WoS İndeksli Yayınlar Koleksiyonu / WoS Indexed Publications Collections

Permanent URI for this collectionhttps://hdl.handle.net/20.500.13091/2

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Citation - WoS: 1
Citation - Scopus: 2
Adaptive State Feedback Control Method Based on Recursive Least Squares
(Kauno Technologijos Universitetas, 2022) Levent, Mehmet Latif; Aydoğdu, Ömer
This study revealed an adaptive state feedback control method based on recursive least squares (RLS) that is introduced for a time-varying system to work with high efficiency. Firstly, a system identification block was created that gives the mathematical model of the time-varying system using the input/output data packets of the controller system. Thanks to this block, the system is constantly monitored to update the parameters of the system, which change over time. Linear quadratic regulator (LQR) is renewed according to these updated parameters, and self-adjustment of the system is provided according to the changed system parameters. The Matlab/Simulink state-space model of the variable loaded servo (VLS) system module was obtained for the simulation experiments in this study; then the system was controlled. Moreover, experiments were carried out on the servo control experimental equipment of the virtual simulation laboratories (VSIMLABS). The effectiveness of the proposed new method was observed taking the performance indexes as a reference to obtain the results of the practical application of the proposed method. Regarding the analysis of simulation and experimental results, the proposed approach minimizes the load effect and noise and the system works at high efficiency. © 2022 Kauno Technologijos Universitetas. All rights reserved.
Citation - WoS: 3
Citation - Scopus: 2
Adaptive Traffic Management Model for Signalised Intersections
(Kauno Technologijos Universitetas, 2024) Yalcinli, F.; Akdemir, B.; Durdu, A.
As population increases, one of the factors affecting life is traffic. Efficient traffic management has a direct positive impact on issues such as time, carbon dioxide emissions, and fuel consumption. Today, an important parameter under the heading of traffic is the signalling systems for intersections, which are operated with fixed-time, semi-actuated, fully actuated, and fully adaptive control methods. In this study, an adaptive traffic management model is developed for signalised intersections. The adaptive traffic management model developed includes phase extension with minimum and maximum time intervals dependent on density and phase skip features. Additionally, the most distinctive feature of the model is its flexible phase structure rather than a sequential phase. The Heybe intersection, located within the boundaries of Antalya province, is modelled one-to-one in the simulation of urban mobility (SUMO) simulation programme with real intersection data. The developed adaptive traffic management model is applied to the Heybe intersection, and the effects of the model are revealed. Improvements obtained from the SUMO simulation programme were verified through visual inspection, and high-accuracy results were determined. As a result of the studies, it was found that the application of the adaptive traffic management model developed at Heybe intersection, which has approximately 50,000 vehicles passing daily, resulted in a 27.2% improvement in the average delay per vehicle parameter, a 32.4% improvement in the average waiting time per vehicle parameter, and a 16.7 % improvement in the average speed per vehicle parameter. © 2024 Kauno Technologijos Universitetas. All rights reserved.
Citation - WoS: 2
Citation - Scopus: 2
Adrenal Lesion Classification With Abdomen Caps and the Effect of Roi Size
(Springer, 2023) Solak, Ahmet; Ceylan, Rahime; Bozkurt, Mustafa Alper; Cebeci, Hakan; Koplay, Mustafa
Accurate classification of adrenal lesions on magnetic resonance (MR) images are very important for diagnosis and treatment planning. The detection and classification of lesions in medical imaging heavily rely on several key factors, including the specialist's level of experience, work intensity, and fatigue of the clinician. These factors are critical determinants of the accuracy and effectiveness of the diagnostic process, which in turn has a direct impact on patient health outcomes. With the spread of artificial intelligence, the use of computer-aided diagnosis (CAD) systems in disease diagnosis has also increased. In this study, adrenal lesion classification was performed using deep learning on MR images. The data set used was obtained from the Department of Radiology, Faculty of Medicine, Selcuk University, and all adrenal lesions were identified and reviewed in consensus by two radiologists experienced with abdominal MR. Studies were carried out on two different data sets created by T1- and T2-weighted MR images. The data set consisted of 112 benign and 10 malignant lesions for each mode. Experiments were performed with regions of interest (ROIs) of different sizes to increase the working performance. Thus, the effect of the selected ROI size on the classification performance was assessed. In addition, instead of the convolutional neural network (CNN) models used in deep learning, a unique classification model structure called Abdomen Caps was proposed. When the data sets used in classification studies are manually separated for training, validation, and testing, different results are obtained with different data sets for each stage. To eliminate this imbalance, tenfold cross-validation was used in this study. The best results obtained were 0.982, 0.999, 0.969, 0.983, 0.998, and 0.964 for accuracy, precision, recall, F1-score, area under the curve (AUC) score, and kappa score, respectively.
Citation - Scopus: 1
Adrenal Tumor Segmentation on U-Net: a Study About Effect of Different Parameters in Deep Learning
(World Scientific Publ Co Pte Ltd, 2023) Solak, Ahmet; Ceylan, Rahime; Bozkurt, Mustafa Alper; Cebeci, Hakan; Koplay, Mustafa
Adrenal lesions refer to abnormalities or growths that occur in the adrenal glands, which are located on top of each kidney. These lesions can be benign or malignant and can affect the function of the adrenal glands. This paper presents a study on adrenal tumor segmentation using a modified U-Net model with various parameter selection strategies. The study investigates the effect of fine-tuning parameters, including k-fold values and batch sizes, on segmentation performance. Additionally, the study evaluates the effectiveness of different preprocessing techniques, such as Discrete Wavelet Transform (DWT), Contrast Limited Adaptive Histogram Equalization (CLAHE), and Image Fusion, in enhancing segmentation accuracy. The results show that the proposed model outperforms the original U-Net model, achieving the highest scores for Dice, Jaccard, sensitivity, and specificity scores of 0.631, 0.533, 0.579, and 0.998, respectively, on the T1-weighted dataset with DWT applied. These results highlight the importance of parameter selection and preprocessing techniques in improving the accuracy of adrenal tumor segmentation using deep learning.
Citation - WoS: 6
Citation - Scopus: 9
Ağaç-tohum Algoritmasının Cuda Destekli Grafik İşlem Birimi Üzerinde Paralel Uygulaması
(2018) Çınar, Ahmet Cevahir; Kıran, Mustafa Servet
Son yıllarda toplanan verinin artmasıyla birlikte verimli hesaplama yöntemlerinin de geliştirilmesi ihtiyacı artmaktadır. Çoğunlukla gerçek dünya problemlerinin zor olması sebebiyle optimal çözümü garanti etmese dahi makul zamanda yakın optimal çözümü garanti edebilen sürü zekâsı veya evrimsel hesaplama yöntemlerine olan ilgi de artmaktadır. Diğer bir açıdan seri hesaplama yöntemlerinde verinin veya işlemin paralelleştirilebileceği durumlarda paralel algoritmaların da geliştirilmesi ihtiyacı ortaya çıkmıştır. Bu çalışmada literatüre son yıllarda kazandırılmış olan popülasyon tabanlı ağaç-tohum algoritması ele alınmış ve CUDA platformu içerisinde paralel versiyonu geliştirilmiştir. Algoritmanın paralel versiyonunun performansı kıyas fonksiyonları üzerinde analiz edilmiş ve seri versiyonunun performansı ile karşılaştırılmıştır. Kıyas fonksiyonlarında problem boyutluluğu 10 olarak alınmış ve farklı popülasyon ve blok sayıları altında performans analizi yapılmıştır. Deneysel çalışmalar algoritmanın paralel versiyonunun algoritmanın seri sürümüne göre bazı problemler için 184,65 kata performans artışı sağladığı görülmüştür.
Aggloflotation of Bituminous Coal in a New Designed Cell
(Taylor & Francis Inc, 2025) Uslu, Nihat Yusuf; Duzyol, Selma
This study investigated the enrichment of high-ash bituminous coal by aggloflotation technique implemented within a new designed experimental cell. At the same time, this paper aimed to introduce the newly designed aggloflotation cell. This novel cell uniquely integrates the agglomeration and flotation processes into a single, unified unit, thereby simplifying the overall processing sequence. A coal sample, sourced from the Zonguldak & Ccedil;atala & gbreve;z & imath; coal preparation plant, was subjected to a series of tests under varied operational conditions including pH levels, agglomeration time, binder dosage, mixing speed, frother dosage, and dispersant. The performance of the aggloflotation process was evaluated by examining key metrics such as the concentrate's ash content, weight yield, and the combustible recovery. Notably, the experimental outcomes demonstrated that the new designed cell was efficient in processing ultra-fine bituminous coal in a single-stage operation. The process reduced the agglomeration time from 30 minute to just 5 minute, indicating substantial potential for both time and energy savings. Preliminary observations indicate that integrating both processes in one cell may also simplify process control. The outcomes suggest that this experimental setup represents a viable option for coal enrichment, inviting further investigation to determine its potential benefits.
Citation - WoS: 14
Citation - Scopus: 13
All-Dry Hydrophobic Functionalization of Paper Surfaces for Efficient Transfer of Cvd Graphene
(WILEY-V C H VERLAG GMBH, 2019) Çıtak, Emre; İstanbullu, Bilal; Şakalak, Hüseyin; Gürsoy, Mehmet; Karaman, Mustafa
In this study, the successful transfer of chemical vapor deposition (CVD)-grown graphene on an ordinary printing paper surface is demonstrated. Pristine paper is not a suitable substrate for graphene transfer because of its fragile and hydrophilic nature against the chemicals used during the transfer process. Two different fluoroalkyl polymers, namely poly(hexafluorobutyl acrylate) (PHFBA) and poly(perfluorodecyl acrylate) (PPFDA) are coated on paper surfaces by an initiated CVD (iCVD) technique to make the paper surfaces hydrophobic. Hydrophobicity is found to be an important factor in order for the graphene to be transferred onto the paper substrate. Although surfaces coated with PPFDA possess better hydrophobicity owing to their longer perfluoroalkyl group and higher roughness, the graphene transfer is found to be more successful on a PHFBA-coated surface. A thin film of PHFBA on the paper surface acts as a prime layer for effective and defect-free transfer of graphene and makes the paper surface ideal and robust during the graphene transfer process. The as-transferred graphene layer on the PHFBA-coated paper surface shows high conductivity values, even after repeated folding and flattening cycles.
Citation - WoS: 23
Citation - Scopus: 24
All-Dry Patterning Method To Fabricate Hydrophilic/Hydrophobic Surface for Fog Harvesting
(SPRINGER, 2020) Gürsoy, Mehmet
Inspired by natural creatures that live in the arid climate, fog harvesting can be an efficient approach to overcome freshwater scarcity. Fog harvesting ability of the creatures is mainly based on wettability differences of their surfaces. In this study, inspired by creatures that have hydrophilic regions surrounded by hydrophobic areas, a novel all-dry patterning method was applied to fabricate hydrophilic/hydrophobic patterned surfaces for fog harvesting. For this purpose, patterned surfaces were produced using plasma-enhanced chemical vapor deposition (PECVD) method with the help of a commercial magnet and iron powders. The idea behind the use of the magnetic field during PECVD deposition is to hold light iron particles on the substrate under the vacuum environment for masking substrate surface. For the first time, the magnetic field was used to fabricate patterned surfaces in vapor-phase polymerization. Ordinary glass slides were successfully transformed into hydrophilic/hydrophobic patterned glasses. The obtained results showed that the combination of hydrophobic and hydrophilic regions improved the fog harvesting performance.
Citation - WoS: 8
Citation - Scopus: 9
Amplifying the Dielectric Constant of Shellac by Incorporating Natural Clays for Organic Field Effect Transistors (ofets)
(TUBITAK, 2023) Kim, S.; Yumuşak, Ç.; Irimia, C.V.; Bednorz, M.; Yenel, E.; Kuş, M.; Sariçiftçi, N.S.
We demonstrate in this work the practical use of uniform mixtures of a bioresin shellac and four natural clays, i.e. montmorillonite, sepiolite, halloysite and vermiculate as dielectrics in organic field effect transistors (OFETs). We present a thorough characterization of their processability and film forming characteristic, surface characterization, elaborate dielectric investigation and the fabrication of field effect transistors with two classic organic semiconductors, i.e. pentacene and fullerene C60. We show that low operating voltage of approximately 4 V is possible for all the OFETs using several combinations of clays and shellac. The capacitance measurements show an improvement of the dielectric constant of shellac by a factor of 2, to values in excess of 7 in the uniform mixtures of sepiolite and montmorillonite with this bioresin. © TÜBİTAK.
Analysis and Design of a Permanent Magnet Linear Synchronous Motor Based on Inductance Calculation
(Polska Akad Nauk, Polish Acad Sciences, 2025) Yucel, Enes; Mutluer, Mumtaz; Cunkas, Mehmet
This paper presents a comprehensive design and analysis methodology for a Permanent Magnet Linear Synchronous Motor (PMLSM), with a focus on evaluating different inductance modeling approaches. The motor design begins with analytical dimensioning based on defined design parameters. A two-dimensional finite element analysis follows this in ANSYS Maxwell to verify magnetic saturation, back-EMF, flux linkage, and electromagnetic performance under full load conditions. The inductance parameters are calculated using both conventional and look-up table (LUT) based models. In the conventional model, seven different methods are tested under static and dynamic conditions, as well as in non-salient and salient scenarios, and their results are compared. In the LUT model, current-dependent inductance values are extracted from flux linkage maps. The motor designed in Maxwell, along with the calculated inductance data, is integrated into a dynamic cooperative simulation (co-sim) model controlled by an inverter in Simplorer to analyze the thrust force. The results show that the LUT model provides outputs that are closer to the co-sim reference than the traditional model. Furthermore, performance curves based on the Maximum Torque Per Ampere strategy are generated, and the force-speed and power-speed characteristics derived from both inductance models are compared. The findings emphasize the importance of accurate inductance modeling in capturing the actual electromagnetic behaviour of PMLSM under dynamic operating conditions.
Citation - WoS: 1
Citation - Scopus: 1
Analysis of Fluid Forces Impacting on the Impeller of a Mixed Flow Blood Pump With Computational Fluid Dynamics
(Sage Publications Ltd, 2024) Diallo, Abdoulaye Billo; Cinar, Hasan; Yapici, Rafet
This study presents four different impeller designs to compare hydrodynamic forces. Numerical simulation studies are performed via computational fluid dynamics to specify and investigate the hydraulic forces impacting the impeller of the mixed-flow blood pump with a volute. The design point of this pump is that the flow rate is 5 L/min, the rotational speed is 8000 rpm, and the manometric head is 100 mmHg. The designed impellers are placed in the same volute and simulation studies are performed with the same mesh size (17.3 million cells) of the pumps. The simulation studies have been conducted in setting 1050 kg/m3 blood density, 35 cP fluid viscosity, and SST-k omega turbulence model. Additionally, this study examines the changes in hydraulic forces and hydraulic efficiency with fluid viscosity. As a result of experimental simulation studies, the highest hydraulic efficiencies of 40.87% and 39.5% are achieved in the case of the shaftless-grooveless and shafted-grooveless impeller, respectively. The maximum axial forces are obtained from the pump with the shaftless-grooveless impeller. Whereas radial forces, maximum values are calculated in the pump with the shaftless-outer groove impeller for all flow rates. Finally, the wall shear stresses, which are important for blood pump designs, are evaluated and the maximum value of 227 Pa is observed in the pump impeller with a shaftless-grooved.
Citation - WoS: 1
Citation - Scopus: 1
Analysis of Short-Term Sentinel-1 Data Using the Dinsar Method for Monitoring Displacement Following the Earthquakes of 6 and 20 February in Hatay City
(Ist Nazionale Di Oceanografia E Di Geofisica, 2024) Doganalp, S.; Cokuner, B.; Makineci, H. B.
The Eastern Anatolia Fault Zone (EAFZ) has caused destructive earthquakes. Kahramanmara and Hatay, located on the EAFZ, were hit by devastating earthquakes with magnitudes of 7.7, 7.6, and 6.3, respectively, in February 2023. A tectonic chain of disasters was seen in Hatay in a short time, first on 6 February 2023, with earthquakes centred in Kahramanmara and the subsequent intense earthquake series, and lastly on 20 February 2023, with the Hatay earthquake centred in the Yayladag district. The lithological characteristics of the units in the region increased the destructive effects of the earthquakes. In addition, the location of the study area, where the EAFZ and the Death Sea Fault Zone are close to each other, increases the importance of research. This study aims to monitor the ground displacements caused by the earthquakes in Hatay. Sentinel1A Synthetic Aperture Radar data was acquired on 29 January, and 10 and 22 February, and the Differential Interferometry Synthetic Aperture Radar method was applied. In addition, the elevation change was determined by using two-month global navigation satellite system data from the Continuously Operating Reference Station points (HAT2 and ONIY) in the study area. Thus, considering regional tectonics, ground movements resulting from the earthquakes on 6 and 20 February were identified and examined using geologic, geodesic, and remote sensing techniques.
Citation - WoS: 7
Citation - Scopus: 7
An Analytical Study About the Use of Steel Plate Shear Walls To Improve Lateral Rigidity of Reinforced Concrete Framed Structures
(LATIN AMER J SOLIDS STRUCTURES, 2020) Korkmaz, Serra Zerrin
Steel plate shear walls are becoming popular for steel structures. In this study, the use of Steel Plate Shear Walls (SPSW) was discussed to increase the horizontal stiffness of reinforced concrete structures. It was aimed to fix the SPSW elements to the exterior of the building. ABAQUS models of SPSW applied 2D frame samples, which were tested in a previous experimental study, were created. Experimental and analytical horizontal load-top displacement curves were found to be in good agreement. In the study, ABAQUS models of a 6-story and 3D reinforced concrete building were also created. In models, SPSW elements were placed at the exterior of the building. The load capacities of the reinforced and non-reinforced building models were compared. The steel sheet thickness and the number of frame openings at which the SPSW element was placed were considered as the variable parameters.
Application of Fuzzy Logic Control for Enhanced Speed Control and Efficiency in PMSM Drives Using FOC and SVPWM
(IOP Publishing Ltd, 2025) Oztok, Mahmut Furkan; Dursun, Emre Hasan
PMSMs (Permanent Magnet Synchronous Motors) are favored in industrial systems requiring fast dynamic response and precision, thanks to their high efficiency and torque-to-inertia ratio. To fully leverage these motors, advanced control techniques like Field-Oriented Control (FOC) are essential, as they decouple torque and flux. However, traditional FOC systems often use PI controllers, which suffer from limited adaptability and challenging tuning processes, especially in applications demanding quick responses. To overcome these limitations, the study compared fuzzy logic-based speed control strategies. Three control structures were modelled in MATLAB/Simulink, integrating SVPWM for enhanced performance: traditional FOC with PI controller, FOC with single-input Fuzzy Logic Controller (FLC), and FOC with two-input FLC (FLC2). The simulation results clearly demonstrated FLC2's superior performance, achieving only 0.53% overshoot and a 0.08-second settling time. Quantitative metrics like IAE, ITAE, and ISE further validated FLC2's superiority over conventional control structures. These findings prove that, particularly the two-input FLC, offers a robust and high-performance alternative to traditional PI control in industrial automation, electric vehicles, and energy-efficient motor applications. With its simplicity, adaptability, and improved control performance, FLCs can play a significant role in next-generation smart motor drive technologies.
Citation - WoS: 1
Citation - Scopus: 5
An Application on the Use of Fuzzy Multi Criteria Decision Making Methods for Software Project Development Process Selection
(Gazi Univ, Fac Engineering Architecture, 2023) Yel, İbrahim; Baysal, Mehmet Emin
Software development projects are difficult to manage, as they involve complex business stages and the resources used are made up of real people. Along with the specifications of the projects, organizational variables and the competencies of the team members are among the factors that will directly affect the success of the project. It is thought that the success of software development projects will increase with the use of these three factors in the solution of the software development process method selection problem. In the management of software projects, different process methods are used, including Agile and Waterfall (Traditional) Methods. It is important to assign development teams to projects according to their abilities and to rank the projects among themselves. As a first step in this study, the weights of the criteria were determined using the fuzzy AHP. Then fuzzy WASPAS, fuzzy EDAS and Interval Neutrosophic Z Numbers (NZN) methods were used to rank projects and employees. According to the results of this research with sensitivity analysis, it has been determined that if the software development method decision is implemented, the number of defects and their solutions can be improved by 4.2%-6%, 5.8%-7.3% and 6.8%-9.7% when compared to the actual values of person-day values.
Citation - WoS: 2
Citation - Scopus: 2
An Approach To Determine Pathological Breast Tissue Samples With Free-Space Measurement Method at 24 Ghz
(WILEY, 2024) Toprak, Rabia; Gultekin, Seyfettin Sinan; Kayabasi, Ahmet; Çelik, Zeliha Esin; Tekin, Fatma Hicret; Uzer, Dilek
Pathology is an important branch of science in the diagnosis and treatment of several diseases. In cancer diseases, serious investigations have been made about the course of the diseases. A report that is essential for both the patient and the doctor is prepared by the pathologists as a result of a detailed cellular examination. These reports contain information about the disease. Access duration to these reports, which affects the form and duration of the treatment, is extremely important today. It is possible to shorten this period with systems using antenna technologies. The pathological breast tissue samples have been examined by using horn antenna structures with high gain in this study. Dual identical horn antennas have been placed opposite each other as receivers and transmitters in the measurement setup at 24 GHz. Measurements of normal and cancerous breast tissues have been made, and the normalization process has been applied to the measured scattering parameters. The different values between normal and cancerous breast tissues have been shown with this process. The normalized values are compared with other analyzed values. According to the results obtained, the percentage of normalized values for transmission is much more effective and meaningful than other results.
Citation - WoS: 3
Citation - Scopus: 4
Approaches To Automated Land Subdivision Using Binary Search Algorithm in Zoning Applications
(Ice Publishing, 2022) Koç, İsmail; Çay, Tayfun; Babaoğlu, İsmail
The planned development of urban areas depends on zoning applications. Although zoning practices are performed using different techniques, the parcelling operations that shape the future view of the city are the same. Preparing the parcelling plans is an important step that has a direct impact on ownership structure and reallocation. Parcelling operations are traditionally handled manually by a technician. This is a serious problem in terms of time and cost. In this study, by taking the zoning legislation, the production of a pre-land subdivision plan has been automatically performed for a region of Konya, which is one of the major cities in Turkey. The parcelling processes have been performed in three different ways: the first parcelling technique is parcelling with edge values, the second is parcelling with area values and the third is parcelling using both edge and area values together. For the entire parcelling process, the area of the parcel has been calculated using the Gauss method. Moreover, to effectively determine the boundaries and to calculate the parcel area in the parcelling process, the binary search technique has been used in all the methods. The experimental results show that the parcelling operations were carried out very quickly and successfully.
Approximation by Bivariate Szasz-Mirakyan Operators Preserving E-2(p1+p2)
(Univ Nis, Fac Sci Math, 2025) Bodur, Murat
The present paper is dedicated to the modification of the bivariate generalized Szasz-Mirakyan operators while preserving the exponential functions exp(2, 2) where exp(tau(1), tau(2)) = e(-tau 1p1 - tau 2p2), tau(1), tau(2) is an element of R-0(+) , and p(1), p(2) >= 0. We thoroughly investigate the weighted approximation properties and also obtain the convergence rate for these operators by utilizing a weighted modulus of continuity. Additionally, we delve into the order of approximation by investigating local approximation results through Peetre's K-functional. Furthermore, we present the GBS (Generalized Boolean Sum) operators of Szasz-Mirakyan operators and obtain the order of approximation in terms of the Lipschitz class of Bogel continuous functions and the mixed modulus of smoothness. In order to enhance our theoretical findings and effectively showcase the efficiency of our developed operators, we have included a wide range of numerical examples using various values.
Citation - WoS: 5
Citation - Scopus: 3
Ar-Ar Geochronology and Sr-Nd Isotopic Systematics of the Post-Collisional Volcanic Rocks From the Karapinar-Karacadag Area (central Anatolia, Turkey): an Alternative Model for Orogenic Geochemical Signature in Sodic Alkali Basalts
(Ceska Geologicka Spolecnost, 2022) Gençoğlu Korkmaz, Gülin; Kurt, Hüseyin; Asan, Kürşad; Leybourne, Matthew
The Plio???Quaternary post-collisional volcanism in the Karap??nar area is represented by two occurrences: (1) Karacada?? Volcanic Complex (KCVC) and (2) Karap??nar Volcanic Field (KPVF). The investigated volcanic units are the southwes-tern part of the Neogene to Quaternary Cappadocia Volcanic Province (CVP) in Central Anatolia. The CVP generally displays calc???alkaline affinity in the Late Miocene to Pliocene rocks, but both calc-alkaline and sodic alkaline affinity in the Plio???Quaternary rocks, all of which have an orogenic geochemical signature. Such a volcanic activity contradicts the Western and Eastern Anatolian volcanism characterized by anorogenic OIB-like sodic alkaline volcanic rocks postdating early orogenic calc???alkaline ones. We hypothesize that such temporal and geochemical variations in the investigated rocks result from crustal contamination and present major and trace element chemistry and Sr???Nd???Pb???O isotope geochemistry, coupled with 40Ar/39Ar geochronology data to restrict the genesis and evolution of the rocks. The Neogene Karacada?? volcanic rocks are represented by lava flows, domes and their pyroclastic equivalents constituting a stratovolcano, and dated by new 40Ar/39Ar ages of 5.65 to 5.43 Ma. They are mainly composed of andesitic, rarely basaltic, dacitic and trachytic rocks and have a calc???alkaline character. Constituting a monogenetic volcanic field, the Quaternary Karap??nar volcanic rocks are typically formed by cinder cones, maars and associated lavas, including xenoliths and xenocrysts plucked from the Karacada?? rocks. They comprise basaltic to andesitic rocks with a transitional affinity, from sodic alkaline to calc???alkaline. Both the Karacada?? and Karap??nar volcanic rocks display incompatible trace element patterns rather characteristic for orogenic volcanic rocks. The Sr, Nd and Pb isotopic systematics of both units show a relatively narrow range, but their ??18O values are markedly different. The Karacadag volcanic rocks have ??18O values ranging from 7.5 to 8.9 ???, resembling those of subduction-related basalts, but the Karap??nar volcanics have ??18O ratios between 5.7 and 6.5 ??? corresponding to OIB-like rocks. Additionally, ??18O values and 87Sr/86Sr ratios correlate positively with SiO2 in the rocks, indicating that contamination played an important role during differentiation processes. All the data obtained suggest that the Karacada?? basaltic rocks stemmed from a subduction-modified lithospheric mantle source. On the other hand, the origin of the Karap??nar basaltic rocks can be explained in terms of OIB-like melts contaminated with the Karacada?? volcanic rocks to gain orogenic geochemical signature, which may be an alternative model for the origin of the CVP sodic alkali basalts.
Artificial Neural Network Analysis of Titanium Dissolution Kinetics in a Sustainable DL-Malic Acid and Sodium Fluoride System: a Fundamental Study Using the Rotating Disc Method
(Taylor & Francis Ltd, 2025) Motasim, Mahmoud; Abbaker, Ahmed; Agacayak, Tevfik; Aydogan, Salih; Boyrazli, Mustafa; Abbas, Mohaid; Seifelnassr, Ahmed A. S.
This investigation presents a comprehensive kinetic analysis of titanium dissolution utilising DL-malic acid (a 50/50 mix of D- and L- isomer off malic acid) in conjunction with sodium fluoride solution, offering an innovative alternative to conventional chloride and sulphate methodologies. The experimental protocol employed a rotating disc apparatus to elucidate dissolution kinetics under systematically varied parameters, including angular velocity (rad/min), disc surface area (cm(2)), temperature (degrees C), and molar concentrations of DL-malic acid and sodium fluoride. A sophisticated Artificial Neural Network (ANN) architecture, implementing back-propagation methodology through the Levenberg-Marquardt algorithm with a multilayer {6-10-1} configuration, was developed to predict titanium dissolution behavior. Experimental findings demonstrated that sodium fluoride concentration predominantly influenced dissolution kinetics, manifesting a chemical reaction order of 0.674. The investigation substantiated the theoretical framework of the Levich equation within the rotating disc paradigm. The ANN model demonstrated exceptional predictive capability, achieving correlation coefficients (R-2) of 0.995, 0.994, 0.996, and 0.995 for training, validation, testing, and aggregate datasets. The experimentally determined activation energy of 23 kJ/mol conclusively indicated a diffusion-controlled reaction mechanism, providing fundamental insights into the mass transfer phenomena governing the dissolution process. Cette & eacute;tude pr & eacute;sente une analyse cin & eacute;tique compl & egrave;te de la dissolution du titane utilisant l'acide malique-DL (un m & eacute;lange 50/50 d'isom & egrave;res D et L de l'acide malique) en conjonction avec une solution de fluorure de sodium, offrant un choix innovateur par rapport aux m & eacute;thodologies conventionnelles au chlorure et au sulfate. Le protocole exp & eacute;rimental a utilis & eacute; un appareil & agrave; disque rotatif pour & eacute;lucider la cin & eacute;tique de dissolution, avec des param & egrave;tres vari & eacute;s syst & eacute;matiquement, notamment la vitesse angulaire (rad/min), la superficie du disque (cm2), la temp & eacute;rature (degrees C) et les concentrations molaires de l'acide malique-DL et de fluorure de sodium. On a d & eacute;velopp & eacute; une architecture sophistiqu & eacute;e de r & eacute;seau neuronal artificiel (RNA), mettant en oe uvre une m & eacute;thodologie de r & eacute;tropropagation au moyen de l'algorithme de Levenberg-Marquardt avec une configuration multicouche {6-10-1}, afin de pr & eacute;dire le comportement de dissolution du titane. Les r & eacute;sultats exp & eacute;rimentaux ont d & eacute;montr & eacute; que la concentration en fluorure de sodium influen & ccedil;ait principalement la cin & eacute;tique de dissolution, produisant un ordre de r & eacute;action chimique de 0.674. L'& eacute;tude a corrobor & eacute; le cadre th & eacute;orique de l'& eacute;quation de Levich dans le paradigme du disque rotatif. Le mod & egrave;le de RNA a d & eacute;montr & eacute; une capacit & eacute; exceptionnelle de pr & eacute;diction, atteignant des coefficients de corr & eacute;lation (R2) de 0.995, 0.994, 0.996 et 0.995 pour l'apprentissage, la validation, les essais et les ensembles de donn & eacute;es agr & eacute;g & eacute;es. L'& eacute;nergie d'activation de 23 kJ/mol d & eacute;termin & eacute;e exp & eacute;rimentalement a indiqu & eacute; de mani & egrave;re concluante un m & eacute;canisme de r & eacute;action contr & ocirc;l & eacute; par diffusion, fournissant des informations fondamentales sur les ph & eacute;nom & egrave;nes de transfert de masse gouvernant le proc & eacute;d & eacute; de dissolution.

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