01. Araştırma Çıktıları | WoS | Scopus | TR-Dizin | PubMed

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Citation - Scopus: 5
Achieving Shojinka by Integrated Balancing of Multiple Straight Lines With Resource Dependent Task Times
(Springer New York LLC, 2019) Atasagun, Y.; Kara, Y.; Can Atasagun, Gözde
The concept of Shojinka, which is an important element of Just in Time production system, is attaining flexibility on the number of workers in a workshop due to demand variations. Even though Just in Time production system adopts U-shaped line layout, traditional straight lines can be combined and balanced in an integrated manner to obtain the advantages of Shojinka. In this case, the problem, which is called Integrated Balancing of Multiple Straight Lines, arises. On the other hand, the basic assumption of assembly line balancing is that every task’s time is fixed. However, in practice, different resource alternatives such as equipment or assistant worker may be available to process a task with different times. The problem in this case is to assign tasks and resources to stations that minimise total cost. In this study, a binary integer mathematical model is presented for integrated balancing of multiple straight lines, assuming that task times are resource dependent. The proposed model is illustrated and validated using several examples. An experimental analysis is also conducted to emphasize the advantages of the integrated balancing concept, compared to the situation in which the lines are balanced independent from each other. The experimental results show that, when multiple straight assembly lines are balanced in an integrated manner with resource dependent task times, an average total cost improvement of 23.105% can be obtained compared to the independent balances of the lines. This is a significant improvement that emphasizes the importance of balancing multiple straight lines in an integrated manner, to take the advantages of shojinka and to adhere to the main philosophy of Just in Time. © Springer Nature Switzerland AG 2019.
Citation - Scopus: 2
Advanced Applications of Green Materials for Gas Separation and Storage
(Elsevier, 2020) Kırbıyık Kurukavak, Çisem; Kuş, Mahmut
Extraordinary increase in global energy demand and supply, thus the environmental pollution, is one of the most important problem for today’s modern life. Gas separation and storage applications are closely related to control of the greenhouse gas and to use of clean and renewable energy. The development of green materials with desired combination properties and corresponding methods for target applications, which can minimize the environmental impact by using renewable sources has been having a growing attention over the last decades. Green and eco-friendly techniques, also called as “green chemistry, " focus on the processes and products, which reduce the use of hazardous substances and nonrenewable sources. Membrane separation, absorption, and physical adsorption for gas separation, purification, and storage are considered to be energy-efficient, low-cost, renewable, and environmental-friendly for a sustainable future. In this section, we highlight the details of these green techniques in gas separation and storage applications. © 2021 Elsevier Ltd. All rights reserved.
Citation - Scopus: 2
Advanced Applications of Green Materials in Bioelectronics Applications
(Elsevier, 2020) Yılmaz, Tuğbahan; Kuş, Mahmut
Green materials have great potential to become a primary research area for bioelectronic integration. Over the last three decades, bioelectronic applications have been getting great interest due to their low cost, flexible, nontoxic, large-volume electronic components that are sustainable, biocompatible, biodegradable, and bioresorbable. Therefore the versatility of bioelectronics applications, such as organic field-effect transistors and biosensors, promises a bright future. This chapter will highlight recent progress in the natural materials and some of their applications in bioelectronics devices. The key strategies and the forecast perspectives of this research field are also briefly summarized. © 2021 Elsevier Ltd. All rights reserved.
Citation - Scopus: 2
Agricultural Land Suitability Analysis
(Springer International Publishing, 2023) Orhan, O.; Makineci, H.B.
Citation - Scopus: 3
An Application of the Bees Algorithm To Pulsating Hydroforming
(Springer Nature, 2023) Öztürk, O.; Şen, M.A.; Kalyoncu, M.; Halkacı, H.S.
Pulsating hydroforming is a sheet forming process proposed in the last decade. The numerical simulation of this process requires biaxial stress–strain curves which can be obtained by performing a pulsating hydraulic bulge test. In this study, the input parameters of a pulsating hydraulic bulge test with titanium alloy sheets (Ti-6Al-4 V) are optimised using the Bees Algorithm (BA). The input parameters are amplitude and base pressure; bulge height (h) and minimum thickness (t) at dome apex are outputs. The mathematical modelling of h and the design of an objective function (J) are needed for optimisation. A second-degree polynomial equation is derived for h using curve fitting for three frequencies. Additionally, t is calculated depending on h. The objective function is designed for maximum normalised bulge height and minimum normalised thickness. The results show less thinning at the dome apex with a bulge height similar to that of the traditional monotonous method. Thus, a uniform thickness distribution, which is a critical quality indicator in hydroforming, is obtained with acceptable loss in bulge height. After optimisation, ?t (t-t0) is improved by approximately 9%. The bulge height increases by 15 and 13% in the best experimental case and the BA-optimised results, respectively. Consequently, the ductility of Ti-6Al-4 V sheet is increased, and the input parameters are optimised. © 2023, The Author(s), under exclusive license to Springer Nature Switzerland AG.
Artificial Neural Network Approach for Predicting Student Achievement in Scratch Training
(Springer Science and Business Media Deutschland GmbH, 2024) Çetinkaya, A.
In the contemporary era, the acquisition of vital competencies for the twenty-first century, such as critical thinking, analytical reasoning, and problem-solving, has assumed paramount importance for individual sustenance. A substantial corpus of scholarly research has surfaced, with a primary emphasis on utilizing machine learning and statistical methodologies to forecast the academic achievement of pupils in higher education. Nevertheless, the importance of predicting the academic achievement of elementary and middle school pupils, specifically in the field of computer programming, is growing significantly. The primary objective of this study was to utilize an Artificial Neural Network (ANN) for the purpose of predicting student outcomes in a trial. These predictions made by the ANN were subsequently compared against expert evaluations. Furthermore, the primary objective of this study was to examine the hypothesis that the level of students’ interest in coding and algorithms can be enhanced by the creation of games using a visual programming platform designed for beginners. In order to achieve this objective, the Artificial Neural Network (ANN) was employed to predict the performance of middle school children in a programming exercise. The activity was done on the Scratch platform, and involved the participation of three separate cohorts of middle school students from Turkey. The best results were obtained using the Bayesian regularization algorithm: Training-R = 9.5797−1; Test-R = 7.5072−1, and All-R = 9.3752e−1. © The Author(s), under exclusive license to Springer Nature Switzerland AG 2024.
Autogenous Self-Healing Assessment of 1-Year Cementitious Composites
(Springer Science and Business Media B.V., 2021) Yildirim, Gurkan; Ulugol, Huseyin; Ozturk, Oguzhan; Sahmaran, Mustafa
Traditional concrete materials are prone to cracking and as cracks form, durability issues arise which reduce the expected service life of the materials followed by structures incorporating them. This, in many occasions, may lead to repetitive repair and maintenance or even re-construction of certain structural/non-structural sections and structures. Thus, it is highly desirable to reduce the chance and/or further development of cracking. Engineered Cementitious Composites (ECC) are feasible materials to suppress cracking formation and progression through their strain-hardening response under uniaxial tensile loading conditions. Even at the stage of failure, these materials exhibit micron-size cracks which significantly improve the capability to resist against detrimental durability issues. Moreover, these microcracks are constantly reported to be closed through autogenous healing mechanisms with no external interference from outside which significantly improve the mechanical and durability performance and service life of these materials and structures incorporating them. However, the performance of autogenous self-healing in ECC is called into question, especially for late-age specimens since reactions which produce products to plug the micro-size cracks stabilize as the specimens get more and more mature. To clarify this subject, in this study, 1-year-old specimens produced from ECC mixtures incorporated with different mineral admixtures (i.e. Class-F fly ash and ground granulated blast furnace slag) were tested for their self-healing performance. For self-healing evaluation, specimens which were severely preloaded for creating microcracks, were subjected to four different curing conditions which included "Water", "Air", "CO2-water" and "CO2-air" for 90 additional days beyond initial 1 year. Tests used for self-healing assessments were electrical impedance (EI) and rapid chloride permeability (RCP). Results indicate that water is a must-have component for enhanced autogenous self-healing efficiency. "CO2-Water" curing results in the most effective self-healing performance regardless of the composition of ECC mixtures. By properly adjusting mixture proportions and curing conditions, microcracks as large as nearly half a millimeter (458 mu m) can be healed in only 30 days of further curing. Overall, results clearly suggest that late-age autogenous self-healing capability of ECC can be made as effective as the early-age with proper further environmental conditioning and mixture design.
Citation - Scopus: 10
The Boriding Process for Enhancing the Surface Properties of High-Temperature Metallic Materials
(Springer Science and Business Media Deutschland GmbH, 2024) Campos, Silva, I.E.; Günen, A.; Serdar, Karakaş, M.; Delgado, Brito, A.M.
High-temperature metallic materials operate in environments with a broad spectrum of mechanical and chemical conditions, originating typical failures such as steam oxidation, hot corrosion, and wear-corrosion; the service life of the metallic component is reduced with severe economic losses. The ever-increasing demands for enhanced component performance require continuous improvements in existing material systems. In this sense, boriding is a promising thermochemical process used to increase the surface properties of metallic materials for high-temperature applications. The resulting boride coating has excellent wear resistance at high temperatures due to its high hardness, thermal, and chemical stability, and adhesion to the substrate material. In addition, the boride coating is resistant to corrosion in acidic, alkaline, and salt media, suitable for use in harsh environments. The mechanical and chemical properties of the boride coating are preserved at high temperatures (up to 1000 °C); the probability of the boride coating cracking or spalling at high temperature is negligible. This chapter reviews the various boriding methods as adopted for the formation of boride coating on high-temperature metallic materials to improve its performance for diverse high-temperature applications. Wear, practical adhesion, oxidation, corrosion, and tribocorrosion properties of borided materials are explained in terms of the boride coating-substrate system behavior. © The Author(s), under exclusive license to Springer Nature Switzerland AG 2024.
Citation - Scopus: 15
Chaos Theory in Metaheuristics
(Elsevier, 2023) Türkoğlu, B.; Uymaz, S.A.; Kaya, E.
Metaheuristic optimization is the technique of finding the most suitable solution among the possible solutions for a particular problem. We encounter many problems in the real world, such as timetabling, path planning, packing, traveling salesman, trajectory optimization, and engineering design problems. The two main problems faced by all metaheuristic algorithms are being stuck in local optima and early convergence. To overcome these problems and achieve better performance, chaos theory is included in the metaheuristic optimization. The chaotic maps are employed to balance the exploration and exploitation efficiently and improve the performance of algorithms in terms of both local optima avoidance and convergence speed. The literature shows that chaotic maps can significantly boost the performance of metaheuristic optimization algorithms. In this chapter, chaos theory and chaotic maps are briefly explained. The use of chaotic maps in metaheuristic is presented, and an enhanced version of GSA with chaotic maps is shown as an application. © 2023 Elsevier Inc. All rights reserved.
Citation - Scopus: 8
Characterization of Bionanocomposites
(Elsevier, 2021) Kırbıyık Kurukavak, Çisem; Yılmaz, Tuğbahan
Bionanocomposites have gained a great interest from researchers as they offer remarkable properties to be used in different fields, including biology, materials science, chemistry, and nanotechnology. However, it is well known that the specific application can only be determined if their structure is illuminated at the atomic level. This chapter describes a brief overview of some spectroscopic and morphologic characterization techniques to understand the morphology, microstructure, and intermolecular interactions of bionanocomposites. © 2021 Elsevier Ltd All rights reserved.
Citation - Scopus: 11
Classification of Unhealthy and Healthy Neonates in Neonatal Intensive Care Units Using Medical Thermography Processing and Artificial Neural Network
(Elsevier, 2019) Savaşcı, D.; Ornek, A.H.; Ervural, S.; Ceylan, M.; Konak, M.; Soylu, H.
Tracking temperature changes of neonatals in the neonatal intensive care unit is quite important in the prediagnosis of diseases or the evaluation of follow-up treatment. The purpose of this study is to develop an analysis system based on thermal imaging, which is the contact-free, nonionized and noninvasive method for the neonatal. For this purpose, 190 images taken from 19 healthy and 19 unhealthy neonates were used. In general, this study consists of three steps. First, the temperature map of the images was segmented. Then, discrete wavelet transform (DWT), curvelet transform and contourlet transform as multiresolution methods were applied to them, and feature vectors were extracted by using their approximation coefficients. After that, all feature vectors were given as an input to the artificial neural networks (ANN) and support vector machines. According to the obtained results, the best accuracy rate was 98.42% when using DWT+ANN. © 2019 Elsevier Inc. All rights reserved.
Citation - Scopus: 91
Coronavirus (covid-19) Classification Using Deep Features Fusion and Ranking Technique
(Springer Science and Business Media Deutschland GmbH, 2020) Özkaya, U.; Öztürk, Ş.; Barstugan, M.
COVID-19, which appeared towards the end of 2019, has become a huge threat to public health. The solution to this threat, which is defined as a global epidemic by the World Health Organization (WHO), is currently undergoing very intensive studies. There is a consensus that the use of Computed Tomography (CT) techniques for early diagnosis of pandemic disease gives both fast and accurate results. This study provides an automated and highly effective method for detecting COVID-19 at an early stage. CT image features are extracted using the convolutional neural network (CNN) architecture, which is the most successful image processing tool of today, for the detection of COVID-19, where early detection is vital for human life. Representation power is increased by combining features from the output of four CNN architectures with data fusion. Finally, the features combined with the feature ranking method are sorted, and their length is reduced. In this way, the dimensional curse is saved. From 150 CT images, 16 × 16 (Subset-1) and 32 × 32 (Subset-2) patches were obtained to create a subset. Within the scope of the proposed method, 3000 patch images are labeled as “COVID-19 (coronavirus)” or “No finding” for use in training and test stages. The Support Vector Machine (SVM) method then classified the processed data. The proposed method shows high performance in Subset-2 with 98.27% accuracy, 98.93% sensitivity, 97.60% specificity, 97.63% sensitivity, 98.28% F1 score and 96.54% Matthews Correlation Coefficient (MCC) metrics. © 2020, The Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Switzerland AG.
Citation - Scopus: 11
Design and Synthesis of Metal Oxide-Polymer Composites
(Elsevier, 2022) Kaya Güzel, Gülcihan; Deveci, Hüseyin
Recently, metal oxide-polymer composites have received significant attention in many industrial fields. The combination of metal oxides (commonly used TiO2, ZnO, Fe3O4, and Al2O3) with a polymer matrix governs to produce high-performance metal oxide-polymer composites by in situ polymerization, sol-gel method, solution blending, or melt blending. Design of the metal oxide-polymer composites is essential to meet requirements for tailored productions of the composite materials. Many design parameters such as metal oxide characteristics and alignment, polymer matrix structure, amount of metal oxide/polymer matrix, surface modifications, and production conditions considerably affect interactions between a metal oxide and polymer matrix. Good compatibility of metal oxide with polymer matrix through homogeneous dispersion of the metal oxide in the matrix provides synergistic effects on the properties of the composites. The authors represented the design and synthesis of the metal oxide-polymer composites in detail in this chapter. Enhanced mechanical, electrical, optical, magnetic, thermal, barrier, and antibacterial properties of the metal oxide-polymer composites were briefly mentioned depending on design parameters. © 2022 Elsevier Inc. All rights reserved.
Design of Goods and Services
(CRC Press, 2023) Değirmencioğlu, Y.; Kara, Y.
By using an effective product strategy, businesses can select, design, and put into production a new product. The right production strategy provides maximum benefit to enterprises. Business managers should be able to select, design, develop, and produce products that can provide a competitive advantage for the business. As products move through their lifecycles (introduction, development, maturity, decline), strategies business managers must follow also change. Business managers need to determine which strategy will be in the best interest of the business in which period. While determining these strategies, customer requests and expectations should also be taken into consideration. Quality function deployment is a method used to determine the value of all the technical characteristics that a product or service must have in order to fully meet the customer’s needs. The house of quality, one of the tools of quality function deployment, is used to describe the relationship between customer requests and product features. Thanks to the house of quality, the wishes and expectations of the customers can be determined, customer expectations can be turned into technical definitions that can be used in the engineering phase, and businesses can determine whether their products and their competitors’ products meet customer expectations. © 2023 selection and editorial matter, Turan Paksoy and Muhammet Deveci; individual chapters, the contributors.
Citation - Scopus: 1
Determination of Autogenous Self-Healing Capability of Cementitious Composites Through Non-Destructive Testing
(Springer Science and Business Media B.V., 2021) Yıldırım, Gürkan; Öztürk, Oğuzhan; Ulugöl, H.; Hatem, M.; Şahmaran, Mustafa
Unlike conventional concrete and fiber reinforced concrete, Engineered Cementitious Composites (ECC) display closely spaced multiple microcracks through strain/deflection-hardening response when subjected to tension-based loadings. These multiple microcracks allow ECC to be characterized with inherent autogenous self-healing capability. With the emergence of cement-based composites exhibiting multiple tight cracking, possibility for favoring the intrinsic self-healing behavior increased. Self-healing phenomenon in cementitious composites is being studied extensively nowadays. Although, great number of tests utilized to evaluate the self-healing mechanism in cementitious composites, implementation can be time consuming in some occasions and results from different tests may not always well-suit. Thus, different from other studies in literature, direct electrical impedance (EI) measurements were used in the present study to evaluate the self-healing performance of ECC mixtures along with rapid chloride permeability test (RCPT) and resonant frequency (RF) measurements. Experimental results revealed that EI testing is rather easy to perform and takes very limited time but it seems that the method itself is markedly influenced by anything modifying ionic state of specimens. Therefore, it looks like a hard task to very accurately assess the self-healing performance of ECC specimens considering the fact that both ongoing hydration and calcium carbonate precipitation which are regarded to be the main mechanisms contributing to the autogenous self-healing significantly changes the specimens’ pore solution chemistry. Well-fitting exponential relationship exists between EI and RCPT measurements at different ages regardless of the mixture and specimen type. However, results from RF tests do not correlate either with EI or RCPT results which is attributed to the different parameters having paramount influence on the individual tests. Although results from different tests do not always correlate well among themselves, three different tests used for the present study are capable of monitoring the self-healing behavior with differing efficiencies. © 2021, The Author(s), under exclusive license to Springer Nature Switzerland AG.
Citation - WoS: 1
Citation - Scopus: 1
Determination of Autogenous Self-Healing Capability of Cementitious Composites Through Non-Destructive Testing
(Springer Science and Business Media B.V., 2021) Yildirim, Gurkan; Ozturk, Oguzhan; Ulugol, Huseyin; Hatem, Muhammed; Sahmaran, Mustafa
Unlike conventional concrete and fiber reinforced concrete, Engineered Cementitious Composites (ECC) display closely spaced multiple microcracks through strain/deflection-hardening response when subjected to tension-based loadings. These multiple microcracks allow ECC to be characterized with inherent autogenous self-healing capability. With the emergence of cement-based composites exhibiting multiple tight cracking, possibility for favoring the intrinsic self-healing behavior increased. Self-healing phenomenon in cementitious composites is being studied extensively nowadays. Although, great number of tests utilized to evaluate the self-healing mechanism in cementitious composites, implementation can be time consuming in some occasions and results from different tests may not always well-suit. Thus, different from other studies in literature, direct electrical impedance (EI) measurements were used in the present study to evaluate the self-healing performance of ECC mixtures along with rapid chloride permeability test (RCPT) and resonant frequency (RF) measurements. Experimental results revealed that EI testing is rather easy to perform and takes very limited time but it seems that the method itself is markedly influenced by anything modifying ionic state of specimens. Therefore, it looks like a hard task to very accurately assess the self-healing performance of ECC specimens considering the fact that both ongoing hydration and calcium carbonate precipitation which are regarded to be the main mechanisms contributing to the autogenous self-healing significantly changes the specimens' pore solution chemistry. Well-fitting exponential relationship exists between EI and RCPT measurements at different ages regardless of the mixture and specimen type. However, results from RF tests do not correlate either with EI or RCPT results which is attributed to the different parameters having paramount influence on the individual tests. Although results from different tests do not always correlate well among themselves, three different tests used for the present study are capable of monitoring the self-healing behavior with differing efficiencies.
The Divine Comedy
(Bentham Science Publishers, 2021) Korumaz, S.A.G.
The Divine Comedy, a masterpiece of western world poetry, relates Dante's imaginary trip to Hell, Purgatory, and Heaven. The Divine Comedy is one of the longest-running poems in the history of poetry, with a total number of strings reaching 14,233. Dante's trip, which started on Thursday night, April 7, 1300, lasted one week, with the poet Virgil guiding him. On top of Purgatory, Virgil gives way to Beatrice, who guides Dante in Paradise. When Dante sees Beatrice for the first time, he is nine years old and Beatrice is eight. She was an inspiration for his thoughts during his life. The Divine Comedy, which takes the epic of Virgil's Aeneis as an example and can be regarded as a lament burned in an extraordinary love supported by mythology, history and scriptures, is an encyclopaedia that sheds light on many sciences. The Divine Comedy (Divina Commedia), written by Dante in Tuscan Italian with a high style, shines like a sun in Italian literature. Dante, who invented his own style and made Italian a literary language, became an example of the Italian language with this work. Dante makes three journeys in The Divine Comedy. His first journey is the journey to Hell, full of great obstacles. The second journey, the Purgatory travel, is easier and more hopeful. The third journey, Paradise, is a journey accompanied by music, dance, and light. During these travels, Dante is guided by Virgil (Wisdom), Beatrice (Beauty) and Saint Bernard (Power). At the end of his travels, Dante attains the Light. Dante expresses his thoughts as follows: "The power that brings me into being is the highest wisdom, beauty and first love"... This great poetic work is a depiction of the whole era that beautifully describes the life of the thirteenth and fourteenth centuries. © 2021 Bentham Science Publishers. All rights reserved.
Effect of Binary-Use Mineral Admixtures for the Advanced Autogenous Self-Healing Behavior of Fiber-Reinforced Cementitious Composites
(Springer Science and Business Media B.V., 2021) Öztürk, Oğuzhan; Roig-Flores, M.
This paper comprises the enhanced self-healing properties of fiber-reinforced cementitious composites by taking advantage of synergistic effect of using different mineral admixtures. To do this, single and binary use of metakaolin (MK) and zeolite (Z) were utilized in cement-based mixtures, and early age self-healing behavior of specimens was assessed based on sorptivity tests. The autogenous self-healing performance of each mixture was also evaluated via crack width assessments by using a video microscope. Results were compared with the sound and preloaded specimens having different crack width levels. In addition, mechanical properties of four different mixtures were evaluated by conducting experiments on 7 and 28 days. The multiple crack width closures and sorptivity coefficients of preloaded specimens indicated that an effective combination of MK and Z can trigger a higher level of self-healing in comparison with reference mixture. However, single-use of Z in mixtures was also promising for achieving autogenous self-healing attributes compared to mixtures containing only MK and to reference mixtures. Having said that, this behavior should also be addressed for different pre-cracking and prolonged curing age of each mixture. © 2021, RILEM.
Citation - Scopus: 1
The Effect of Harmony Memory Integration Into the Bees Algorithm
(Springer Nature, 2023) Acar, O.; Sağlam, H.; Şaka, Z.
The advent of optimization algorithms facilitated finding good solutions for engineering problems. This paper presents a comparative case study between two algorithms relevant to bee search methods. One of the algorithms was modified by adding harmonic memory, which is a stage of the Harmonic Search Algorithm. Both algorithms were applied to a spherical four-link mechanism for gripper design as a case study. The results in terms of the coupler trajectory of the mechanism showed the superiority of integrating harmony memory into the Bees Algorithm. A prototype is manufactured to show the success of rapid design and production. © 2023, The Author(s), under exclusive license to Springer Nature Switzerland AG.
Citation - Scopus: 1
Environmental Impact of Biobased Materials
(Taylor and Francis, 2024) Kurukavak, Ç.K.; Tok, M.
The materials used to contribute to the development and progress of human life have been used directly, and naturally without any processing in the early ages, but with the increase in human needs in parallel with technological developments, they have started to be processed in accordance with the purpose. Based on this, climate change and environmental pollution, which are the biggest problems of our age, and concerns about the safety of industrial raw materials have enabled the biodegradable and sustainable materials. The advancement of biodegradable biobased plastics with excellent properties is of great interest in last years. In this chapter, the main properties and advantages of the most widely investigated biodegradable biobased plastics (BBPs) in food packaging applications and their environmental impacts are overviewed. Special attention is given to raw materials, energy requirements, and scalability used to produce BBPs for food packaging applications. Different bionanocomposites prepared with incorporation of nanofillers are also explored. This part is constructed on current studies of overview of BBPs about their use as food packaging material. © The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd. 2023.

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