Başlık için Mühendislik Fakültesi listeleme
Toplam kayıt 210, listelenen: 22-41
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Characterization of CP-Titanium produced via binder jetting and conventional powder metallurgy
(CSIC-Consejo Superior Investigaciones Cientificas, 2022)Titanium (Ti) and its alloys are among the most commonly used materials in biomedical applications. In addition to being biocompatible, these materials have notable low density and high corrosion resistance and mechanical ... -
Characterization of stress softening and self-healing in a double network hydrogel
(Elsevier, 2019)In this paper, a micro-mechanically based constitutive model is presented to describe stress softening and self-healing in alginate-polyacrylamide (PAAm) double network (DN) hydrogels. The stress softening phenomenon in ... -
Circular intuitionistic fuzzy decision making and its application
(Expert Systems with Applications, 2023)Circular intuitionistic fuzzy set (C-IFS) is introduced by Atanassov in 2020 as an extension of intuitionistic fuzzy sets. It is represented by a circle with a radius (r) of each element consist of degrees of membership ... -
CO2 emission and cost optimization of concrete-filled steel tubular (CFST) columns using metaheuristic algorithms
(MDPI, 2021)Concrete-filled steel tubular columns have garnered wide interest among researchers due to their favorable structural characteristics. To attain the best possible performance from concrete-filled steel tubular columns while ... -
Code-index modulation aided quadrature spatial modulation for high-rate MIMO systems
(Ieee-Inst Electrical Electronics Engineers Inc, 2019)In this correspondence paper, a novel code-index modulation (CIM) aided quadrature spatial modulation (QSM) scheme, called CIM-QSM, is proposed for highly spectrum and energy efficient multiple-input multiple-output (MIMO) ... -
Comparison of deep drawability of AA5754-H22 and AA6061-T6 aluminum alloys for automotive applications
(Carl Hanser Verlag, 2017)Being one of the most commonly applied sheet metal forming processes in automotive industry, deep drawing technologies are challenged by the concerns of global warming for higher fuel economy requirements in the recent ... -
Comparison of one dimensional dynamic analysis and microtremor measurement results
(Turkish Chamber Civil Engineers, 2019)The deformation level of the surface soil layer due to strong ground motion has a considerable effect in soil-structure interaction problems. The shear strain values of the near surface soil deposits which are calculated ... -
Comprehensive group pile settlement formula based on 3D finite element analyses
(Japanese Geotechnical Soc, 2018)In the past, formulas for the settlement of group piles considered only a few input parameters and offered only a limited approximation of the actual settlement. Nowadays, however, thanks to the fast-growing performance ... -
A Compressor model to determine cooling cycle efficiencies and performances without or with internal heat exchanger for specific refrigerant
(2023)Today, the importance of refrigeration has increased due to the shortage of food, food storage, health, and industrial cooling. Global warming is the most important environmental problem that the world has faced recently. ... -
Connecting measurements of solar and stellar brightness variations
(Edp Sciences S A, 2020)Context. A comparison of solar and stellar brightness variations is hampered by the difference in spectral passbands that are used in observations, and also by the possible difference in the inclination of the solar and ... -
A constitutive model for hysteresis: the continuum damage approach for filled rubber-like materials
(Springer, 2020)In this contribution, a constitutive model is proposed for filled rubber-like materials to describe hysteresis. The model is based on the network decomposition concept. Rubber matrix is decomposed into purely elastic and ... -
Continuous monitoring of hemorrhagic brain strokes via contrast source inversion
(Institute of Electrical and Electronics Engineers Inc., 2017)We consider the differential microwave imaging for continuous monitoring of hemorrhagic brain strokes where our aim is to determine the change of bleeding in sequential time frames. The scattered electromagnetic field is ... -
Cooling performance prediction of a metal foam internal heat exchanger: An artificial neural network approach
(2023)Although HFC refrigerants have high global warming potential (GWP) values, they are preferred due to their satisfactory cooling performance and A1 fire protection classification. If possible, alternatives of HFC-type ... -
Cooperative quadrature spatial modulation with Euclidean distance and capacity optimized antenna selection
(Wiley, 2021)In this study, new cooperative-quadrature spatial modulation techniques based on Euclidean distance and capacity optimized antenna selection techniques (EDAS-CQSM and COAS-CQSM) are proposed for cooperative communication ... -
Core-shell PVA/gelatin nanofibrous scaffolds using co-solvent, aqueous electrospinning: toward a green approach
(Wiley, 2018)Electrospinning (ES) of gelatin often requires cytotoxic organic solvents or acidic environments, which deteriorate cell recognition sites. In this study, aqueous, non-toxic, co-solvent ES was performed to obtain core-shell ... -
Cutting performance improvement of MTCVD coated cemented carbide inserts via appropriate heat treatment
(Elsevier, 2020)The softening of cemented carbide at the elevated temperature of MTCVD processes results in significant reduction of their strength, and thus, high coating deformation during cutting. In this way, at interrupted cutting ... -
Cylindrical neutrosophic fuzzy heuristic approach to locate mobile pandemic test labs
(IEEE, 2021)Since 2020, the world is facing a pandemic. In order to cope with the epidemic, the acceleration of the diagnosis process is important for treatment. However, in order to minimize contact with other patients, test centers ... -
Data-driven ensemble learning approach for optimal design of cantilever soldier pile retaining walls
(Elsevier, 2023)Cantilever soldier pile retaining walls are used to ensure the stability of excavations. This paper deploys ensemble machine learning algorithms towards achieving optimum design of these structures. A large dataset was ... -
Data-driven interpretable ensemble learning methods for the prediction of wind turbine power incorporating SHAP analysis
(Elsevier, 2023)Wind energy increasingly attracts investment from many countries as a clean and renewable energy source. Since wind energy investment cost is high, the efficiency of a potential wind power plant should be determined ... -
Design alternatives for internationally distributed learning factories in global production engineering
(Elsevier B.V., 2020)An internationally distributed learning factory (IDLF) provides opportunities to make students aware of intercultural challenges in global production networks. An IDLF is a scalable network of learning factories with value ...
