Scopus İndeksli Yayınlar Koleksiyonu / Scopus Indexed Publications Collection

Permanent URI for this collectionhttps://hdl.handle.net/20.500.14517/19

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Accurate Prediction of Physical Properties of Different Freons via Different Machine Learning Models
(Elsevier Ltd, 2025) Du, J.; Karimi, M.; Khalaf, M.I.; Al-Nussairi, A.K.J.; Sawaran Singh, N.S.S.; Hasson, A.R.; Ahmad, Z.
Accurate prediction of refrigerant properties is essential for the design, optimization, and energy efficiency of cooling systems. R-12 and R-22 are among the most widely used refrigerants in industrial and domestic applications. Yet, their thermodynamic behavior is highly nonlinear and difficult to represent with traditional models, particularly under varying operating conditions. These challenges underscore the need for advanced data-driven methods, and machine learning presents a promising solution for enhancing predictive performance. In this research, four machine learning techniques were applied. The models considered were Least-Squares Boosting (LSBoost), Generalized Linear Model (GenLin), Multi-Layer Perceptron Artificial Neural Network (MLP-ANN), and Support Vector Regression (SVR). A dataset collected under controlled laboratory conditions was used for training and testing. The goal was to predict three fundamental refrigerant properties, namely density, velocity, and temperature. These properties were selected because they significantly impact refrigerant mass flow rate, heat transfer efficiency, pressure drop, and overall system performance. The analysis showed that LSBoost consistently achieved the highest predictive accuracy. In density estimation, it achieved an RMSE of 7.69E-04, a Pearson correlation coefficient of 0.9935, a coefficient of determination of 0.9968, a mean absolute percentage error of 5.7847, and a Kling-Gupta efficiency of 0.9736. In contrast, the Generalized Linear Model delivered substantially weaker results. In velocity prediction, LSBoost achieved a Pearson correlation coefficient of 0.9982 and an RMSE of 2.30 × 10^-5, with a coefficient of determination of 0.9978. At the same time, the Multi-Layer Perceptron reached only 0.2132 for the coefficient of determination. For temperature estimation, LSBoost produced an RMSE of 4.3644, a Pearson correlation coefficient of 0.9983, and a coefficient of determination of 0.9992, in contrast to Support Vector Regression, which yielded an RMSE of 92.344. Overall, the study demonstrated that LSBoost was a highly accurate and reliable tool for predicting complex thermodynamic properties of refrigerants, supporting its application in thermodynamic modeling and refrigeration system design. However, the relatively small dataset and simplified input features represented important limitations that may reduce generalizability. Future research should therefore involve larger and more diverse datasets to strengthen the applicability of the proposed approach in real-world engineering contexts. © 2025 Elsevier B.V., All rights reserved.
Analysis and Implementation of Sensorless Pmsm Drive With Reduced Dc-Link Capacitance Under Parameter Variations
(Ieee, 2024) Sumsek, Reha Ozgur; Calik, Ramazan; Yavuz, Fikri Serkan; Kivanc, Omer Cihan
In AC drives used in heating, ventilation and air-conditioning applications, film capacitors are becoming widespread instead of electrolytic capacitors in DC-link. These drives with reduced capacitor value provide cost and volume advantages. However, dc-link oscillation increases due to the reduced capacity value. These oscillations cause instability, overvoltage and an increase in total harmonic distortion (THD). On the other hand, the winding temperatures of these motors, which operate continuously under rated operating conditions, reach 80 degrees C. The stator resistance and rotor flux value, which change with the increase in temperature, cause these drives, controlled without sensors, to operate even more unstable. In this study, a hybrid approach is proposed to improve the performance of the inverter using a 16 mu F film capacitor at the dc-link and to reduce the THD. The active damping method regulates the inverter output voltage for DC-link voltage stabilization. A permanent magnet synchronous machine (PMSM) sensorless speed control based on stator feedforward voltage estimation and a model reference adaptive system (MRAS) based on a multiparameter estimation algorithm is performed to minimize the effects of parameter variations. As a result of the experimental studies, it is observed that the grid input current complies with the IEC61000-3-2 standard, even under severe parameter variations.
Anaplastic Thyroid Carcinoma
(Springer Science+Business Media, 2018) Kebudi, A.; Deveci, U.; Çitgez, B.
Anaplastic thyroid carcinoma (ATC) is a relatively uncommon highly malignant tumor originating from the follicular cells of the thyroid gland having a poor prognosis. It accounts for 2-5% of all thyroid carcinomas, and patients typically present with a rapidly growing anterior neck mass with aggressive symptoms. A 66-year-old male presented with dyspnea, neck pain, and voice changes. Ultrasonographic neck examination demonstrated an enlarged thyroid gland and substernal extension of the right thyroid lobe. Fine needle aspiration (FNA) from the thyroid nodule biopsy showed benign cytology. Because of symptomatic disease and radiologic malignancy doubt, operation has been done. Histopathologic examination with frozen section demonstrated anaplastic thyroid carcinoma. After total thyroidectomy, the patient is discharged. The patient died 20 days after the start of systemic treatment because of septic multiorgan failure derived from bronchopneumonic lung infection. In the evaluation of sudden growing neck masses in elderly patients, anaplastic thyroid cancer should be considered as a differential diagnosis, even if the needle biopsy is normal. © Springer International Publishing AG, part of Springer Nature 2019.
Artificial Neural Networks; Definition, Properties and Misuses
(Nova Science Publishers, Inc., 2011) Güreşen, E.; Kayakutlu, G.
There are no such clear and good definitions of ANNs in the literature. Many of the definitions refer to the figures instead of well explaining the ANNs. That is why many weighted graphs (as in shortest path problem networks) fit the definition of ANN. This study aims to give a clear definition that will differentiate ANN and graphs (or networks) by referring to biological neural networks. Although there is no input choice limitation or prior assumption in ANN, sometimes researchers compare ANN achievements with the results of other methods using different input data and make comments on these results. This study also gives examples from literature to misuses, unfair comparisons and evaluates the underlying reasons which will guide researchers. © 2011 Nova Science Publishers, Inc. All rights reserved. © 2014 Elsevier B.V., All rights reserved.
Barriers to E-Procurement Adoption: The Turkish Case
(IGI Global, 2009) Yamamoto, G.T.; Karaman, F.
E-procurement practice is not well-established in emerging countries. There are barriers in terms of transportation, financial, telecommunication, and legal infrastructures. Also, a lack of a qualified workforce, cultural barriers, and security problems hinder the development of e-procurement activities. These are not such significant problems in the developed countries. In this study, we examined the Turkish practice. We gave country background information including macroeconomic data and Internet penetration data, and we gave a picture of the current situation of Turkey. We then discussed how these barriers can be overcome in Turkey. Finally, we gave predictions about how m-procurement may alter the situation and its potential for the Turkish market. © 2010 by IGI Global. All rights reserved.
Bipolar Intuitionistic Fuzzy Graph Centrality-Based Decision-Making Model to Prioritize Locations for Healthcare Camp during COVID-19
(Elsevier, 2025) Nithyanandham, D.; Augustin, F.; Narayanamoorthy, S.; Ijaz, B.; Ranganathan, S.; Dhivya, S.; Ahmadian, A.
Centrality measure is one of the important tools in graph theory to measure the significance of the vertices in the graph. When uncertainty exists in the vertices and their relations, the fuzzy graph helps to handle such scenarios. Bipolar intuitionistic fuzzy graph is an extension of fuzzy graph, effectively deal with uncertainty by assigning membership and nonmembership degrees in a bipolar perspective. In this chapter, the centrality measures such as degree, in-degree, and out-degree centrality measures in the bipolar intuitionistic fuzzy graph are defined. Additionally, a decision-making model is designed based on the degree centrality measure. Further, an illustration of this model is provided for prioritizing the locations to setup healthcare camp during COVID-19 pandemics. © 2025 Elsevier B.V., All rights reserved.
Business Ethics and Technology in Turkey: An Emerging Country at the Crossroad of Civilizations
(IGI Global, 2009) Yamamoto, G.T.; Karaman, F.
IT ethics cannot be analyzed without assessing business ethics in general and the cultural environment. This study is based on the Turkish case. Turkey lies at the crossroads of civilizations, making it hard to define a generally accepted set of ethical principles. Western, Islamic, and Turkish cultures are in competition with each of them, and a synthesis has not yet been achieved. Therefore, a common identity and common ethical standards cannot be acquired. In fact, such a synthesis could be categorized as a new civilization. This disagreement causes proliferation of unethical behaviors such as the illegal copying of software. The majority of highly educated technical people in Turkey approves of the illegal copying of software, if it is necessitated by the interests of the country. This shows that we have a long way to go to reach global ethical standards, and country-specific differences cannot be eliminated in the short term. © 2010 by IGI Global. All rights reserved.
Can Super Resolution via Deep Learning Improve Classification Accuracy in Dental Radiography
(Oxford University Press, 2025) Celik, Berrin; Mikaeili, Mahsa; Genç, Mehmet Zahid; Çelik, Mahmut Emin
Objectives Deep learning-driven super resolution (SR) aims to enhance the quality and resolution of images, offering potential benefits in dental imaging. Although extensive research has focused on deep learning based dental classification tasks, the impact of applying SR techniques on classification remains underexplored. This study seeks to address this gap by evaluating and comparing the performance of deep learning classification models on dental images with and without SR enhancement. Methods An open-source dental image dataset was utilized to investigate the impact of SR on image classification performance. SR was applied by 2 models with a scaling ratio of 2 and 4, while classification was performed by 4 deep learning models. Performances were evaluated by well-accepted metrics like structural similarity index (SSIM), peak signal-to-noise ratio (PSNR), accuracy, recall, precision, and F1 score. The effect of SR on classification performance is interpreted through 2 different approaches. Results Two SR models yielded average SSIM and PSNR values of 0.904 and 36.71 for increasing resolution with 2 scaling ratios. Average accuracy and F-1 score for the classification trained and tested with 2 SR-generated images were 0.859 and 0.873. In the first of the comparisons carried out with 2 different approaches, it was observed that the accuracy increased in at least half of the cases (8 out of 16) when different models and scaling ratios were considered, while in the second approach, SR showed a significantly higher performance for almost all cases (12 out of 16). Conclusion This study demonstrated that the classification with SR-generated images significantly improved outcomes. Advances in knowledge For the first time, the classification performance of dental radiographs with improved resolution by SR has been investigated. Significant performance improvement was observed compared to the case without SR. © 2025 Elsevier B.V., All rights reserved.
Cardio-Oncology: Cancer and Treatment-Related Cardiotoxicity and Imaging Methods for Assessment of Cardiotoxicity
(Springer Nature, 2024) Guvenc, R.C.; Guler, E.C.; Güvenc, T.S.
Cardio-oncology is a new branch of cardiology that specializes in the diagnosis and treatment of cancer-related and treatment-related cardiac disorders in patients with malignant disease. Being a highly aggressive form of malignancy, esophageal cancer is known to locally invade nearby cardiac structures and great veins, as well as metastasize to the pericardium and myocardium. The chemoradiotherapy regimens used to treat this aggressive form of cancer also expose patients to the risk of treatment-induced cardiac damage and dysfunction. Imaging modalities for the diagnosis and follow-up of cardiac dysfunction range from simple transthoracic echocardiography to advanced imaging modalities such as speckle-tracking echocardiography to cardiac MRI. This chapter summarizes available evidence on the diagnosis and management of cardiotoxicity related to esophageal cancer and its various treatments, as well as imaging modalities used to monitor cancer- and treatment-related cardiac dysfunction. © The Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Switzerland AG 2024.
Central nervous system parasites
(Nova Science Publishers, Inc., 2024) Aydinli, A.
When parasitic infections of the Central Nervous System (CNS) are examined, we encounter quite a lot of parasites. Among protozoans, especially free-living amoebae (such as Naegleria, Acanthamoeba, Balamuthia, and Sappinia) have attracted attention in recent years. In addition to these, Microsporidia (Encephalitozoon), Hartmanella, Malaria, Toxoplasma, etc. will appear. It is important that different parasites are identified using different laboratory methods and their treatments are also different. © 2024 Nova Science Publishers, Inc. All rights reserved.
Clinical Application of New Possible Biomarkers in the Assessment and Monitoring of Nutritional Status
(Bentham Science Publishers, 2022) Yesilkaya, B.
Nutrition is directly related to human health. It is very critical to determine the nutritional status to prevent or diagnose diseases and create the right treatment plans. The determination of the nutritional status provides an early diagnosis of growth and development retardation such as malnutrition. It also plays a major role in preventing diseases that may be caused by vitamin and mineral deficiencies. It helps in the surveillance of one of the world's most serious health problems, namely “obesity.” Different ways can be used to assess nutritional status. One of the best ways to assess the nutritional and health status is to use biomarkers. A biomarker is a substance whose detection indicates a specific disease state or a response to a therapeutic intervention. Biomarkers are used to detect nutrient consumption and deficiencies as early as possible, enabling early intervention for metabolic problems. Biomarkers also allow the visualization of diseases that a person might develop or potentially have with a sample, such as blood, tissue, and urine, from the person. Health interventions such as nutritional advice will preserve health or promote rapid recovery. In this chapter, the topic of biomarkers related to nutrition and nutrient deficiencies is discussed. The existence of new possible biomarkers is also reviewed. © 2022, Bentham Books imprint.
Comparative Evaluation of Canal Transportation and Centering Ability of Various Ni-Ti Rotary Systems in Retreatment of Curved Root Canals
(Selcuk University, 2022) Çiftçioğlu, E.; Küçükay, E.S.
Background: The aim of the present study was to evaluate the canal transportation and centering ability of ProTaper, HeroShaper and two Ni-Ti rotary systems developed for retreatment ProTaperRetreatment and R-Endo. Methods: One hundred twenty mesial canals of mandibular molars with curvatures between 30-40 degrees and radii of curvatures between 4-9 mm were embedded in a modified muffle system. The teeth were randomly divided into 8 groups (n=15). The roots were sectioned horizontally at 3, 6 and 9 mm from the working length. Cross-sections were digitally photographed under standardized conditions. Half of the root canals were prepared with ProTaper and the rest with HeroShaper. Postoperative photographs were obtained. Root canals were obturated with the respective guttapercha cones of the systems and AHPlus sealer. Following retreatment with four systems, photographs were assessed for the canal transportation in 8 directions, and centering ratio. The data were analyzed with Friedman test for repeated measurements, Kruskal Wallis test for intergroup comparisons and Dunn's multiple comparison test for subgroup comparisons, and significance was set at P < 0.05. Results: Initial shaping with ProTaper resulted in more significant transportation than HeroShaper (p<0.05). After retreatment, REndo yielded negative transportation values in the apical and midsections. In canals prepared with ProTaper, in the apical and coronal root sections ProTaperRetreatment, and in the midsections ProTaper revealed more acceptable re-shaping results. In the canals prepared with HeroShaper, after retreatment, transportation and centering ability were relatively efficient with HeroShaper in the apical and mid-sections; and with ProTaper in the coronal sections. Conclusion: All systems caused a certain amount of transportation and eccentricity. Protaper, ProtaperRetreatment and HeroShaper showed similar re-shaping performance with regard to the initial shaping procedure. However, R-Endo yielded insufficient root canal cleaning in the apical and mid-sections. © 2022, Selcuk University. All rights reserved.
Comparison of Apical Transportation and Canal Straightening Between Protaper Next, Hyflex, Reciproc and Reciproc Blue Instruments
(Selcuk University, 2022) Türkyilmaz, A.; Erdoğan, D.; Akbal Dinçer, G.; Erdemir, A.
Background: This study aimed to compare apical transportation and canal straightening of ProTaper Next, HyFlex Electric Discharge Machining, Reciproc and Reciproc Blue nickel-titanium (NiTi) files with different apical enlargements. Methods: Forty-eight mandibular molar human teeth were included in the study. The teeth were divided into four groups according to the NiTi file types (n=12). A digital radiographic method was used to compare apical transportation and canal straightening in the buccolingual and mesiodistal directions using before-and-after images superimposed with Image J software. The Kruskal-Wallis test with Bonferroni correction and the Wilcoxon test were used; the P value was set at 5%. Results: The maximum transportation of the buccolingual and mesiodistal directions were 0.216 mm and 0.196 mm with Reciproc file. The maximum straightening of the buccolingual and mesiodistal directions were degrees of 8.661 and 8.048 respectively with ProTaper Next and Reciproc files. Conclusion: ProTaper Next, HyFlex Electric Discharge Machining and Reciproc Blue filespresented similar results. Using a larger instrument increased the apical transportation and canal straightening. © 2022, Selcuk University. All rights reserved.
A Cooperative Positioning Method of Connected and Automated Vehicles with Fusion of Data Information of Direction-of-Arrival Relative Distance and Vehicles Speed
(IEEE, 2025) Kaky, Kani M.; Bilgen, Semih
This study explores the potential of cellular-vehicle-to-everything (C-V2X) wireless communications in enhancing AV localization in GNSS-deprived scenarios. Specifically, we propose CV2X- LOCA, a novel unit (RSU)-assisted cooperative localization substructure utilizing only C-V2X channel state information to achieve lane-level precision. CV2X-LOCA comprises four main components: a data processing module, environment parameter correction module, coarse positioning module, and vehicle trajectory filtering module, collectively addressing challenges in dynamic C-V2X networks. Through extensive modelling we demonstrate that CV2X-LOCA attains cutting-edge localization performance even in noisy conditions, with fast-moving vehicles and sparse RSU coverage. The findings offer valuable insights for transportation agencies to make informed decisions regarding cost-effective RSU deployment in the future.
Customized Forms of Kurdishness in Turkey: State Rhetoric, Locality, and Language Use
(Bloomsbury Publishing Plc., 2018) Şengül, C.
The discussions on Kurds of Turkey mostly refer to them as if they are one homogeneous group, with different forms of being Kurdish mostly overlooked. Yet, Kurds have been scattered all across Turkey; they differ in terms of the language they speak; they have also been subject to different policies of the Turkish state in different periods. How can we take these factors into account when discussing Kurdishness in Turkey? That is, in which ways does a Kurd living in a small city in Southeast Turkey differ from a Kurd living in Istanbul? How does being a native Kurdish speaker play a role in forming Kurdishness? What about different state rhetoric in different periods? By focusing on these three main questions, this book offers a detailed account on the diversity of experiences of Kurdishness. Based on her fieldwork in five different field sites in Turkey, Dr. Sengül illustrates, through narratives of her respondents, how Kurdishness is exhibited in different, personalised, and customised forms across different contexts in Turkey. Each substantive chapter in the book analyses a different element that plays a role in constructing these different forms of Kurdishness: state rhetoric, localities, and the language use. By arguing that there is not one single way of exhibiting Kurdishness, this book challenges any standard definitions of Kurdishness, and defines it as the daily (re-)negotiation of state rhetoric and everyday practices individuals experience. © 2025 Elsevier B.V., All rights reserved.
Dental Students’ Anxiety Level, Awareness of Dental Anxiety, and Attitudes in Treating Patients With Dental Anxiety
(Selcuk University, 2022) Aykol Şahin, G.; Özden, Z.T.; Altan Köran, S.M.
Background: Successful treatment of patients with dental anxiety requires particular attitudes and knowledge. Dentists who have severe stress, inadequate knowledge, or less sensitivity to anxious patients may affect the success of the treatment. The aim of this study was to evaluate the general anxiety level and occupational perceptions of the final-year dental students and their attitudes to and knowledge level about anxious patients. Methods: The anxiety levels of the dental students were assessed by the Beck Anxiety Inventory. A questionnaire that evaluated professional perceptions, dental anxiety awareness, attitude, and knowledge level was conducted. The answers between the groups were compared, and differences were assessed statistically. Results: One hundred fifty-nine final-year dental students answered the questionnaire. No statistical difference was found between the anxiety levels of the students. 69,2% of students agreed that patients evaluate dentists with their style or behavior rather than their perceived technical competence. Female students and the students with adverse patient experiences perceived dentistry as a more stressful profession (respectively p=0,001, p=0,003). 39,6% of students had never taken a course related to dental anxiety. 25,8% of students thought that there is a relationship between dental anxiety and wound healing, and 37,1% of students thought that dental anxiety aggravates the inflammatory disease. Conclusion: The final-year dental students need more training in managing their stress and increasing their knowledge about anxious patients. There is a need for further studies involving dental anxiety management strategies with a higher number of dental students or dentists. © 2022, Selcuk University. All rights reserved.
Design and Implementation of a High Power Density GaN-Based USB-PD Charger
(IEEE, 2025) Er, Bugra; Bavtar, Gorkem; Kivanc, Omer Cihan
This paper presents the design and implementation of a high-power-density GaN-based USB-PD charger capable of delivering up to 100W. Gallium Nitride (GaN) power devices offer significant advantages over traditional silicon-based components, including higher efficiency, reduced switching losses, and increased power density, making them an ideal choice for modern fast-charging applications. In this study, various power conversion topologies and commercially available GaN-based integrated circuits (ICs) are analyzed and compared to determine the most efficient and thermally optimized solution. Extensive thermal analysis is performed to evaluate the heat dissipation and efficiency of the system under full-load conditions. Experimental tests verified the charger's performance, demonstrating high efficiency and superior thermal management compared to conventional silicon-based solutions. The results highlight the potential of GaN technology in achieving compact, efficient, and high-power-density USB-PD chargers suitable for next-generation consumer electronics.
Design of a Position Controlled Electric Actuator Used in Fluid Control Valves
(IEEE, 2016) Tosun, Gurkan; Kivanc, O. Cihan; Oguz, Ender; Mutlu, Yasar; Ustun, Ozgur
Valves are the main elements for controlling fluids in industry and other application areas. To control flow precisely, valves need a controlled action which leads to implement actuators, gear systems and electronic controllers. Increasing dominance of electrical actuators due to the advantages of easy control and intervention and space-efficient designs brings seldom implementation of hydraulic and pneumatic actuation. In fluid control applications, the main target is to obtain the right position, i.e. angle for rotary actuators, for adjusting flow rate. In this study, the design and implementation of a position controlled electrically actuated valve used for fluid control are presented. The design phases of system universal power supply and electronic control system are given and the experimental results of position control which are representing the validation the design study is also discussed. Also a special current control scheme is used to overcome transient disruptions.
Development of a Lithium-Ion Hybrid Battery for Electric Forklifts
(Avestia Publishing, 2023) Özcan, M.A.; Yılmaz, C.H.; Tuncay, R.N.; Kıvanç, Ö.C.
Forklifts are widely used to transport loads in many facilities. Although the power of forklifts with internal combustion engine is quite sufficient, it is impossible to operate them in indoor environments such as factories and warehouses. For this reason, electric forklifts are used in indoor environments. For many years, lead acid batteries have been used as energy storage units in electric forklifts. While heavy lead acid batteries have a positive feature in terms of stability, the requirement of keeping spare batteries for each forklift is a must due to their slow charging phenomena. In addition, other disadvantages of lead acid batteries are that they need regular maintenance, have a low depth of discharge (DoD) and have a low cycle life [1]. This has made Li batteries more favorable. In parallel to the developments in general transportation applications, the usage of lithium-ion batteries in forklifts is spreading [2]. Despite the above advantages, lithium batteries are sensitive to excessive current pulses. For this reason, it is recommended to add supercapacitors to compensate the overcurrent pulses. Supercapacitors can supply very large current for a short time with cycle life up to 1,000,000 [3]. Thus, in this study a hybrid storage system is proposed. Thanks to the hybrid battery and an optimized energy management system, the high power pulses that exerted on the lithium-ion battery are cropped by the supercapacitor, and the peak current on the lithium-ion battery is decreased. The reduction of the pulse currents in lithium-ion batteries will have a positive effect on their State of Health (SoH) and State of Charge (SoC), the efficiency and the cost by reducing the battery capacity to lower levels. This study is on the design of a forklift battery with a Lithium Iron Phosphate (LFP) battery and Supercapacitor (SC). The measurements were made to obtain the load profile of an actively used forklift. The pulse currents during acceleration and regenerative braking were measured, and the necessity for adding a supercapacitor is justified. In addition, supercapacitor was tested. 10 kW power can be supplied for 10 seconds until its voltage is half of its rated voltage. The hybrid battery system of this study includes 80-volt LFP battery and 54-volt 166F supercapacitor. While the lithium-ion battery feeds the 80-volt DC bus, the 54-volt supercapacitor is connected to the DC bus via a bidirectional DC/DC converter. In order to operate this hybrid system efficiently a battery management and control system is developed. This system is not only control the power sharing between battery and super capacitor but also keep the Li battery in best operational condition. It is ensured that the batteries cell voltage, current and temperature limits are not exceeded. Thus, it will be possible to extend the life of the lithium-ion battery without sacrificing the performance capabilities of the forklift. © 2023, Avestia Publishing. All rights reserved.
Diş Hekimliğinde Fotopolimerizasyon ile 3 Boyutlu Üretim Yöntemleri ve Kullanım Alanları
(Selcuk University, 2023) Özay, M.; Saridağ, S.
In recent years with the rapid development of production technologies there has been a remarkable increase in the use of 3D printers. This technology, which is also used in the fields of aviation, defense, art and design, has an important place in dentistry. With many materials used with different methods, patient and dentist comfort is increased and working time is shortened. New production methods; contrary to traditional methods such as plaster model casting and orthodontic treatment with brackets, it has advanced the efficiency and success of treatments and has also enabled many new developments. Photopolymerized resins; in addition to the production of prosthetic base material, obturator, temporary crown-bridge, it is also used in the production of models in the field of dental education. The aim of this review is to provide an overview of the use of light-cured resins in the 3D production process. Also; it is aimed to give information about additive manufacturing technologies, materials used in these technologies, advantages and disadvantages. © 2023, Selcuk University. All rights reserved.

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