaluated. The results are found to be highly promising and point to the great potential of utilizing HDS spent catalyst as a hazardous waste to enhance the efficiency of foams leading to CO2 emission and energy use reduction by up to 68.79 kg/m(2) and 8.6 kWh/m(2), respectively. Finally, this would reduce the heating cost, up to 0.69 $/m(2) in an idealized building. In the end, suggestions for future studies in this area are also provided.
  • Küçük Resim
    Öğe
    Comparative analysis of artificial neural networks and adaptive neuro-fuzzy inference system for biocomposite material synthesis and property prediction
    (Elsevier Science Sa, 2025) Aydin, Muhammet; Aydogmus, Ercan; Arslanoğlu, Hasan
    Biocomposite materials (BMs) are becoming increasingly prevalent in modern applications. Estimating their production values involves various techniques, depending on the proportions of materials used. Among these techniques, artificial neural networks (ANN), fuzzy logic, statistical methods, and the adaptive neural fuzzy inference system are prominent. In this study, polyester biocomposites have been synthesized experimentally by adjusting the quantities of methyl ethyl ketone peroxide (MEKP), cobalt octoate (Co Oc) metal catalyst, marble factory waste, modified castor oil (MCO), and polyester raw material (UP) in specific ratios. The testing and analysis of these materials are conducted to determine parameters such as bulk density (BD), thermal conductivity coefficient (TCC), and activation energy (Ea). Subsequently, input and output values of the BMs are obtained, and ANN and adaptive neuro-fuzzy inference system (ANFIS) methods are employed for assessment. Both networks are trained and modeled using experimental data to construct their respective architectures. Validation of the models has been performed using data separate from the training set. A comparison between the actual values and those predicted by the network architectures revealed that the ANN method yielded outcomes with an average error of 0.3849 %, outperforming ANFIS. The findings showed that while ANFIS produced superior predictions for the Ea output value, the ANN structure fared better in predicting output values the BD and TCC.
  • Küçük Resim
    Öğe
    Comparative Assessment of Lead (Pb) and Zinc (Zn) Leaching Behavior from Zinc Extraction Residues Using Monovalent and Divalent Chloride Salts
    (Springer, 2025) Türk, Feride N.; Uğur, Mücahit; Arslanoğlu, Hasan
    It is crucial for waste management to economically utilize the solid leach residues released in zinc production facilities, classified as hazardous waste because of the metals they contain, without harming the environment and human health. Although the disposal of these residues often requires special technologies, hazardous wastes are left in the environment or landfills because of the expense of these technologies and the inadequacy of legal sanctions in some cases. Therefore, it is important from both an economic and environmental perspective to evaluate these residues and return them to the industry. This work aims to extract Pb and Zn metals from zinc extraction residuals in the presence of various chloride salts such as magnesium chloride, calcium chloride and potassium chloride. For this purpose, the chemical analysis of ZER (zinc extraction residual) was conducted by the LiBO2 fusion-HNO3 solubilization method, and its Pb and Zn contents were found to be 15.88% and 10.02%, respectively. The leaching experiments were carried out in two ways. The first group of leaching experiments was carried out by boiling under reflux and stirring, and KCl salt was found to be the most suitable leaching agent. The second group of experiments was performed in Erlenmeyer flasks using a shaker incubator at different temperatures (25-55 degrees C) and at varied KCl concentrations (0.6-5 N). Based on the experimental findings, the extraction efficiency of lead (Pb) is substantially higher than that of zinc (Zn) in the presence of all investigated chloride salts. While Pb dissolution demonstrates a strong dependence on the chloride salt concentration, particularly beyond certain threshold levels, the Zn extraction yield exhibits minimal variation across the same concentration range. This indicates that chloride ions preferentially promote the solubilization of Pb species, likely due to the formation of more stable and soluble Pb-Cl complexes, whereas Zn appears to have a lower affinity for chloride complexation under the studied leaching conditions. On the other hand, the Pb extraction value increased with increasing KCl concentration, and it reached 80.9% in KCl concentration of 4 N. In addition, the amount of Zn dissolved at different KCl concentrations plateaued at 25%.
  • Küçük Resim
    Öğe
    Coordination-Driven Synthesis of Hierarchical Metal-Organic Network (MON) Particles for Efficient Cu(II) Removal: Structural Design-Characterization and Adsorption Performance
    (Springer Int Publ Ag, 2025) Türk, Feride N.; Arslanoğlu, Hasan
    Copper (Cu(II)) contamination in aquatic systems is a pressing environmental issue due to its high toxicity, bioaccumulation potential, and adverse effects on ecosystems and human health. Developing adsorbent materials with high capacity, structural stability, and tunable surface chemistry is essential for efficient water purification. In this study, hierarchical metal-organic network (MON) particles were synthesized via a coordination-driven polycondensation of polyphenols and formaldehyde, resulting in robust, fiber-like structures with well-defined micro- (similar to 1.6 nm) and mesopores (similar to 13.9 nm) and a high surface area of 212.58 m(2)/g. The hierarchical pore architecture enhances mass transfer and adsorption kinetics, enabling a maximum Cu(II) adsorption capacity of 417.21 mg/g at 301.15 K, following the pseudo-second-order kinetic model and Langmuir isotherm. Thermodynamic analysis revealed that adsorption is spontaneous and endothermic, indicating strong chemisorption interactions through oxygen-containing functional groups. These results demonstrate that coordination-driven self-assembly represents an effective strategy for designing high-performance adsorbents with controlled pore structures and superior metal-binding capabilities. Beyond Cu(II) removal, this approach holds significant potential for developing next-generation materials for advanced water treatment, environmental remediation, and sustainable resource recovery.
  • Küçük Resim
    Öğe
  • Küçük Resim
    Öğe
  • Küçük Resim
    Öğe
    Determination of thermophysical properties of Ficus elastica leaves reinforced epoxy composite
    (Fırat Üniversitesi Mühendislik Fakültesi, 2023) Buran, Abayhan; Durğun, Murat Ersin; Aydoğmuş, Ercan; Arslanoğlu, Hasan
    In this study, Ficus elastica leaves have been reinforced into an epoxy composite and some physical and chemical characterization of the obtained composite is made. Ficus elastica leaves are ground between 297 and 149 microns. The biomass (Ficus elastica) prepared as a filler material is kept in sodium hydroxide (% 7 NaOH) solution for 24 hours for alkali activation. It is then washed three times with distilled water and dried in an oven at 75 °C for 3 hours. Composite production is carried out by reinforcing the prepared filler to the epoxy resin in certain proportions by mass. The effect of the biomass filler added at the rate of 0 wt.%, 1 wt.%, 3 wt.%, 5 wt.%, and 7 wt.% on the density, Shore D hardness, thermal conductivity coefficient, and activation energy of the epoxy composite is determined. According to the results obtained, the density of the epoxy composite decreases as the filler ratio in the mixture increases. Shore D hardness of epoxy composite decreases with the addition of biomass filler. The epoxy composite produced with biomass reinforcement reduces both the thermal conductivity coefficient and the activation energy. Besides, when the chemical bond structure of the obtained polyester composite is analyzed by Fourier transform infrared spectrometer (FTIR), it is seen that there is a physical interaction. According to scanning electron microscopy (SEM) images, 5 wt.% and 7 wt.% reinforcement of Ficus elastica leaves negatively affects the surface morphology of the epoxy composite.
  • Küçük Resim
    Öğe
    Development of Polyurethane-Based Composites With Salt Clay and Industrial Wastes as Fillers: Corrosion, Mechanical Properties, and Machine Learning Insights
    (Wiley, 2025) Dağ, Mustafa; Aydoğmuş, Ercan; Arslanoğlu, Hasan; Yalçın, Zehra Gülten; Barlak, Semahat
    In this study, a polyurethane-based composite is developed by incorporating salt clay, ulexite, colemanite, and various other industrial waste materials. The effects of these fillers on the composite are evaluated and modeled using machine learning techniques. Among the tested models, random forest and neural network demonstrate the highest performance in predicting changes in compressive strength, hardness, and thermal conductivity. The dispersion of salt clay within the polyurethane matrix provides a 300%-500% increase in compressive strength and a 25%-40% improvement in hardness. Ulexite enhances compressive strength by 250%-350% and increases hardness by up to 30%, while colemanite contributes to a 400%-500% rise in compressive strength and a 35%-40% improvement in hardness. The addition of K & imath;rka clay waste and tincal further improves the composite's hardness and overall durability. Fly ash significantly increases compressive strength, although its effect on hardness is limited. The machine learning models effectively capture the relationship between input parameters and composite performance. The random forest model achieves a mean squared error (MSE) of 0.15 for compressive strength and 0.20 for hardness, while the neural network model yields the best results for thermal conductivity prediction with an MSE of 0.12. These findings highlight the potential of the developed composite for industrial applications, particularly in thermal insulation and low-load structural components. Future studies will focus on evaluating its performance under real-world conditions and further assessing its long-term durability.
  • Küçük Resim
    Öğe
    Diatomite reinforced modified safflower oil-based epoxy biocomposite production: Optimization with RSM and assessment of outcomes by ANN
    (Elsevier, 2023) Dağ, Mustafa; Aydoğmus, Ercan; Yalçın, Zehra Gülten; Arslanoğlu, Hasan
    In this study, a biocomposite based on modified safflower oil (MSO) has been created and its structure has been reinforced with diatomite. The weight of the petrochemical raw material utilized is decreased with the usage of MSO, and diatomite is employed to create a novel, environmentally friendly biocomposite. Response surface methodology (RSM) is used to optimize experimental research while taking the resulting biocomposite's thermophysical properties into consideration. The chemical bond structure of the biocomposite is examined using Fourier transform infrared (FTIR) spectroscopy. For thermal decomposition behavior, thermogravimetric analysis (TGA) is performed, and scanning electron microscopy (SEM) is used for surface morphology. Additionally, research has been done on the diatomite-reinforced MSO-based biocomposite's Shore D hardness, density, and thermal conductivity coefficient. It has been found that MSO interacts well with diatomite to improve some of the biocomposite's features and to help it create new ones. The employment of an artificial neural network (ANN) and RSM has been shown to facilitate the effective and efficient execution of experimental research and the more accurate evaluation of results. According to RSM, biocomposite production with 65 wt% epoxy A, 34 wt% epoxy B, 8 wt% MSO, and 5 wt% diatomite is optimum.
  • Küçük Resim
    Öğe
    Drying behavior for Ocimum basilicum Lamiaceae with the new system: exergy analysis and RSM modeling
    (Springer Science and Business Media Deutschland GmbH, 2022) Demirpolat, Ahmet B.; Aydoğmuş, Ercan; Arslanoğlu, Hasan
    In this study, drying kinetics of Arapgir purple basil leaves under the isothermal and non-isothermal conditions have been investigated. Effective methods were evaluated by drying freshly collected basil leaves in the sun, isothermal, and non-isothermal systems. Energy efficiency was compared in different drying processes by performing exergy analysis in the drying process. It has been observed that the energy consumed and lost especially in the convection drying system (tray dryer) is very high. In the experiments performed in the PID (proportional integral derivative) system, the lowest efficiency was found in the isothermal process. Accordingly, the most suitable system in exergy efficiency was determined as the non-isothermal PID system. Maximum energy loss and minimum exergy efficiency were found at 45 °C temperature and 3.0 m/s airflow rate in the convection drying process. Exergy efficiencies were found to be approximately 4% in the convection tray dryer, 26% in the PID system under isothermal conditions, and 32% in the PID system under non-isothermal conditions. Optimization parameters in the drying process were determined by the response surface methodology (RSM), and the kinetic models were compared with the help of statistical analyses in the experiments. Midilli and Kucuk model has been found as the most compatible kinetic equation with the experimental data. According to this model results, correlation coefficient (R2 > 0.990), sum of squared error (SSE˂0.005), chi-square (χ2˂1·10−5), and root mean square error (RMSE˂0.003) values have been evaluated.
  • Küçük Resim
    Öğe
    DTPA-Assisted Selective Leaching of Mo, Co, Ni, and Al from Spent Hydrodesulfurization Catalysts
    (Springer, 2025) Türk, Feride N.; Arslanoğlu, Hasan
    The extraction of cobalt (Co), nickel (Ni), molybdenum (Mo), and aluminum (Al) from an alumina-supported hydrodesulfurization (HDS) spent catalyst was examined using diethylene triamine pentaacetic acid (DTPA) as a chelating agent. To assess the impact of different metals on leaching efficiency, a roasting pretreatment was performed on powdered catalyst samples at various temperatures (300-700 degrees C) and durations (15-360 min). The morphological and textural modifications before and after roasting were characterized using scanning electron microscopy (SEM) and Brunauer-Emmett-Teller (BET) analysis. The optimal roasting parameters were determined to be 600 degrees C for 180 min, under which the maximum metal extraction efficiencies were obtained: 71.05% for Mo, 80.06% for Co, 73.86% for Ni, and 15.33 % for Al. Leaching experiments were conducted with a particle size range of + 75 to - 30 mu m, a liquid-to-solid ratio of 15 mL/g, a DTPA concentration of 0.2 M, a leaching temperature of 60 degrees C, a duration of 180 min, and a stirring rate of 200 rpm. The findings highlight that both roasting temperature and time play a crucial role in enhancing metal dissolution from the spent catalyst.
  • Küçük Resim
    Öğe
    Effects of molecular weight of polyethylene glycol with size and ratio of fumed silica on rheological behavior of shear thickening fluid
    (Elsevier Ltd, 2024) Yanen, Cenk; Solmaz, Murat Yavuz; Aydoğ, Ercan; Arslanoğlu, Hasan
    The rheological models of shear thickening fluids (STFs), which have recently been used in many fields, are estimated using a statistical method in this study. Although research has been carried out to predict the rheological properties of STFs, the variation of the basic parameters affecting the rheological properties has not been studied much in these estimations. To produce shear thickening fluids, silica nanoparticles have been dispersed in polyethylene glycol (PEG). To make the rheological model estimation correctly, nanoparticle ratios (10 wt%, 15 wt%, 20 wt%, 25 wt%), the particle sizes (9 nm, 12 nm, and 14 nm), and the molecular weight of the liquid mediums are produced by changing three different sample set is used. At high shear rates, mixtures of fumed silica (aerosil) and PEG display shear thickening behavior. In the low shear rates (0-200 s-1), this mixture exhibits shear thinning property, while in the high shear rates (200-1000 s-1), shear thickening behavior. Fumed silica-PEG suspensions show pseudoplastic behavior in the first region and dilatant properties in the second region. Equations from theory are used to model the outcomes of the experimental data. Non-Newtonian models are used, and the best model is chosen based on the rheological behavior of the mixes. Herschel-Bulkley is discovered to be the most suitable non-Newtonian model in the first and second regions.