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Dynamics of Axisymmetric Drops Impacting onto Heterogeneous Surfaces

Atalay SEÇER

The way a droplet behaves when it lands on a surface depends on the characteristics of the surface and the flow conditions of the droplet. It can deposit, rebound, splash, etc. There is delimited research on how surface roughness and chemical composition affect the deformation of droplets upon impact, in comparison to the studies done on smooth surfaces. Our model uses two-phase flow to simulate the axisymmetric motion of droplets over surfaces with heterogeneities by combining the Navier-Stokes equations for motion with the Cahn-Hilliard equation for tracking the phase-field. We integrate the ...Daha fazlası

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Controlling the Motion of Capillary Driven Interfaces in Channels with Chemical Heterogeneity

Mehmet Alptuğ Boylu

The use of self-driven fluids (e.g., droplets, capillary flows) attracts many researchers as the external driving mechanisms are diminished or eliminated. The contact angle hysteresis generates a driving force (a pressure difference across interfaces). This pressure depends on the interaction with the solid substrates and is controlled if one varies the surface energy of the walls. Self-transport and manipulation of interfaces play an important role in the development of microfluidic devices, self-cleaning, water harvesting and heat transfer enhancement. In this study, we search for the effect ...Daha fazlası

Süreli Ambargo

Electrochemical Detection of Dopamine Using a Simple Redox Cycling-Based Device

İpek AVCI

In order to understand brain function, diagnose disorders and develop precise treatments, the detection of dopamine using electrochemical devices is important. The detection of dopamine using electrochemical devices continues to be investigated, as evidenced by studies in the literature in recent years. This is because it helps to unravel the complexity of brain function, facilitate the diagnosis of neurological disorders and enable the development of precise treatments. These devices are important in neuroscience and medicine.

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Performance Study of Darrieus Turbine Using Numerical Simulation

Abdelrahman ABUALEENEIN

In this study, CFD abilities to handle Darrieus turbine simulation were assessed and validated in light of related experimental and numerical studies. Simulation methodology is based on two-dimensional modeling of a double NACA 0018 bladed, straight blade Darrieus turbine. Modeling approach, meshing procedure, and solution parameters are mentioned and discussed in details. ANSYS fluent 18.2 is used to carry out all simulations. Experimental test’s data from literature [11] are implemented in context of results verification, also, Courant number and y plus analyses were provided. Due to the sim ...Daha fazlası

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Finite Element Analysis-Based Pre-operative Planning Applications of Tooth, Tibia, and Femur Bones

Samet Çıklaçandır

Ameliyat öncesi planlama veya eğitimde, zorlu cerrahi operasyonları kolaylaştırmak için 3D modelleme ve kişiye özgü kemik modeli kullanılabilir. Bu prosedür, 3D baskı ve simülasyonların gelişmesi nedeniyle daha etkili ve uygulanabilir hale geldi. Bunun yanında, sonlu elemanlar analizi (SEA) mekanik analiz sonuçlarına yakınsayarak kemik modellerinin ve çeşitli tıbbi ekipmanların oluşturulmasını daha hızlı ve daha güvenilir hale getirebilir. Fakat, simülasyonların ve mekanik testlerin modeller üzerindeki etkisi hala tartışmalıdır. Bu sebeple bu çalışmada femur başı ve medial malleol olmak üzere ...Daha fazlası

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A Suggestion for the Prevention of Tax Loss Due to Low Value Declaration in Real Estate Sales Transactions: Auction Sales Method

Sanem Çakır

The financing source used in the provision of public services is derived from collected public revenues. The regular and calculated collection of these revenues is highly significant for the state treasury.

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Natural Language Processing and Machine Learning-Based Medical Decision Support Application Concept Design for Gastroesophageal Reflux Disease

Tevfik Aşgın

This text discusses a project for a concept design that aims to help doctors better diagnose and treat Gastroesophageal Reflux Disease (GERD) using the latest methods in artificial intelligence (AI), specifically LangChain and ChatGPT-4 from OpenAI. The project includes creating a system for GERD, using AI to work with medical data, testing the system with some patient cases, and seeing how well it helps in treating GERD. The project seeks to explore the feasibility of implementing a system that enhances the diagnosis and treatment through the application. 50 cases were generated for evaluatio ...Daha fazlası

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Surface Roughness Performance Related to the Direction in Composite Structures Produced by the Fused Filament Fabrication Method and Improve to Surface Roughness

Özlem DOĞRU

Additive manufacturing is used today in different industries to produce prototypes and even final products. Additive manufacturing offers solutions for the fabrication of complex geometries and is preferred for manufacturing parts in a wide variety of applications. The fused filament fabrication (FFF) method is the additive manufacturing method with the most users worldwide. With the developing material science, it has been possible to produce composite structures and even metal products by going beyond the production of pure polymers in the FFF method. The mechanical properties of the materia ...Daha fazlası

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Characterization of Clay brick materials produced with red mud and nut shell wastes for building applications

Çam, Ata Sadık

In this study, clay based brick with micro pores was developed for thermal insulation in the building materials. Turkey produces about 70% of the world hazelnut production. The aim of this thesis is to reduce the thermal conductivity coefficient by adding organic waste (hazelnut shell) into clay mixture to form porosity during firing of clay bricks. Moreover, it is to maintain the similar mechanical properties by adding inorganic waste (red mud) into clay mixture. The development of a highly porous bricks with applicable mechanical strength will contribute to save energy in the building ...Daha fazlası

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Artificial Intelligent Based Segmentation on Medical Imaging

Mahmut AĞRALI

Teknolojinin ve teorik bilginin gelişmesiyle son 20 yıldır günlük hayatımızın her alanında olduğu gibi sağlık alanında da yapay zekâ (YZ)'nın uygulanması giderek artmaktadır. Özellikle koronavirüs (COVID-19) ve iskemik inme gibi toplum sağlığını tehdit eden hastalıkların YZ ile tespit edilmesi sağlık çalışanların iş yüklerini hafifleterek daha doğru tanı sağlamaktadır. Bu hastalıkların tespit edilmesinin yanında medikal görüntü üzerinden hastalık bölgelerinin bölütlenmesi, sağlık çalışanlarına tedavide yardımcı olabilecek bilgi sağlamaktadır. Bununla birlikte medikal görüntü üzerinden b ...Daha fazlası

Erişime Açık

Effect of Coating Material on High Temperature Oxidation of Inconel 738LC Superalloy

Simge AVCI

Inconel 738LC alaşımı nikel bazlı bir süperalaşımdır ve genellikle gaz türbinlerinde, türbin nozullerinde ve türbin bıçaklarında kullanılmaktadır. Gaz türbin motoru bileşenlerinde kullanımı yaygın olan Inconel 738LC çalışma ortam koşulları sebebi ile yüksek sıcaklık ile birlikte yüksek korozyona da maruz kalmaktadır. Bu sebeple, bu malzemenin yüksek sıcaklık mukavemet değeri ve yüksek sıcaklık oksidasyon direnci büyük önem taşımaktadır. Bu çalışmada karbon elementinin Inconel 738 alaşımında mekanik ve mikroyapısal etkileri incelenmiştir. Oda sıcaklığında ve iki farklı yüksek sıcaklıktak ...Daha fazlası

6698 sayılı Kişisel Verilerin Korunması Kanunu kapsamında yükümlülüklerimiz ve çerez politikamız hakkında bilgi sahibi olmak için alttaki bağlantıyı kullanabilirsiniz.

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