Browsing by Publisher "Sakarya University"
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Item Establishing a framework on OER practices for ICT competence of disabled citizens(Sakarya University, 2016) Altınay Z.; Ossiannilsson E.; Kalaç M.O.; Başarı G.; Aktepebaşı A.; Altınay F.The research encapsulates the framework on potential contributions of OER practices for supporting the ICT competence for disabled adult learners in building equal opportunities within the society. The study underlined the developing OER policy and framework to focus on digital citizenship competency for disabled adult learners. OER practices can promote the construction of digital societies which disabled citizens also need ICT and digital literacy to access, social inclusion, and participation. Significantly, developing OER policy in the area of vocational and professional knowledge promotes fostering ICT competence in order to enhance the quality of access and participation. Although the researches and projects are highlighted on OER practices and policies, this study become a debate on establishing OER practice and framework for supporting ICT competence and digital literacy for disabled learners. The study covers documentary analysis on real practices and research projects in developing country for creating a framework upon the needs of expectations and needs of disabled citizens to create access, social inclusion, participation to society and education for the collaboration. Further to this, this study encapsulates the evaluation of higher education institutions upon this scope. © The Turkish Online Journal of Educational Technology.Item What is the level of inquiry skills of science teacher candidates? Does it change by gender and class level?(Sakarya University, 2017) Şaşmaz Ören F.; Karapinar A.In today’s education system, individuals who are searching, questioning, learning to learn, producing knowledge, reaching knowledge, analyzing information, choosing useful knowledge are needed instead of individuals who are waiting for memorizing and ready information. The expectation of these qualities can be reflected to the school process by differentiating the knowledge and skills to be gained to the students. One of the skills discussed as common basic skills is inquiry skill. In this study, it is aimed to determine the inquiry skills of science teacher candidates and to examine them in terms of gender and class level. The study constitutes a survey research conducted with the participation of a total 247 pre-service teachers receiving education in first, second, third and fourth grades at the Celal Bayar University’s Faculty of Education in Turkey during the spring semester of 2014- 2015 academic years. In the study, ‘Inquiry Skills Scale’ was used in determining the questioning skills of the teacher candidates. The aforementioned inquiry skills scale consists of 14 items and three sub-dimensions (information acquisition, information control and self-confidence). The Kruskall-Wallis and the Mann- Whitney U tests are used along with the descriptive statistics for the analysis of the data. According to the results of the analysis, the ability of the teacher candidates to inquiry skills was found in the ‘above average’ range. When examined in terms of gender, the inquiry skills of the students shows a significant difference in favor of male students according to the gender variable in the subscale of self-confidence. From here, it can be said that the students’ self-confidence towards inquiry skill is higher in male students than in female students. According to the other sub-problem class level, there was no statistically significant difference between the classes. Although there is no significant difference, it is seen that the 4th grade level is higher than the other grade levels when the rank average scores are examined. Some suggestions have been made about the development of inquiry skills for these results. © The Turkish Online Journal of Educational Technology.Item Theory with practice binding instructional group activity gains in the eyes of teacher candidates(Sakarya University, 2017) Sasmaz Oren F.There is no doubt that one of the most targets of teacher education is that teacher candidates gain experience by implementing their theoretical knowledge they gained related to their fields and thus prepare themselves for the teacher’s profession. It is important for the professional equipment of teacher candidates that they conduct instructional implementation activities in courses suitable for developing this purpose. In this context is Instructional Group Activities Design (IGAD) developed regarding the professional development of teacher candidates is applied and their opinions with regards to the gains of these applications are obtained at the study. The Instructional Group Activities (IGA), conducted within the scope of the study, is performed during the implementation hours of the course ‘Special Teaching Methods I’. With these attributes, it can be said that the research is a qualitative study conducted with 56 teacher candidates. The opinions of the teacher candidates related to the gains of instructional group activities are obtained by a questionnaire form with open and closed end questions and face-to-face interviews. The teacher candidates have stated that they had more gains in the implementation part of the course compared with its theoretical part and noted that the application activities they performed during the course was beneficial with regards to the professional qualification and development. The participants to the study have expressed that they enjoyed the Instructional Group Activity applications and assessed their instructional experiences related to the applications in question as ‘quite good’. In addition, the candidates, who stated that these activities indicated that they gained diverse skills like using the research stages, cooperative learning, creativity, undertaking responsibility and expressing oneself, lead by critical, thinking through the Instructional Group Activities Design. Setting off from these results, the usability of instructional group activities design for teacher’s education is discussed and some suggestions are made. © The Turkish Online Journal of Educational Technology.Item Supervised Learning Approaches to Flight Delay Prediction(Sakarya University, 2020) Atlioğlu M.C.; Bolat M.; Şahin M.; Tunali V.; Kilinç D.Delays in flights and other airline operations have significant consequences in quality of service, operational costs, and customer satisfaction. Therefore, it is important to predict the occurrence of delays and take necessary actions accordingly. In this study, we addressed the flight delay prediction problem from a supervised machine learning perspective. Using a real-world airline operations dataset provided by a leading airline company, we identified optimum dataset features for optimum prediction accuracy. In addition, we trained and tested 11 machine learning models on the datasets that we created from the original dataset via feature selection and transformation. CART and KNN showed consistently good performance in almost all cases achieving 0.816 and 0.807 F-Scores respectively. Similarly, GBM, XGB, and LGBM showed very good performance in most of the cases, achieving F-Scores around 0.810. © 2020, Sakarya University. All rights reserved.Item Determining the Binding Capacities of Cr (VI) and Zn (II) Ions of Oscillatoria sp.(Sakarya University, 2020) Sezgin G.; Yildiz Ş.; Şentürk T.This study aimed to determine the removal capacity for Cr (VI) and Zn (II) ions from high concentration of aqueous solutions by using Oscillatoria microalgae. In the biosorption process, live and dead Oscillatoria cells were exposed for 24 hours to Cr and Zn metals of different concentrations (2.5, 5 and 10 mg/L). In addition, chlorophyll-a analysis have been made to examine the effects on cell metabolism of chromium and zinc metals. The best metal removal percentages was obtained; of chromium ion is 46.74% with dead cells and for zinc ion 82.53% with living cells. Chlorophyll-a analysis shows that when the metals separately applied on Oscillatoria cells, chlorophyll-a content of organism increase but when metals together applied decrease of chlorophyll-a content was observed. For this study, Freundlich model best fitted the data for two metal ions with 1/n value <1. This study revealed that Oscillatoria cells were an effective adsorbent for removal of the two heavy metals, especially Zn ions from aqueous solutions due to its high efficiency of Zn adsorption. It shows that it is a kind of potential for this heavy metal removal operations. © 2020, Sakarya University. All rights reserved.Item The Effect of Derived Features on Art Genre Classification with Machine Learning(Sakarya University, 2021) Abidin D.Classification of the artwork according to their genres is being done for years. Although this process was used to be done by art experts before, now artificial intelligence techniques may help people manage this classification task. The algorithms used for classification are already improved, and now they can make classifications and predictions for any kind of genre classification. In this study, two different machine learning algorithms are used on an artwork dataset for genre classification. The primary purpose of this study is to show that the derived features about the artwork have a remarkable effect on correct genre classification. These features are derived from the metadata of the dataset. This metadata contains information about the nationalities and the period that the artist lived. Image filters are also applied to the images but the results show that applying only image filters on the dataset used in the study did not perform well. Instead, adding derived features extracted from the metadata increased the classification performances dramatically. © 2021, Sakarya University. All rights reserved.Item Determination of Phenolic Compounds, Organic Volatile Molecules and Anti-Cancer Properties in Inula Viscosa L., Viscum Album L. and Raphanus Sativus L.(Sakarya University, 2021) Dilek Tepe H.; Uğurlu A.; Yazgan İ.The plants elecampane (Inula Viscosa L.), mistel (Viscum album L.) and black radish seed (Raphanus Sativus L.) have been used in the treatment of common diseases worldwide as part of traditional medicine for many years. Especially in Turkey, elecampane plant is commonly used as remedy of cancer. In this study, phytochemical components of these three plants were analyzed using liquid chromatography-mass spectrometer/mass spectrometer and gas chromatography-mass spectrometer techniques. Antioxidant activity of the characterized extracts were evaluated using DPPH assay, followed by biological properties were studied using MDA-MB-231 breast cancer line. Differences in the chemical compositions of the extracts resulted in alteration in antioxidant potentials, where elecampane gave the highest antioxidant activity while black radish seed extracts did not provide any meaningful results within the test period. Cytotoxicity studies showed that chemical composition is of the most prominent factor that defined the IC50 value of each extract, where pro-oxidant and antioxidant affects were observed in relation to presence of flavonoids. Mistel extract was further tested for wound healing and apoptosis tests, and the extract was obtained as a trigger for both apoptosis and wound-healing. The findings can be a basis for refinement as fractionation of the mistel and elecampane extracts so as to obtain the best mixture that can serve as strong anticancer agent mixture. © 2021, Sakarya University. All rights reserved.Item Noise Emission from Building Integrated Wind Turbines: A Case Study of a Tall Building(Sakarya University, 2021) Karadağ İ.; Kuruçay E.Tall buildings have the ability to produce wind energy, having been exposed to relatively high airflow speeds at a far distance from ground levels. However, with the introduction of wind energy into urban areas, there are many concerns. These include especially environmental noise impacts since the wind turbines will be located in dense urban areas where tall buildings are mostly located. Therefore, this increasing use of wind energy in the built environment has led to the publication of up-to-date regulations that limit noise levels for wind farms in many European countries. At this point, the following three aspects should be considered for noise emission: the noise source, the distance from the source, and the sound pressure level of the noise source. The choice of wind turbines for urban environments should, therefore, be compatible with low noise levels. In addition, careful positioning of turbines is also important (avoid locations where wind conditions are unfavorable, avoid sensitive places, i.e. areas at which noise levels must be low). It was necessary to calculate the noise in strong winds because the noise from a wind turbine rises with wind velocity. For the measurement of noise emitted from the wind turbine, two potential solutions were proposed until now; either it could be measured in a wind tunnel or it could be measured in the natural wind outside. However, in the early design stage, these types of measurement methods are mostly not preferable due to high financial requirements and long measurement processes. Hence, in this study, wind turbine noise is simulated via software. A case study of a tall mixed-use tower is chosen and the environmental noise distribution due to the wind turbine located on the roof of the tower is simulated. The results may provide an important guideline for architects looking for an acoustically comfortable way to integrate wind turbines into their buildings in the early design stage. © 2021, Sakarya University. All rights reserved.Item Corrigendum to “Dairesel Kesite Sahip Merkezi Çelik Çaprazların Performans Analizi” [Sakarya University Journal of Science, vol. 22, no. 2, pp. 340-349, 2018](Sakarya University, 2021) Yaman Z.; Ağcakoca E.; Alicioğlu M.B.The authors regret that the junior author's name, M. Berker Alıcıoğlu, was inadvertently omitted from the article. In addition, the acknowledgment section of our article should be removed. The authors would like to apologise for any inconvenience caused. © 2021, Sakarya University. All rights reserved.Item Artificial Intelligence Based Determination of Cracks in Eggshell Using Sound Signals(Sakarya University, 2022) Balci Z.; Yabanova İ.Although the egg is a cheap food source, it is one of the valuable nutritional sources for people because of its rich nutritional values. It is also among the most consumed foods in daily nutrition. With the increase in egg production, it is very difficult to collect them with the human power in the egg production farms, to classify them according to their weights and to separate the defective (dirty and broken) eggs. Therefore, the mechanization has become a necessity in large capacity production farms. Cracks and fractures may occur in the egg shell as a result of exposure to external factors such as the transportation of eggs. The cracks or fractures that are formed leave the egg vulnerable to disease-causing micro-organisms. Before the egg sorting and packing, the broken and cracked eggs must be separated. This process is commonly carried out with manpower by which it is very difficult to obtain the necessary efficiency. In this study, the egg crack detection was performed by using Support Vector Machines (SVM) and Artificial Neural Network (ANN). As a result of the application of studied methods, the accuracy values of crack detection process were 0.99 for ANN and 1 for SVM. In addition, a data acquisition and processing program was developed in LABVIEW environment to detect cracks in real time. © 2022, Sakarya University. All rights reserved.Item Decolorization of Some Textile Dyes Using Phormidium sp. in Heterotrophic Culture Conditions(Sakarya University, 2022) Senturk T.Cyanobacteria have gained interest in recent decades as intriguing potential bioresources candidates due to their potential applications in biotechnology. Under heterotrophic circumstances, the decolorization of Dianix Blue CC, Benazol Black Zn, and Dianix Yellow Brown CC by the low-cost biosorbent Phormidium (Cyanobacteria) with three different initial dye concentrations of 25, 50, and 100 mg/L was examined. For the best dye decolorization, the carbon source, incubation period, temperature, pH, and agitation rate were 10 g/L glucose, 168 h, 40 0C, 8.5, and 60 rpm, respectively. Phormidium showed high dye uptake, with maximum efficiency ranging from 20% to 40% (5.47 to 40.04 mgg-1) for Dianix Blue, 22% to 52% (5.95 to-52.32 mgg-1) for Benazol Black ZN and 20% to 68% (13.18 to 20.78 mgg-1) for Dianix Yellow Brown under heterotrophic conditions at all dye concentrations tested. The best color decolorization in terms of maximum efficiency was obtained 57% (57.76 mgg-1) for Dianix Blue, 74% (74.04 mgg-1) for Benazol Black at 100 mg/L and 77% (19.42 mgg-1) for Dianix Yellow Brown at 25 mg/L dye concentrations. The study reveals that the decolorization of dye process using Phormidium offers an efficient, quit of charges and environmentally friendly biosorbent for the remediation of textile effluents. © 2022, Sakarya University. All rights reserved.Item GC-MS Analysis and Apoptotic Effect of Paliurus spina-christi Mill. Leaf and Flower Extracts against Breast Cancer Cells(Sakarya University, 2022) Oguz F.; Çamli Pulat Ç.; İlhan S.; Atmaca H.In recent years, herbal medicines have become a significant novel source of treatment for various types of cancer, including breast cancer. Various investigations have declared that Paliurus spina-christi Mill. (PSC) shows antioxidant, antifungal, antimicrobial, and antibacterial properties, but its effect on cancer cells is unknown. This study purposed to evaluate the possible anti-cancer effects of the ethanolic extract of the PSC in human MCF-7 and MDA-MB-231 breast cancer cells. The leaf and flower extracts of PSC were prepared in ethanol and volatile compounds were determined by GC-MS analysis. The possible cytotoxic effects of extracts were evaluated via MTT assay. Apoptotic effect was examined using the PI Annexin V Apoptosis Detection Kit. Significant cytotoxic effects were detected after 72 h treatment of ethanolic leaf and flower extracts in MCF-7 cells but not in MDA-MB-231 cells. Both leaf and flower extracts of PSC induced apoptotic cell death in MCF-7 cells. On phytochemical screening, it was shown that the leaf extract of PSC contains pyrrolidine, 2-decenal, 2-undecanal, phytol, oleic acid, oleamide, squalane, vitamin E, and gamma-sitosterol and the flower extract contains pyrrolidine, 2-decenal, 2-undecenal, oleic acid, lupeol, and gamma-sitosterol. These data report that PSC leaf and flower extracts have cytotoxic and apoptotic effects in MCF-7 breast cancer cells. Moreover, this study can be considered an in vitro background for further in vivo cancer experiments. © 2022, Sakarya University. All rights reserved.Item Observation of Marine Areas (Çandarlı and Gökova Bays) and Their Biodiversity(Sakarya University, 2022) Kurt O.; Öztürk S.This study aimed to investigate to determine the number and biodiversity of species (especially seaweed populations) in the Çandarlı and Gökova Bays. Çandarlı and Gökova Bays are defined as "Special Environmental Protection Area (SEPA)" by the Ministry of Environment and Forestry of the Republic of Turkey, Special Environmental Protection Agency Presidency. For this purpose, in the study, i) description of habitats and facies in the studied areas, ii) determination of the number and diversity of species, iii) retrieval of underwater photo recordings, operations were carried out. The approach of collecting these data in such a way as to make comparisons and comments, especially for the future, has been followed. The literature shows that the existing ecological conditions and habitat characteristics of the areas restricted to SEPA and fisheries are studied. Thus, a comprehensive database is developed that will be extremely useful in terms of future works. On the other hand, the studies carried out are particularly inadequate for marine algae (macroalgae) in the related areas. As a result of the study, a total of 316 taxa were identified and observed, including 192 marine algae (20 Cyanobacteria, 54 Phaeophyceae, 93 Rhodophyta, 25 Chlorophyta), 3 seagrasses, 70 invertebrates (9 Porifera, 13 Cnidaria, 2 Annelida, 19 Mollusca, 16 Arthropoda, 10 Echinodermata, 2 Tunicata) and 51 fish (2 Chondrichthyes, 49 Osteichthyes). © 2022, Sakarya University. All rights reserved.Item Venom peptides of crotalus atrox against sars-cov-2 spike protein and human ace2 receptor by molecular docking analysis(Sakarya University, 2023) Ilhan S.Venoms are composed of about 100 to 500 pharmacologically active compounds. Less than 0.01% of these compounds have been identified and a significant majority of them act on unknown receptors. Here, the potential Severe Acute Respiratory Syndrome Coronavirus 2 (SARS-CoV-2) activities of selected Crotalus atrox venom peptides (CVPs) including Atrolysin D (AD), vascular apoptosis-inducing protein-1 (VAIP-1), Catrocollastatin (CC), and Calcium-Free Phospholipase A2 (CFP) were investigated via molecular docking analysis. CVPs were docked against human angiotensin-converting enzyme-2 (ACE-2) and 3- chymotrypsin-like protease (3CLpro) viral spike protein. All CVPs had low binding energies to both 3CLpro and ACE2, suggesting that they interacted strongly with the active sites of enzymes, compared to the reference drugs lopinavir and ritonavir. The binding energy of 3CLpro was -139.517 kcal/mol, -96.239 kcal/mol, -121.590 kcal/mol, -259.424 kcal/mol with AD, VAIP-1, CC, and CFP, respectively. CFP showed a very strong binding activity with 3CLpro, suggesting that it could be a very effective compound in inhibiting the SARS-CoV-2 virus. The binding energy of ACE2 was -101.165 kcal/mol, -73.064 kcal/mol, -106.918 kcal/mol, -82.830 kcal/mol with AD, VAIP-1, CC, and CFP, respectively. AD made a much stronger bond with ACE2 than reference drugs, showing that it could be used as a virusprotective component in humans. The results suggest a potential drug candidate for the development of therapeutics against Coronavirus disease 2019 (COVID-19). In vitro and in vivo experiments are needed to confirm these compounds' potential preventive and therapeutic effects. © 2020, Historical and Geographical Institute of Rio Grande do Sul. All rights reserved.Item Effect of various cross-sections on the flexural behaviour of composite beams(Sakarya University, 2023) Yigit E.; Saklakoglu N.This study investigated the influence of various cross-sections on the flexural properties of composite beams. Within the first stage of the paper, a finite element model represented the standard three-point bending test of a composite beam was developed. The model was correlated by mesh dependency analysis and a three-point bending test. After model correlation was completed, composite beam models with 6 cross-sections were generated as CAD data and imported to the correlated finite element model. As a result of the studies, it has been determined that the F profile is the most unstable profile compared to other sections, and the D profile is the most durable profile. © 2020, Historical and Geographical Institute of Rio Grande do Sul. All rights reserved.Item Transforming Sketches into Realistic Images: Leveraging Machine Learning and Image Processing for Enhanced Architectural Visualization(Sakarya University, 2023) Karadağ İ.This article presents a novel approach for transforming architectural sketches into realistic images through the utilization of machine learning and image processing techniques. The proposed method leverages the Stable Diffusion model, a deep learning framework specifically designed for text-to-image generation. By integrating image processing algorithms into the workflow, the model gains a better understanding of the input sketches, resulting in visually coherent and meaningful output images. The study explores the application of the Stable Diffusion model in the context of architectural design, showcasing its potential to enhance the visualization process and support designers in generating accurate and compelling representations. The efficacy of the method is evaluated through qualitative assessment, demonstrating its effectiveness in bridging the gap between initial sketches and photorealistic renderings. This research contributes to the growing body of knowledge on the integration of machine learning and image processing in architecture, providing insights and practical implications for architects, design professionals and researchers in the field. © 2023, Sakarya University. All rights reserved.Item Shear Capacity Prediction of Extremely-Loaded Box Culvert on Elastic Soil Using Artificial Neural Network(Sakarya University, 2024) Tuskan Y.; Uncu D.Y.A box culvert, buried at shallow depths beneath roadways, may experience deflections caused by the dynamic impact of traffic loading and the vertical pressure exerted by the soil fill. A computational model commonly employed used to various engineering issues, including those in geotechnical applications, is the beam-onelastic-foundation model. In this context, the Moment Distribution Method (MDM) must be applied to account for the elastic foundation. To achieve this, the internal forces acting on the ends of both exterior and interior walls are transferred to the beam-like bottom slab of the culvert, which rests on an elastic soil bed. Subsequently, the secondary internal forces are determined by refining the structural parameters, taking into account the characteristics of the elastic soil bed. This study presents the development and application of an Artificial Neural Network (ANN) model to predict the shear capacity of box culverts on elastic soil under traffic loading conditions. The proposed model is trained and validated using a comprehensive database of beam on elastic foundation solutions. The input parameters include the geometrical and mechanical properties of the culvert and the soil, as well as the loading conditions. The results of the ANN model show R2 values of 0.9633 and 0.9581 for the training and testing sets, respectively, indicating the model's excellent accuracy. These findings suggest that the ANN model can reliably predict the shear capacity of culverts. © 2024, Sakarya University. All rights reserved.Item Effect of Different Parameters on Enzymatic Hydrolysis of Hazelnut Shells(Sakarya University, 2024) Gezen Ö.; Deniz İ.In the last few decades, the increasing levels of environmental pollution have prompted a shift towards alternative energy sources and biobased solutions, such as lignocellulosic biomass. Lignocellulosic biomass (LB) is primarily derived from plants and is composed mainly of polysaccharides, namely cellulose, hemicellulose, and the aromatic polymer lignin. Hazelnut shells (HS), with a high lignin content of 43%, hemicellulose of 30%, and cellulose of 26%, hold promise as a valuable source of LB. In order to process those LB, lignin and hemicellulose are separated using various treatment methods. However, instead of being used solely for combustion, lignin-containing materials can be valorized for a range of purposes, from biomedical applications to the energy sector. In this study, the enzymatic hydrolysis of HS was conducted over different time periods (24, 48, 72, and 96 hours), at different temperature values with varying enzyme concentrations (0.05, 0.1, and 0.25 mL of cellulase/xylanase enzyme cocktail). To enhance the enzymatic hydrolysis, an alkaline pretreatment method using sodium hydroxide (NaOH) was employed. The results demonstrate that the maximum sugar concentration was achieved at 50°C, after 72 hours, and with a cellulase/xylanase cocktail concentration of 0.1 mL. © 2024, Sakarya University. All rights reserved.Item The Role of Water on the Oxidation Process of Graphene Oxide Structures(Sakarya University, 2024) Kanbur K.; Birlik I.; Sargın F.; Funda Ak Azem N.; Türk A.Graphene oxide (GO) has recently attracted attention with its unique chemical and physical properties and serves as a raw material for graphene-based materials. GO has been produced for decades by the Hummers Method with the oxidation process of graphite. The properties and structure of GO are significantly affected by the production parameters of Hummers Method. In this study, the effect of the water content on the oxidation level of GO structure was investigated. GO was produced with different amounts of water in the oxidation stage of Hummers Method. The structural characterizations of produced GO were carried out by X-ray Diffraction Technique (XRD), Fourier Transform Infrared Spectroscopy (FTIR), X-ray Photoelectron Spectroscopy (XPS), Energy Dispersive X-ray Spectroscopy (EDS), UV-Visible Spectroscopy (UV-Vis) and Raman Spectroscopy. Additionally, morphological and thermal characterization of the produced GO samples were performed by Scanning Electron Microscopy (SEM) and Thermogravimetric Analysis (TGA)/Differential Thermal Analysis (DTA), respectively. According to XRD, FTIR, XPS, and EDS results, it was determined that the oxidation degree of GO decreased with increasing amount of water. Besides, it was revealed that the post-oxidation step generated more defects in the basal plane of graphene according to the results of the Raman Analysis. Also, it was observed that GO had a smoother surface and was found to have higher thermal stability with increasing amounts of water. The results show that the post-oxidation step reduces the oxidation degree of GO, increases the amount of the defect, provides a less wrinkled structure, and improves the thermal stability of GO. © 2024, Sakarya University. All rights reserved.Item Investigation of the Effect of High-Frequency Induction Sintering on Phase Structure and Microstructure of SiC Reinforced Aluminum Matrix Composites(Sakarya University, 2024) Koç M.; Zeybek M.S.In this study, SiC-reinforced aluminum matrix composites were powder metallurgically (PM) prepared and sintered using high-frequency induction system (HFIS). The samples with different ratios of SiC (wt.%10, 20 and 40) added to the aluminum matrix were sintered at 660, 800, and 1000 °C. In addition, Al/SiC composites were compared by sintering with the conventional sintering (CS) method under similar sintering conditions. The heating rate for the sintering process using HFIS was 500 °C/min, while the CS method used a heating rate of 10 °C/min. The effect of the temperature and SiC ratio on the density, hardness, phase structure, and microstructure of composites was investigated. The optimum sintering temperature was determined according to the SiC additive amount. When 10%, 20%, and 40% SiC by weight were added to the aluminum matrix in the sintering process with HFIS, the required sintering temperatures were determined as 660, 800, and 1000 °C, respectively. While new phases were not formed as a result of short-term HFIS sintering, a high-temperature Al4C3 phase was detected in CS sintering. HFIS sintered Al/SiC composite samples were obtained in Al and SiC phases with high density and hardness ranging from 43-118 HV. In the high-temperature sintering process with HFIS, the formation of Al4C3 was prevented and its physical and mechanical properties were improved. © 2024, Sakarya University. All rights reserved.