Sürdürülebilir Kalkınma Amaçları

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  • MakaleAçık Erişim2025
    Investigation of the Benefits of the Floating Solar Power Plant to be Established on Keban Dam Lake using Penman, Linacre and Artificial Neural Networks Methods

    Esen, Hikmet; Kurt, Savaş; Toka, UnalT Unal

    In this study, it will be calculated how much water evaporation will be prevented if a Floating Solar Power Plant (FSPP) is installed on a certain part of the Keban Dam lake in Elazığ (38.41˚N, 39.14˚E), Türkiye by using the Penman and Linacre methods and the Artificial Neural Networks (ANN) method, which are widely used in evaporation calculation. Thus, it will be calculated how much energy can be produced with this saved water. Keban Hydroelectric Power Plant (HPP), examined in this study, is Türkiye's 3rd largest hydroelectric power plant with an installed power of 1.330 MWe. It is the fourth largest lake in Türkiye and the second largest dam lake after the Atatürk Dam. Keban Dam meets the electrical energy needs of 1.750.733 people in their daily lives with an average electricity production of 5.794.927,279 kWh. It has been calculated that thanks to a floating photovoltaic power plant that will cover 10% of the dam lake, a total of 31.305.282 m3 of water in normal water code will be prevented from evaporating annually, and thanks to this water, energy benefit will be provided with the power plant with an installed power of 6.624,84 MWe. In addition, it has been analyzed that 11.297.018 kWh of electricity can be produced from the dam turbines with the water prevented from evaporating thanks to FSPP. Approximately 72.39 MWe energy is needed for the Ağın, Pertek, Serince, Palu-Kovancılar, Uluova, Kuzova irrigation projects around the Keban Dam lake. It has been determined that the amount of water and energy needed for irrigation of these plains can be obtained thanks to FSPP.

    • SDG 6 · Temiz Su ve Sanitasyon
    • SDG 7 · Erişilebilir ve Temiz Enerji
    • SDG 9 · Sanayi, Yenilikçilik ve Altyapı
    • SDG 13 · İklim Eylemi
  • MakaleYalnız künye2025
    Risk assessment in cheese production process using failure mode and effects analysis and intuitionistic fuzzy topsis

    Ünlükal, Ceren; Şenel, Mine; Şenel, Bilgin; Avarbek, Kenan

    The aim of this study is to evaluate the cheese production process, which plays a significant role in the milk and dairy industry, in terms of physical, chemical, and microbiological risks using the integrated Failure Mode and Effects Analysis (FMEA) and Intuitionistic Fuzzy TOPSIS (IF-TOPSIS) methods. Although the classical FMEA method is a widely used analytical technique that helps identify and reduce potential risks in processes, it has some drawbacks: such as the possibility that different failure modes may have the same risk priority values (RPN) and risk factor weights. To address this shortcoming, the intuitionistic fuzzy set theory was used to determine the RPN values. This study aimed to identify failures that may occur at critical steps in the production chain, their possible causes, their impact on product quality, and the priority of preventive actions. The study demonstrates that the intuitionistic fuzzy multi-criteria decision-making (MCDM) approach is an effective tool for food safety and quality management in the dairy products industry.

  • MakaleAçık Erişim2024
    Investigation of tool wear and thrust force in drilling aisi 316 austenitic stainless steel using electrophoresis method

    Mahmat, Aybars

    Cutting tool costs are an important component of machining. For this reason, improving machining methods in machining affects the life of the cutting tool. Recently, various machining methods have been used to extend tool life by reducing cutting tool wear. One of these methods is electrophoresis-assisted processing. Electrophoresis-assisted machining is a non-traditional machining method created by the impact of abrasive nanoparticles on the machining area with the help of the generated electric field. Electrophoresis-assisted machining increases the machinability of difficult-to-machine materials with high strength and hardness properties compared to traditional machining methods. In this study, the impacts of various cutting parameters on the drilling performance of AISI 316 L stainless steel material were searched using electrophoresis-assisted drilling (EAD) and conventional drilling (CD) methods. In the study, SiC powder was used as nanoparticles in the solution obtained to create the electric field. Within the scope of the experiments, the effects of different machining methods, cutting speeds and feed rates on thrust forces and cutting tool wear values were experimentally examined. As a result of the investigations, the cutting tool wear and thrust cutting force obtained with EAD are better than CM. Increasing feed rate and cutting speed increased cutting tool wear in both machining methods. It has been determined that the thrust force decreases as the cutting speed increases, while it increases as the feed rate increases.Keywords: Electrophoresis, drilling, cutting force, tool wear, AISI 316

  • MakaleAçık Erişim2023
    AISI 52100 Rulman Çeliğinin Ultrasonik Tornalama Yöntemi ile Kesici Takım Ömrünün İncelenmesi

    Tosun, Nihat; Mahmat, Aybars; Ağar, Salih

    Bu çalışmada, AISI 52100 çeliğinin geleneksel ve ultrasonik tornalanmasında işlem parametrelerinin performans karakteristikleri üzerindeki etkileri yani AISI 52100 çeliğinin işlenebilirliği deneysel, sayısal ve istatistiksel olarak araştırıldı. Çalışmada, işlenebilirliğin tespit edilmesi amacıyla, bağımsız değişkenlerin takım ömrü üzerine olan etkileri belirlendi. Deneysel çalışmalar, 50, 100 ve 150 m/dak kesme hızları, 0.1 mm/devir sabit ilerleme ve 0.5 mm sabit talaş derinliği gibi işleme şartları altında, sementit karbür ve kübik bor nitrür (CBN) kesici takımlar kullanılarak yürütüldü. Ultrasonik tornalamada, kesici takıma iki farklı titreşim genliği (5 ve 10 µm) ve iki farklı titreşim frekansı (20 ve 30 kHz) uygulandı.

  • MakaleAçık Erişim2023
    Antimicrobial Activity of Essential Oils of Foeniculum vulgare Mill and Pimpinella anisum L (Apiaceae) Species

    Gedik, Osman; Yazdıç, Ferit Can; Tasar, Neslihan; Karaman, Altuğ

    Today, essential oils are considered safe substances and can be used as antibacterial additives. Pimpinella anisum L. (Aniseed) and Foeniculum vulgare Mill. var. dulce (fennel) species are of great economic importance. It is among the medicinal and aromatic plants cultivated in wide areas in our country. In this study, it was aimed to determine the antimicrobial properties of essential oils obtained from Foeniculum vulgare Mill. and Pimpinella anisum L plants. The essential oils of the species were obtained by using the distillation method. The antimicrobial activities of essential oils by hand were studied using the hollow agar method. Known to be medically important in food, cosmetics and pharmaceutical products Enterobacter aerogenes (ATCC 13048), Enterococcus faecalis (ATCC 29212), Salmonella enteritidis (ATCC 13075), Staphylococcus aureus subsp. aureus (ATCC 25923), Escherichia coli (ATCC 25922) and Serratia marcescens (ATCC 13880) evaluated against pathogen and microbial contaminants. While Foeniculum vulgare showed results parallel to the antibiotic used as standard, no antibacterial activity was observed in Pimpinella anisum L.

    • SDG 3 · Sağlık ve Kaliteli Yaşam
    AtıfOpenAlex2TR Dizin2
    TR Dizinİncele
  • MakaleAçık Erişim2023
    Numerical Analysis of Double Geopolymer Concrete Layer with Different Properties

    Polat, Berivan Yılmazer

    Researchers have been working to find alternatives to conventionally produced concrete in recent years. Geopolymer concretes are also the focus of these studies. There are not enough studies on modelling geopolymer concretes, which are the subject of many experimental studies. In this study, which is believed to close the gap in the literature, stress and strain analyses of geopolymer concrete with two different properties under load in two different systems were performed. The locations of the concrete with different properties were also changed in the model, and the results obtained in both cases were compared. It was observed that when the geopolymer concrete with a lower modulus of elasticity and 100% slag content was on top, the stress values decreased, and the strain rates increased.

  • MakaleAçık Erişim2022
    Kyb'de kullanılan cam kumun kyb yük-deplasman ilişkisinin davranışı üzerindeki etkisinin araştırılması

    Etli, Serkan

    Doğada atık olarak bulunan cam, özellikle son yıllarda sıcaklığın artmasıyla birlikte ormanlık alanlarda ve düzenli depolama alanlarında çıkan yangınların sebepleri arasında görünmektedir. Çalışma kapsamında atık sahalarından ve doğal ortamdan toplanan atık soda cam şişeleri öğütüldükten sonra 0.25-0.5 mm arasında eleklerden geçirilerek ayrıştırılmıştır. Bu cam kum ile üretilen kendiliğinden yerleşen beton (KYB), içindeki doğal kum ile değiştirilmiştir. Doğal kum ve cam kumu, hacimce %5 ila %35 arasında %5'lik artışlarla ikame edilmiştir. KYB, yönetmeliklerle ilgili standartları sağladığı taze özellik testleri ile test edilmiştir. Elde edilen karışımlardan 7 ve 28 günlük numunelerde gerilme-şekil değiştirme ilişkileri elde edilmiştir. Elde edilen bu ilişkiler literatürde sıklıkla kullanılan beton modeli ile karşılaştırılarak değerlendirilmiştir. Ortaya çıkan yük-deplasman ilişkilerinin özellikle 7 günlük yaşta iyi bir şekilde seçilen modele yakınsadığı ancak özellikle başlangıç kısmında 28 günlük yaşta kullanılan modelden ayrıldığı görülmüştür.

    • SDG 12 · Sorumlu Üretim ve Tüketim
    AtıfOpenAlex10TR Dizin3
    TR Dizinİncele
  • MakaleAçık Erişim2022
    Recognition of Power Quality Events Using Wavelet Transform, K-Nearest Neighbor Algorithm and Gain Ratio Feature Selection Method

    Akmaz, Düzgün

    Bu çalışmada Güç Kalitesi (GK) bozulumu sinyallerinin sınıflandırılması için bir yöntem uygulanmıştır. Ayrık Dalgacık Dönüşümü (ADD), gürültü içeren GK sinyallerine uygulanarak sinyaller ayrıştırılmıştır. Daha sonra sinyallerin farklı entropi değerleri kullanılarak 80 farklı sınıflandırma özelliği elde edilmiştir.Bu 80 özelliğin hepsinin sınıflandırma için kullanılması yöntemin eğitim/test sürelerinin uzamasına yol açmaktadır. Bu yüzden bütün sınıflandırma özellikleri arasında etkili özelliklerin belirlenmesi gereklidir. Bu çalışmada Kazanç Oranı (KO) özellik seçme yöntemi ve K-En Yakın Komşu Algoritması (K-EYK) ile etkili 10 sınıflandırma özelliği belirlenmiştir.Belirlenen 10 sınıflandırma özelliği ile K-EYK eğitilmiş ve test edilmiştir. Benzetim sonuçları gerçekleştirilen yöntemin sınıflandırma için etkili olduğunu göstermiştir. Aynı zamanda benzetim sonuçları seçilen parametreler için KO ile belirlenen 10 sınıflandırma özelliğinin, 80 sınıflandırma özelliğine göre daha kısa sürede daha yüksek bir sınıflandırma başarısı sağladığını göstermiştir.

    AtıfOpenAlex2TR Dizin2
    TR Dizinİncele
  • MakaleAçık Erişim2022
    Parametric Analysis of the Performance of Steel-Concrete Composite Structures Designed with TBDY 2018

    Etli, Serkan

    In this study, the seismic behavior of steel-concrete composite buildings designed using ÇYTHYE 2016 and TBDY 2018 was investigated. For this purpose, composite moment resisting frame buildings with concrete filled steel tube columns and composite beams with 5, 10, 15 and 20 stories are modeled. Buildings are designed at high ductility (DCH) levels. During the design of the DCH class structures, the design was carried out for the ZA soil class for 0.79 g PGA in the region selected from the earthquake map given in the regulations. Within the scope of the study, SeismoStruct software was used during the design and performance evaluation of the structures. Incremental dynamic analyzes were used along with nonlinear static pushover analyses. In the static pushover analysis, uniform and triangular load distributions of the lateral load are adopted. In the dynamic analysis, 16 earthquake ground motions were obtained from AFAD earthquake acceleration databases according to the relevant design area and used. The variation of the seismic behavior of CMRFs depending on the variation of the floor number was investigated using nonlinear analysis results. Accordingly, the variation in lateral response, overstrength factors and ductility factors for CMRF structures are presented comparatively. In addition, the section deformation capacities were investigated during the IDR changes during dynamic and static nonlinear analyses. The behavior factor of all CMRFs, especially the CMRFs studied in the case study, demonstrated above-expected performance according to the design assumptions.

    • SDG 9 · Sanayi, Yenilikçilik ve Altyapı
    • SDG 11 · Sürdürülebilir Şehirler ve Topluluklar
    AtıfOpenAlex18TR Dizin2
    TR Dizinİncele
  • Derleme MakaleAçık Erişim2020
    Phase change material applications on buildings using whole-building energy simulation tools

    Erdem, Necla Seval; Orhon, Ahmet Vefa

    In this paper, building energy simulation tools that analyze the applicability of phase change materials used in passive air conditioning applications in different building components and in different climatic conditions and studies using these tools will be discussed. Within the scope of the study, the concepts of phase change materials and energy simulation tools will be examined and selected examples based on the scanning model will be examined according to different environmental conditions and application details. The study is a review that emphasizes the need to match the experimental researches conducted in recent years with energy simulation tools.

    • SDG 7 · Erişilebilir ve Temiz Enerji
    • SDG 9 · Sanayi, Yenilikçilik ve Altyapı
    • SDG 11 · Sürdürülebilir Şehirler ve Topluluklar
    • SDG 13 · İklim Eylemi
    AtıfOpenAlex1
    TR Dizinİncele
Tam Kayıt
AlanDeğerDil
creativeworkseries.issn2587-1943
dc.date.accessioned2026-10-28T15:11:10.903304101Z
dc.date.available2026-10-28T15:11:10.903304101Z
dc.identifier.urihttps://rdlopen.rawdatalibrary.net/r/munzur/6006
dc.rightsinfo:eu-repo/semantics/openAccess
dc.titleInternational Journal of Innovative Engineering Applications