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MakaleYayıncıda açık erişim2023Scopus SJRQ1/r/munzur/2453
Evaluation of the effect of silica fume on the fresh, mechanical and durability properties of self-compacting concrete produced by using waste rubber as fine aggregate
Etli, Serkan
The supply of sand, which is obtained by disposing of natural resources for the purpose of concrete production and in accordance with production standards, is increasing rapidly and therefore its amount is rapidly depleted. A study is presented that aims to reduce the aggregate content by using this waste tire aggregate (WTA) in the construction industry, and thus, a sustainable production and conservation of nature is the basis. The water/binder ratio used in the study is kept constant as 0.39 and the binder dosage as 550 kg/m3. WTA and SF are replaced with sand and cement at the ratios of 5%, 10% and 15% by volume, and 5% and %15 b y weight, respectively. The fresh (slump flow, V-funnel, and L-box) and hardened (axial compression, splitting tensile strength, flexural tensile strength, diagonal tensile strength, and modulus of elasticity, chlorine penetration and sorptivity) properties of self-compacting concrete (SCC) mixtures produced in this way are evaluated. For the mechanical and durability tests, a total of approximately 500 SCC (100 × 100 × 500 mm: prism, 100 × 100 × 100 mm: cube and 100 × 200 mm: cylindrical) samples are produced. The mechanical experiments of SCC were carried out at 28-, 56- and 90-days age. The test results have shown that WTA substitute concrete, which can be used in terms of civil engineering in terms of all these features, has shown that it has sufficient performance.
AtıfScopus51WoS43OpenAlex55
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MakaleYalnız künye2023Scopus SJRQ1/r/munzur/2278
Laboratory evaluation of oak ash waste for use in hot mix asphalt modification
Geçkil, Tacettin; Beyza İnce, Ceren; Aksağan, Zülfükar
In this study, the effect of Oak Ash (OA), a biomass waste, on the mechanical properties of hot mix asphalt (HMA) was investigated and its usability in road engineering was evaluated. For this purpose, firstly, various physical and chemical properties of B70/100 penetration class pure asphalt, OA and crushed limestone aggregate were determined. Then, the optimum asphalt content (OAC) of the mixture was determined according to the Marshall mix design method using aggregate and pure asphalt. Based on this determined content, pure and OA added (1%, 2%, 4% and 6% by weight of asphalt) modified hot mix specimens were prepared. Pure and OA added modified mixture specimens were subjected to Marshall stability, indirect tensile strength (ITS), moisture damage, indirect tensile stiffness modulus (ITSM), static-dynamic creep and calorie tests. According to the results obtained, it has been determined that the OA additive has an improving effect on all mechanical properties of the mixtures, especially on the permanent deformation resistance at high temperatures. It is considered that the use of this additive at a rate of 2% in the hot mixture can increase the resistance of the pavement against deterioration and reduce the maintenance and repair costs of the road.
AtıfScopus26WoS25OpenAlex24
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MakaleAçık Erişim2023Scopus SJRQ1/r/munzur/2232
Numerical analysis of heat transfer and fluid flow in microchannel heat sinks for thermal management
Singupuram, Raghav; Alam, Tabish; Ali, Masood Ashraf; Shaik, Saboor; Gupta, Naveen Kumar; Akkurt, Nevzat; Kumar, Mukesh; Eldin, Sayed M.; Dobrotă, Dan
Electronic components used in a variety of applications, such as electronic devices, computers, automobiles, medical equipment, telecommunications, etc., can be effectively cooled using microchannel heat sinks (MHS). In this paper, a novel design of an MHS is presented, which can manage the heat load (dissipate the excess heat) and maintain the temperature of the MHS in the safe range. The passage of the MHS was modified with circular extruding ribs on the side wall of the passage. This technique in MHS was inspired by the study of heat transfer enhancement in heat exchangers. The effects of the sector angle of the circular protruding ribs ranging from 45° to 80° were studied in laminar flow (Re = 100–900). It was found that the maximum Nusselt number in the range of 7.26–64.11 was observed at sector angles of circular protrusion ribs of 80°. Also, the values of thermohydraulic performance parameter (THPP) are greater than one, which shows that the application of the proposed design for thermal management of MHS is reasonable and effective.
AtıfScopus41OpenAlex43
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MakaleAçık Erişim2023Scopus SJRQ1/r/munzur/2222
Body appreciation around the world: Measurement invariance of the Body Appreciation Scale-2 (BAS-2) across 65 nations, 40 languages, gender identities, and age
Swami, Viren; Tran, Ulrich S.; Stieger, Stefan; Aavik, Toivo; Ranjbar, Hamed Abdollahpour; Adebayo, Sulaiman Olanrewaju; Afhami, Reza; Ahmed, Oli; Aimé, Annie; Akel, Marwan
The Body Appreciation Scale-2 (BAS-2) is a widely used measure of a core facet of the positive body image construct. However, extant research concerning measurement invariance of the BAS-2 across a large number of nations remains limited. Here, we utilised the Body Image in Nature (BINS) dataset – with data collected between 2020 and 2022 – to assess measurement invariance of the BAS-2 across 65 nations, 40 languages, gender identities, and age groups. Multi-group confirmatory factor analysis indicated that full scalar invariance was upheld across all nations, languages, gender identities, and age groups, suggesting that the unidimensional BAS-2 model has widespread applicability. There were large differences across nations and languages in latent body appreciation, while differences across gender identities and age groups were negligible-to-small. Additionally, greater body appreciation was significantly associated with higher life satisfaction, being single (versus being married or in a committed relationship), and greater rurality (versus urbanicity). Across a subset of nations where nation-level data were available, greater body appreciation was also significantly associated with greater cultural distance from the United States and greater relative income inequality. These findings suggest that the BAS-2 likely captures a near-universal conceptualisation of the body appreciation construct, which should facilitate further cross-cultural research.
AtıfScopus108OpenAlex109
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MakaleYalnız künye2023Scopus SJRQ1/r/munzur/2209
A holistic failure modes and effects analysis for university plastic injection laboratory under Bayesian Network
Yucesan, Melih; Gul, Muhammet; Pamučar, Dragan
University Research & Development (R&D) laboratories are facilities used for research and manufacturing activities in engineering and basic science fields. Various filling materials are used in plastic R&D laboratories to improve the mechanical properties of thermoplastics or to recycle waste materials. The use of filling materials causes changes in plastic production parameters. This study dealt with the risks arising from extrusion, injection and shredder in a plastic injection laboratory, which led to the inability to manufacture the appropriate product under a holistic methodology. The proposed holistic methodology merges the concepts of failure mode and effects analysis (FMEA), fuzzy best-worst method (FBWM), and a rule-based three-hierarchical Bayesian network (RB-THBN). First, 15 root risks have been identified under a three-stage hierarchy with the support of laboratory decision makers. Then, questionnaires were created using the FMEA concept. The importance values (degree of belief-DoB) of three different FMEA parameters (severity, occurrence and detection) by experts for each risk have been calculated with FBWM. And finally, the RB-THBN has been created, and the final risk values have been computed using the linear utility function for the network. The system has been analyzed via a Bayesian modeling software. A validity test and a control measures planning has also been executed. According to the results, the highest root risk has been determined as “E2-The prepared mixture is not homogeneous” with a crisp risk score of 0.639559. In addition, “Failure due to extrusion” has been determined as the highest risk category with a score of 0.564059. It was discussed in detail that these risks arise from homogenization and how the used mixture should be homogenized. A comparative study among traditional FMEA, FMEA extended under FBWM and the proposed approach is performed to observe the differences in final ranking of root risks and to highlight the arguments that strengthen the advantages of the proposed method over the other two.
AtıfScopus7WoS7OpenAlex8
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MakaleYalnız künye2023Scopus SJRQ1/r/munzur/2177
Evaluation of container port sustainability using WASPAS technique using on type-2 neutrosophic fuzzy numbers
Kaya, Sema Kayapinar; Kundu, Pradip; Görçün, Ömer Faruk
According to the common opinion in the literature, the sustainability of container ports is a tremendously complex topic owing to the maritime sector's excessively dynamic form and many highly complex, predictable and unpredictable uncertainties in this industry. The current paper proposes two powerful, practical, inspiring approaches to fill these gaps. It proposes a novel type-2 neutrosophic fuzzy numbers (T2NFNs) based Delphi method to determine the criteria logically and optimal and extends the WASPAS technique based on the T2NFNs for evaluating the alternatives. The current paper presents practical managerial implications that many stakeholders can consider, such as port authorities, ship owners, logistics service providers, governments, and local authorities, when making strategic and managerial decisions. In addition, the results of a comprehensive sensitivity analysis performed to test the robustness and applicability of the model approve the validity of the proposed T2NFN-based integrated approach.
AtıfScopus20WoS16OpenAlex24
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MakaleYalnız künye2023Scopus SJRQ1/r/munzur/2155
Analysis of the mechanical characteristics and plasticity-hazardous zones development of natural gas pipeline under overload
Zheng, Qiang; Shu, Zekai; Yang, Gang; Zhang, Hui; AKKURT, Nevzat; Guan, Ben; Chen, Weiwang; Xu, Qian; Zang, Yong; Ding, Yulong
The problem of natural gas pipeline overload failure is of great significance, and the development law of critical mechanical properties of pipelines is of great importance to the safety design of natural gas pipelines. This study establishes a three-dimensional finite element computational model of the pipeline that integrates the changes in axial and circumferential mechanical characteristics, and uses the yield strength, safety factor and ellipticity indexes as criteria to dimensionless the axial depth and circumferential angle of the plastic zone to explore the characteristics of the plastic damage stage of the pipeline. By solving the plastic hazardous zones based on the safety factor, the applicability of the dimensionless parameters is extended to investigate the development laws of the hazardous zones and the correlation mechanism between failure criteria and hazardous zones. The results show that as the ground load increases, the pipeline deformation gradually develops into the plastic stage (P = 16 MPa) and then goes through three deformation stages. With the increase of safety factor, the change trend of the proportion of stage I in the whole loading process decreases to 4 %, the change trend of the proportion of stage III increases significantly to 52 %, while the proportion of stage II shows a change trend of decreasing and then increasing, the proportion of this stage ranges from 30 % to 38 %. Based on the law of variation of axial ellipticity of pipeline section, a high-risk section of pipeline was identified in the range of 0–2 m from the point of maximum local compression strain. The results of the study can serve as a basis for accurate evaluation of the safety status of natural gas pipelines under overload.
AtıfScopus3WoS3OpenAlex3
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MakaleYalnız künye2023Scopus SJRQ1/r/munzur/2146
A data-driven evaluating method on the defrosting effect of the air source heat pump system in Beijing
Guo, Yanhua; Shao, Shuangquan; Geng, Xudong; Li, Hao; Wang, Zhichao; Akkurt, Nevzat
The current demand-based defrosting initiation strategies of air source heat pumps (ASHPs) faces difficulty in achieving a balance between cost and robustness. Therefore, an efficient and innovative demand-based defrosting initiation strategy is proposed in this paper, based on the learned the degradation of heating capacity (DHC) method using data-driven model. Firstly, the DHC method is developed using the initially installed sensors without additional sensors to identify the frosty state. Subsequently, the fully connected neural network (FNN) model is established for predicting frosty state using field measured data from the ASHP system. Finally, the effectiveness of the defrosting initiation strategy is further validated through practical testing. The results demonstrate that the DHC method provides a reliable database for training the FNN model, resulting in an impressive accuracy of 91.43% for predicting the frosty state in the testing set. By adopting the innovative demand-based defrosting initiation strategies, the defrosting frequency, heating loss, and power consumption are respectively decreased by 66.3%, 2.1%, and 6.0% with the SCOP enhanced by 8.6% during a heating season. The promising results highlight that the proposed strategy effectively reduces costs while ensuring the efficiency of demand-based control.
AtıfScopus23WoS22OpenAlex27
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MakaleAçık Erişim2023Scopus SJRQ1/r/munzur/2078
Numerical study for battery thermal management system improvement with air channel in electric vehicles
Tuğan, Volkan; Yardımcı, Uğurcan
In order to ensure the safe and efficient operation of the battery system in electric vehicles, the heat generated in the batteries must be rapidly removed from the system. Therefore, a battery thermal management system is needed to ensure that the battery pack operates at appropriate temperatures. This study focuses on improving the battery thermal management system in electric vehicles. For this purpose, two different types of battery modules with new air channel design were created. The temperature distribution, maximum temperature difference and pressure drop in the battery modules were numerically investigated with computational fluid dynamics. In addition, the effect of three different air velocities (1 m/s, 2 m/s and 3 m/s) on the battery temperature was evaluated. The results showed that the maximum temperature and maximum temperature difference in the battery decreased with the increase of the air inlet velocity. It was observed that the maximum temperature difference obtained for design 2 and design 3 decreased in the range of 15.01–17.93 % and 7.25–12.22 %, respectively, compared to Design 1.
AtıfScopus34WoS35
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MakaleAçık Erişim2023Scopus SJRQ1/r/munzur/2009
FeCoNiMnCr high-entropy alloys (HEAs): Synthesis, structural, magnetic and nuclear radiation absorption properties
Şimşek, Telem; Kavaz, Esra; Güler, Ömer; Şimşek, Tuncay; Avar, Barış; Aslan, Naim; Almisned, Ghada; Zakaly, Hesham M.H.; Tekin, H.O.
We report the synthesis and structural, magnetic and Radiation shielding properties of High Entropy Alloy (HEA) produced through mechanical alloying method. Using an X-Ray Diffractometer (PanalyticalEmpryan) with CuK radiation at 45 kV and 40 mA, the phase identification starting elements and as-milled powders are identified. Scanning electron microscopy (SEM) equipped with energy dispersive X-ray spectroscopy (EDX), morphological and microstructural investigations were conducted (FEI Quanta FEG 450). EDX and elemental mapping analyses are conducted to assess the purity and elemental distributions of the synthesized alloys. Using the Quantum Design Physical Characteristics Measurement System (PPMS) with vibrating sample magnetometer (VSM) and a magnetic field of 30 kOe at room temperature, magnetic properties are examined. Using 137Cs radioisotope and mathematical methods, gamma-ray and neutron shielding properties of HEA are investigated in a conventional transmission setup using experimental and theoretical approaches. In the presence of a 3 T applied field, the sample exhibits a low magnetization of 5.30 emu/g at 300 K. Moreover, Ms is raised to 22 emu/g at 10 K owing to decreased thermal effects. The temperature dependence of the magnetization is recorded in the presence of a 1 T applied field. HEA exhibits superior neutron attenuation properties than conventional absorption materials such as B4C, graphite, and water. Our results showed that the synthesized HEA has superiority over other alloys and conventional neutron absorption materials. It can be concluded that the proposed novel HEA might be investigated further in terms of broadening its characterization and clarifying its other crucial properties to extend the scope of the current investigation.
AtıfScopus42OpenAlex47
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MakaleAçık Erişim2023Scopus SJRQ1/r/munzur/1960
A study on the combustion performance and NOx emissions characteristics of a novel U-type radiant tube based on MILD combustion theory
Fan, Huanbao; Feng, Junxiao; Bai, Wei; Wang, Hui; Akkurt, Nevzat; Li, Weidong; Gao, Jun; AliAkbaria, Omid; Xu, Qian
Based on the theory of moderate or intense low-oxygen dilution (MILD) combustion, a 3D steady-state CFD model coupling dual flue gas recirculation and dispersion combustion was developed to describe the flow field, combustion temperature field, wall temperature distribution, and NOx concentration field during the operation of a novel U-type radiant tube (N-URT). A user-defined function (UDF) method was implemented to simulate the dilution of O2 concentration in the combustion air due to external flue gas recirculation (E-FGR). The effects of the E-FGR ratio on combustion characteristics and NOx emission were evaluated. The simulated results were consistent with experimental results. The simulated NOx concentration at the outlet was reduced to 105.5 mg/m3 at 8% O2, which was about 35.2% lower than the conventional combustion method. The study found that when the E-FGR ratio was increased from 0 to 25%, the standard deviation of wall temperature decreased from 30.3 °C to 23.3 °C, and the non-uniformity coefficient decreased from 0.2598 to 0.2183, indicating an improvement in temperature uniformity. However, the thermal efficiency decreased from 82.1% to 76.2%. Moreover, at higher E-FGR ratios, the volume of the high-temperature region (above 1500 ℃) gradually decreased, and both the maximum flame temperature and the outlet NOx concentration decreased sharply. Regression equations for the E-FGR ratio (β) on the maximum combustion temperature (Tmax) and the outlet NOx concentration (CNOx) were obtained, and an E-FGR ratio greater than 13.4% was recommended to meet the emission requirements.
AtıfScopus14OpenAlex14
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MakaleAçık Erişim2023Scopus SJRQ1/r/munzur/1959
Deep learning based hybrid prediction model for predicting the spread of COVID-19 in the world's most populous countries
Utku, Anil
COVID-19 has a disease and health phenomenon and has sociological and economic adverse effects. Accurate prediction of the spread of the epidemic will help in the planning of health management and the development of economic and sociological action plans. In the literature, there are many studies to analyse and predict the spread of COVID-19 in cities and countries. However, there is no study to predict and analyse the cross-country spread in the world's most populous countries. In this study, it was aimed to predict the spread of the COVID-19 epidemic. The motivation of this study is to reduce the workload of health workers, take preventive measures and optimize health processes by predicting the spread of the COVID-19 epidemic. A hybrid deep learning model was developed to predict and analyse COVID-19 cross-country spread and a case study was carried out for the world's most populous countries. The developed model was tested extensively using RMSE, MAE and R2. The experimental results showed that the developed model was more successful in predicting and analysis of COVID-19 cross-country spread in the world's most populous countries than LR, RF, SVM, MLP, CNN, GRU, LSTM and base CNN-GRU. In the developed model, CNN performs convolution and pooling operations to extract spatial features from the input data. GRU provides learning of long-term and non-linear relationships inferred by CNN. The developed hybrid model was more successful than the other models compared, as it enabled the effective features of the CNN and GRU models to be used together. The prediction and analysis of the cross-country spread of COVID-19 in the world's most populated countries can be presented as a novelty of this study.
AtıfScopus23WoS20OpenAlex31
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MakaleYalnız künye2023Scopus SJRQ1/r/munzur/1892
Oxides dispersion-strengthened (ODS) FeCoNiCuZn high entropy alloys through different rare earth elements: Synthesis, structural, physical, and experimental radiation transmission properties
Güler, Ömer; Kavaz, E.; Güler, Seval Hale; Almisned, Ghada; Özkul, İskender; Basgoz, Oykum; Tekin, H.O.
The oxide dispersoids within ODS alloys can act as sinks for radiation-induced defects, such as vacancies and dislocation loops, effectively reducing their mobility and preventing their accumulation. This property is crucial for HEAs employed in radiation-intensive environments, such as nuclear reactors. The objective of this research is to examine the impact of rare earth elements (REE) such as Y2O3, Er2O3, Pr2O3, and Sm2O3, on Oxides Dispersion-Strengthened (ODS) FeCoNiCuZn High Entropy Alloys (HEAs). The mechanical alloying technique is employed to produce a high entropy alloy consisting of Fe, Co, Ni, Cu, and Zn in their raw form. Subsequently, the raw alloy powder is enriched with separate amounts of Y2O3, Er2O3, Pr2O3, and Sm2O3. The microstructural analysis of the samples obtained from the mechanical alloying process was performed utilizing the X-ray diffraction (XRD) technique. In addition, scanning electron microscopy (SEM) was employed to analyze the ODS-HEA samples encoded S1, S2, S3, S4, and S5. To investigate the transmission properties of gamma-ray and neutron radiation, experimental studies are carried out using two types of detectors: Ultra High Purity Germanium (HPGe) detector and Canberra NP-100B BF3 gas proportional detector, respectively. The X-ray diffraction (XRD) spectra of samples did not display any observable peaks that could be attributed to the presence of dispersed rare earth element (REE) oxides. The uniform distribution of the metallic constituents that make up the High Entropy Alloy (HEA) is observed in the samples. Additionally, it can be observed that the implementation of the ODS-HEA technique, incorporating a 3% (wt.) Er2O3 additive, results in the most advantageous results with respect to the characteristics of gamma ray absorption. The S3 sample demonstrated the greatest degree of neutron absorption, as demonstrated by a recorded value of 0.857 μSv/h, where the S1 sample demonstrated the minimum level of absorption, as evidenced by a recorded value of 0.452 μSv/h. Based on the observed effects on neutron and gamma-ray attenuation behaviors in ODS-HEAs, it can be concluded that Er2O3 exhibits characteristics of a monotonic oxide. This feature is particularly advantageous for applications that necessitate a dual enhancement in these behaviors. It can also be concluded that the S1 sample may be deemed appropriate for situations where the utmost consistency of chain reactions in nuclear reactor fuel rods is desired, due to its possession of the lowest neutron absorption properties.
AtıfScopus22OpenAlex26
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MakaleAçık Erişim2023Scopus SJRQ1/r/munzur/1847
A comparative framework for criticality assessment of strategic raw materials in Turkey
Göçmen Polat, Elifcan; Yücesan, Melih; Gül, Muhammet
The rapid development of innovative technologies, population growth, shifting resource management patterns, and decarbonization challenges are expected to increase the demand for raw materials labeled as critical in the following years. The increasing concerns have led to evaluate the critical raw materials (CRMs) with high economic importance and supply risk. In this context, this paper aims to develop a conceptual methodology to identify CRMs in Turkey. The methodology integrates a multi-criteria decision-making method (MCDM) to provide the raw material criticality matrix regarding various criteria, the EU (European Union) method, which represents supply risk and economic importance indicators, and the time series analysis method, in which dynamic evaluation of materials over time instead of the static indicators. We first provide a Bayesian Best-Worst method (B-BWM) and TOPSIS (Technique for Order Preference by Similarity to Ideal Solution) based model for the criticality matrix, which enables evaluations of participated experts to be combined to reveal the weights of the criteria and sub-criteria from a probabilistic point of view without loss of knowledge. The main and sub-criteria include supply risk and economic importance, which are frequently studied in the literature, but also environment, price, secondary production, and socio-economic indicators are evaluated in the criticality matrix. Then, exponential smoothing forecast, one of the Time Series Analysis models, which determine the element criticality in the perspective of future years with the data of import figures of Turkey, is superior to the other models. Finally, with some modifications, the EU criticality methodology is used to quantify the raw materials regarding each material associated with the sector applications and their value-added and supply disruptions. Thus, a comprehensive criticality list integrating the results of the three mentioned methods is important because Turkey's raw materials characterize many sectors. The findings should also interest practitioners and researchers as the detailed assessment of raw material criticality ensures a sufficient database for future studies.
AtıfScopus24WoS14
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MakaleAçık Erişim2023Scopus SJRQ2/r/munzur/1834
Investigation on application of plate-tube evaporative condensating technology for data centres in the northwest of China
Wu, Xueyuan; Shao, Shuangquan; Akkurt, Nevzat
The rapid development of data center leads to a rapid increase in energy consumption. In this paper, the plate and tube evaporative condenser is proposed for the water-cooled chiller and the data center cooling system to improve the energy efficiency in hot and dry summer and avoid icing in cold winter. The chiller can operate in the wet mode for compressor refrigeration and the dry mode for free cooling with the coefficient of performance (COP) of 5.2 in wet mode and up to 33.3 in dry mode. Furthermore, the system is applied in a data center in Ulumiqi, which is located in the dry and cold region and its ambient air temperature can vary from −32 °C to 45 °C throughout the year. The actual operation results show that the power usage effectiveness (PUE) value of the whole data centre is 1.349 in June, 1.229 in December, and 1.320 as the annual average, which is stable and efficient for five consecutive years. These results ensure the proposed system is an important technical solution for energy saving and emission reduction in data centres in cold regions.
AtıfScopus9WoS5OpenAlex8
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DüzeltmeYalnız künye2023Scopus SJRQ1/r/munzur/1797
Corrigendum to “A study on the combustion performance and NOx emissions characteristics of a novel U-type radiant tube based on MILD combustion theory” [Fuel 346 (2023) 128321] (Fuel (2023) 346, (S0016236123009341), (10.1016/j.fuel.2023.128321))
Fan, Huanbao; Feng, Junxiao; Bai, Wei; Wang, Hui; Akkurt, Nevzat; Li, Weidong; Gao, Jun; AliAkbaria, Omid; Xu, Qian
The authors regret to inform that Table 1 in the final (citable) version of our article [Fuel 346 (2023) 128321] published in Fuel has a serious error; some key data in Table 1 (page 4, Section 2.2) corresponded incorrectly to variables. This was mainly due to our carelessness and was not caught in time while reviewing proofs for our publications. The correction is necessary to improve the academic accuracy of the article and for ease of reference for the readers. We are therefore publishing this correction. Specifically, the pre-exponential factor Ar and activation energy Ea of 2CO + O2 → 2CO2 should be 2.239 × 1012 1/s and 1.7 × 108 J/kg·mol, respectively. The pre-exponential factor Ar and activation energy Ea of 2H2 + O2 → 2H2O should be 9.87 × 108 1/s and 3.1 × 107 J/kg·mol, respectively. Thank you for your understanding and the previous efforts of all the reviewers and editors. Reference [1] Huanbao Fan, Junxiao Feng, Wei Bai, Hui Wang, Nevzat Akkurt, Weidong Li, Jun Gao, Omid AliAkbaria, Qian Xu, A study on the combustion performance and NOx emissions characteristics of a novel U-type radiant tube based on MILD combustion theory, Fuel 346 (2023) 128321. DOI: https://doi.org/10.1016/j.fuel.2023.128321. The correct version of Table 1 is as follows: The authors would like to apologise for any inconvenience caused.
İncele
MakaleYalnız künye2023Scopus SJRQ1/r/munzur/1772
Sustainability performance analysis of micro-mobility solutions in urban transportation with a novel IVFNN-Delphi-LOPCOW-CoCoSo framework
Ecer, Fatih; Küçükönder, Hande; Kayapınar Kaya, Sema; Faruk Görçün, Ömer
Almost all megacities worldwide are under pressure from environmental pollution and excessive resource usage due to rapid urbanization and increasing urban population. Within this scope, micro-mobility solutions (MMSs), an extension to the primary urban transportation network, have become even more critical recently. However, when we executed a preliminary investigation concerning MMSs' sustainability, we noted some critical theoretical and managerial gaps: (1) the number of studies assessing MMSs using decision-making approaches is excessively scarce, (2) no paper in the literature deals with the MMSs' sustainability performance, and (3) there are no commonly accepted criteria set to assess the sustainability of the MMSs in the literature. The current study aims to present a practical and robust decision-making framework that can overcome excessively complicated uncertainties to evaluate the sustainability performance of MMSs. Further, it suggests a novel methodological framework, i.e., Delphi, Logarithmic Percentage Change-Driven Objective Weighting (LOPCOW), and Combined Compromise Solution (CoCoSo) methods with interval-valued fuzzy neutrosophic number (IVFNN) information, which can be defined as a reconciliation tool to set the criteria affecting the assessment processes. Findings present that computing time, scenic adoption, and accidents are the foremost criteria, whereas mini-electric VH, powered standing scooter, and powered seated scooter are the most promising MMSs, respectively. Findings reveal that computing time, scenic adoption, and accidents are the critical factors for the sustainability assessment of MMSs, whereas mini-electric VH, powered standing scooter, and powered seated scooter are the most promising MMSs, respectively. The current paper's overall outcomes and findings can assist practitioners and policy-makers in the urban transportation industry in setting sustainability policies and investing in the more rational and sustainable MMSs.
AtıfScopus104WoS91OpenAlex112
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MakaleYalnız künye2023Scopus SJRQ1/r/munzur/1770
Carbide slag recycling to fabricate shape-stable phase change composites for thermal energy storage
Xiong, Yaxuan; Wang, Huixiang; Ren, Jing; Nevzat, Akkurt; Xu, Qian; Nie, Binjian; Li, Chuan; Ding, Yulong
The mining and processing of traditional skeleton materials inevitably generates carbon emissions and pollutes the surrounding environment. To make full use of industrial solid waste, this work innovatively used carbide slag as skeleton material and Na2CO3 as phase change material (PCM) to fabricate shape-stable phase change composites (SSPCCs) via the cold-compression & hot-sintering method. Seven SSPCCs were fabricated with different mass ratios of carbide slag to Na2CO3. Then, the thermal energy storage (TES) performance, mechanical property, micromorphology, chemical compatibility as well as thermal cycling stability were investigated. The results showed that the carbide slag could combine with Na2CO3 to fabricate SSPCCs; Sample CN5 achieved the optimal performance with the mass ratio 52.5:47.5 of carbide slag to Na2CO3; Sample CN5 achieved a TES density of 993 J/g in the range of 100 to 900 °C, a compressive strength of 22.02 MPa and a maximal thermal conductivity of 0.62 W/(m·K); Both carbide slag and Na2CO3 were distributed uniformly in sample CN5, while good thermal stability after the 100 heating/cooling cycles and good chemical compatibility between the carbide slag components and the Na2CO3 were observed.
AtıfScopus34OpenAlex30
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MakaleYalnız künye2023Scopus SJRQ1/r/munzur/1763
The relationship between unemployment anxiety, job satisfaction and migration attitude among the next generation of Turkish nurses: A cross-sectional study
Öncü, Emine; Köksoy Vayısoğlu, Sümbüle; Karadağ, Gülendam; Şahin Orak, Nuray; Selçuk Tosun, Alime; Yüksekol, Özlem Doğan; Çatıker, Aslıhan; Yalçın, Gülcan Çiftçioğlu
Background: The global nursing shortage is complex and multifaceted. Despite the policy of increasing the number of nurses, concerns about the sustainability of the nursing workforce in Turkey continue. Aim: To evaluate the relationship between unemployment anxiety, job satisfaction, and migration attitudes among Turkish nursing candidates. Methods: A cross-sectional study was conducted with 1100 nursing candidates between April and June 2022. The data gathered from the “Personal Form, Job Satisfaction, and Brain Drain Attitudes Scale” were analyzed using logistic regression and decision tree analysis. Results: Of the participants, 67.1% were female, and the mean age was 22.6 ± 1.7 years. Being male (OR = 1.317, 95% Cl 0.994–1.743) having a low income (OR = 1.754, 95% Cl 1.334–2.306), feeling insecure about the future (OR = 2.340, 95% Cl 1.312–4.175), expecting a lower wage than desired (OR = 2.015, 95% Cl 1.132–3.586), and employment precariousness (OR = 1.786, 95% Cl 1.355–2.353) increase the possibility of experiencing high unemployment anxiety. On the other hand, family support for living abroad (OR = 0.579, 95% CI 0.408–0.821) and job satisfaction (OR = 0.799, 95% CI 0.692–0.921) decrease unemployment anxiety (p < 0.05). According to the results of the decision tree analysis, the host country's pull factors are the best predictors of the nursing candidates' intention to work abroad as nurses (p < 0.05). Conclusion: The increasing prevalence of unemployment anxiety and migration tendencies among nursing candidates requires the evaluation of policies aimed at increasing the number of nursing graduates in Turkey.
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MakaleYalnız künye2023Scopus SJRQ1/r/munzur/1751
Buoyancy-driven flow and thermal activity of nano-enhanced phase change material in inversed U-shaped chamber
Younis, Obai; Abderrahmane, Aissa; Laidoudi, Houssem; Akkurt, Nevzat; Fadhl, Bandar M.; Guedri, Kamel
This work aims to contribute to the positive evolution towards a green world and green energy by studying the natural convection of Nano-Enhanced Phase Change Material NEPCM in an inverted U-shaped cavity. The side walls of the cavity are kept at a cold temperature, while the upper corrugated wall and the lower wall are insulated with the expectation of the hot square body. The governing equations were solved numerically using the Galerkin finite element method (GFEM). The effects of the following factors on the heat transfer rate are presented and discussed: Rayleigh number (Ra = 103–106), number of ripples of the upper wall (N = 1–4), position of the square body (left, centre, and right), volume fraction of nanoparticles (ϕ = 0–0.08), and magnetic field strength (Ha = 0–100). It was found that the effect of N on the heat transfer rate was insignificant, while increasing ϕ reduced the heat transfer rate. In addition, placing the square body near the cold sidewalls (left or right position) improved the averaged Nusselt number (Nuavg), especially at low values of Ra. At the highest Ra studied, increasing Ha reduced the Nuavg by 15 %.
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