Sürdürülebilir Kalkınma Amaçları
Yazarlar
- Yönten, Vahap(3)
- Acar, Ramazan(2)
- Gülmez, Nihan(2)
- Koçkal, Niyazi Uğur(2)
- Tanyol, Mehtap(2)
- Acar, R.(1)
- Aktas, Nahit(1)
- Akça, Muhammet Esat(1)
- Alatas, Bilal(1)
- Arici, Erdinc(1)
- Ateş, Kayhan(1)
- Aydoğmuş, Ercan(1)
- Aydın, Yılmaz(1)
- Aydın, Çağlar Mert(1)
- Aytac, Ayca(1)
- Camas, Mustafa(1)
- Canpolat, Erdal(1)
- Celik, Fatih(1)
- Cevik, Mutlu(1)
- Derse, Onur(1)
- Duran, Gülseven(1)
- Döner, Deniz(1)
- Erdemoğlu, Murat(1)
- Erol, Rızvan(1)
- Garipcan, Ali Murat(1)
- Goksu, Ali(1)
- Gökyildiz, Beritan(1)
- Göçmen, Elifcan(1)
- Hakan Andiçi(1)
- Hayaloğlu, Ali Adnan(1)
- Karaaslan Ayhan, N.(1)
- Karaaslan, Nagihan M.(1)
- Karaca Sanyürek, Nesrin(1)
- Kaya, Mehmet(1)
- Kaya, Turgay(1)
- Kiziloluk, Soner(1)
- Kouider, Bendine(1)
- Meşe, Zeynep(1)
- Ozalp, Hasan Baris(1)
- Polat, Alper(1)
Yayınlar
- MakaleAçık Erişim2026Scopus SJRQ1Optimization of scours downstream of conduit aerators
Arici, Erdinc; Tuna, M. Cihat; Aytac, Ayca; Acar, Ramazan; Tunc, Mustafa
Dams, wastewater treatment plants, and aquaculture areas often require aeration, making it crucial for hydraulic engineers to predict the physical properties of scour holes occurring on the downstream side of conduits. Conduit systems that provide high aeration performance necessitate multiple optimization studies to simultaneously maximize the scour parameters and the system’s physical properties. In this study, the physical parameters of conduit systems and downstream scour parameters were optimized using Artificial Neural Networks (ANN). The optimum system parameters were identified based on the experimental results through ANN-based optimization. Additionally, the real and optimal effects of the parameters on aeration performance and scour were determined. The results of the study demonstrated that ANN can be effectively used in studies aimed at optimizing the aeration performance and scour values of conduits. This study is the first to apply ANN for the simultaneous optimization of both aeration efficiency (Qa/Qw) and scour characteristics (dmax and δ) in a conduit-based hydraulic system. Previous studies have typically focused on either scour or aeration individually; this study integrates both through a multi-objective ANN model. The findings provide novel insights for the design and retrofitting of energy-dissipating conduit structures in high-head dam applications. Unlike traditional empirical or regression-based approaches, the ANN model captures complex, nonlinear relationships among multiple interacting hydraulic variables. It identified optimal parameter combinations — such as 70% gate opening, 1.30–1.50 m conduit length, and 9 mm air hole diameter — that improve both aeration and scour behavior. These outcomes offer direct applicability for real-world hydraulic system optimization.
AtıfOpenAlex1
İncele - MakaleAçık Erişim2025Scopus SJRQ3Optimization of rare earth elements recovery from Kızıldag (Karaman-Türkiye) shale ore using response surface methodology
Uysal, Turan; Ünal, Ceren Erust; Akça, Muhammet Esat; Sis, Hikmet; Erdemoğlu, Murat
In this study, the usability of bauxite-related shale ore, rich in Rare Earth Elements (REEs), to produce REEs, which have high added value and critical importance, was investigated. In this context, Kızıldag (Karaman-Türkiye) shale ore, was prepared for tests through size reduction and sampling processes. HCl leaching was performed at different acid concentrations, leaching times, leaching temperatures, and liquid/solid ratios to determine the optimum leaching conditions for the milled ore. The modeling and optimization parameters related to leaching recovery were investigated using the response surface method (RSM). The results were evaluated using analysis of variance, three-dimensional graphs were drawn, and the accuracy of the models was discussed. Accordingly, optimum values were found, and the REE leaching recovery corresponding to these optimum values was 49.13%. It was concluded that the optimization results were compatible with the experimental results, and the average error rate (6.35%) was low.
AtıfScopus3OpenAlex4İncele - MakaleAçık Erişim2025Scopus SJRQ2Advanced synthesis and comprehensive characterization of nanoparticle-reinforced epoxy-based biocomposites derived from modified palm oil
Şahal, Hakan; Aydoğmuş, Ercan; Canpolat, Erdal; Kaya, Mehmet
In this research, new biocomposites were synthesized by two-step modification of palm oil (MPO). The raw material (MPOSA) was epoxidized in the first step and obtained by reacting with 4,4-diaminodiphenyl sulfone in the second step. Silicon carbide (SiC), MPOSA, bisphenol A diglycidyl ether, and epoxy resin were used to obtain the biocomposites. After this process, necessary physical tests and chemical analyses were performed. Fourier transform infrared spectroscopy (FTIR) and scanning electron microscope (SEM) analyses were used to characterize the biocomposites. The research included measurements of bulk density, Shore D hardness, thermal conductivity, and thermal stability of the biocomposite. The results indicated that MPOSA reinforcement decreased the bulk density of the biocomposite in proportion to the doping level, and Shore D hardness tests revealed a decrease in hardness with the addition of MPOSA. The increase in MPOSA reinforcement also led to a reduction in the thermal conductivity coefficient. In experimental studies, the optimum reinforcement ratio was determined as 1 wt.% nano-SiC, 10 wt.% glass fiber, and 10 wt.% MPOSA. Excessive MPOSA reinforcement adversely affected the matrix structure and pore distribution of the nanocomposite due to aggregation due to increased intermolecular interaction. Thermal decomposition results showed that MPOSA reinforcement reduced the activation energy of the nanocomposite. This study successfully developed an economical, environmentally friendly, and easily processed biocomposite and contributed to the development of functional and sustainable alternatives.
AtıfScopus3WoS3OpenAlex3İncele - MakaleYalnız künye2025Scopus SJRQ2Using Meta-Heuristic Optimization Algorithms to Determine Baseflow and Comparing Their Temporal Performance
Acar, Ramazan; Sapliogu, Kemal
Accurate and simple determination of baseflow is an extremely important issue. In this study, the baseflow levels of Göksu station number 1805 in the Seyhan basin were determined by calibrating the Lyne and Hollick, Chapman, Chapman and Maxwell methods available in the literature using meta-heuristic optimization methods. The meta-heuristic algorithms used for calibration in the study were run thirty times each. Thus the reliability, the reliability of the algorithms was tested with the standard deviations obtained. The study also measured the temporal performance of the algorithms. In addition, the baseflows of Göksu station were determined and their percentage rates were found separately according to all three methods and intuitive methods, and the results obtained were compared. By examining the results obtained in this section, the average baseflow rate of the basin was also determined. Furthermore, each phase of the study was repeated over a five-year period, with the objective of measuring its sustainability. Consequently, it has been demonstrated that the method can be employed over extended periods.
AtıfOpenAlex1İncele - MakaleAçık Erişim2025Scopus SJRQ1A novel post-processing approach for improving minimum nonlinearity in S-boxes: A case study based on 2D hyper chaotic Schaffer transformation map
Aydın, Yılmaz; Garipcan, Ali Murat; Özkaynak, Fatih
Substitution boxes (s-boxes), providing nonlinearity in block cipher algorithms, constitute a fundamental security layer against linear and differential cryptanalysis attacks. In this study, an innovative s-box generation method is proposed by integrating a 2D hyper-chaotic Schaffer map (SM) with biomolecular DNA-based encoding techniques. Furthermore, to enhance the security of s-box structures, a novel post-processing algorithm is developed, aiming to simultaneously optimize both the average (NLavg) and minimum (NLmin) nonlinearity levels by targeting linear components. Unlike traditional meta-heuristic methods, the proposed algorithm avoids random exploration across large search spaces, instead identifying dominant linear components through Walsh spectrum analysis and applying targeted permutation operations to suppress their effects. This strategy not only increases the NLavg value but also balances the contribution of each Boolean function to security, thereby establishing a homogeneous and consistent security structure across all input–output combinations. Comparative experimental analyses with existing methods demonstrate that the proposed approach outperforms prior techniques in terms of both cryptographic security metrics and computational efficiency. In this respect, the study presents an advanced s-box design framework, characterized by high nonlinearity and a balanced spectral distribution, suitable for integration into modern block cipher systems.
AtıfScopus12WoS13OpenAlex13İncele - MakaleYalnız künye2024Scopus SJRQ3Using the Particle Swarm Optimization (PSO) Algorithm for Baseflow Separation and Determining the Trends for the Yesilirmak River (North Turkey)
Acar, R.; Saplioglu, K.
Estimation of baseflow is a complex hydrographic task. Baseflow techniques and coefficients vary from basin to basin, stream to stream, and year to year. In this study, meta-heuristic optimization is used to automatically identify baseflow. The Particle Swarm Optimization (PSO), a meta-heuristic optimization approach, is chosen. The constraint and cost functions were determined using the PSO algorithm, Lyne and Hollick techniques, and a computer application. Over the period 1980–2015, the data were collected at the Kale station in the Yesilirmak River basin to validate the study model. The results show that the hydrographs and baseflow dividing line were separated effectively. It has also been revealed that the PSO has a high speed as well as a high level of precision. In the research, in addition to the baseflow separation, the hydrograph, baseflow, and ratio of the baseflow to the streamflow at the station No. 1402 were assessed using the Mann–Kendall test and Innovative Trend Test (ITA), and as a result, their trends have been found. By the use of both of these methods, it has been shown that all parameters have an unfavorable trend. In addition, the research came to some other significant conclusions, such as the fact that the baseflow declines in tandem with the flow values and that the baseflow rates are low in years with high peak values of the hydrograph.
AtıfScopus4WoS5OpenAlex6İncele - MakaleAçık Erişim2024Scopus SJRQ1Evaluation of antioxidant, antimicrobial, and bioactive properties and peptide sequence composition of Malatya apricot kernels
Aydın, Çağlar Mert; Çelikbıçak, Ömür; Hayaloğlu, Ali Adnan
BACKGROUND: This study used four different apricot (Prunus armeniaca) kernels cultivated in Malatya during two consecutive years. The varieties were Hacihaliloglu, Hasanbey, Kabaasi, and Zerdali. The physicochemical properties of the kernels were determined, and the bioactive content of the kernels was evaluated using kernel hydrolysates prepared using trypsin. RESULTS: With regard to the physicochemical properties of the kernels, the dry matter ratio and protein content were the highest in the Hacihaliloglu variety; the ash ratio was the highest in the Kabaasi variety, and the free oil ratio was the highest in the Hasanbey variety. The bioactive compound content changed according to kernel variety. Angiotensin-converting enzyme inhibitors activity was found to be the highest in the Hacihaliloglu and Hasanbey varieties, which had the lowest amygdalin content, and Zerdali had the highest amygdalin content. The antioxidant and antimicrobial effects of the kernels varied, with Hasanbey and Kabaasi generally having the highest content in both analyses. Moreover, a concentration of 20 mg mL−1 of the hydrolysate was determined to have a destructive effect for the microorganisms used in this study. The storage protein of the kernels, except Hacihaliloglu, was found to be Prunin 1, with the longest matching protein chain in the kernels being R.QQQGGQLMANGLEETFCSLRLK.E. CONCLUSION: The results suggest that the peptide sequences identified in the kernels could have antihypertensive, antioxidative, and Dipeptidyl peptidase IV (DPP-IV) inhibitory effects. Consequently, apricot kernels show potential for use in the production of functional food products. Of the kernels evaluated in this study, Hacihaliloglu and Hasanbey were deemed the most suitable varieties due to their higher bioactive content and lower amygdalin content.
AtıfScopus13WoS11OpenAlex12İncele - MakaleYalnız künye2024Scopus SJRQ1Predicting and optimizing maximum flexural strength of planar composite plate shear walls – concrete filled with the application of LR and RSM
Polat, Erkan; Polat, Elifcan Göçmen
Traditional theoretical models, while conservative, overlook the complex, nonlinear interactions between material and geometric parameters that influence wall flexural strength. Additionally, the extent to which these models maintain their conservative assumptions across varying parameters remains uncertain. This study aims to develop advanced predictive models for the flexural strength of planar composite plate shear walls—concrete filled (C-PSW/CF) by employing Linear Regression (LR) and Response Surface Methodology (RSM). Central Composite Design (CCD) was utilized to design numerical experiments to analyze the effects of varying parameters, including steel plate yield strength, concrete compressive strength, wall depth, depth-to-thickness ratio, and reinforcement ratio. A validated complex finite element modeling (FEM) procedure was used to analyze numerical experiments involving varying parameters of the selected variables. Both LR and RSM were applied to the generated dataset to formulate predictive equations for the maximum moment capacity of walls. Interaction plots were developed to reveal the nonlinear relationships between the variables and identify the most effective parameters influencing the wall strength. Comparisons between theoretical predictions, RSM, and LR models revealed that RSM provided the most accurate predictions, closely aligning with FEM results and effectively capturing the nonlinear interactions between wall parameters. The findings of this paper contribute to the development of more practical, accurate and optimized design methods for C-PSW/CF, ultimately improving both structural safety and efficiency.
AtıfScopus10WoS8OpenAlex10İncele - MakaleAçık Erişim2024Scopus SJRQ1Design of Ohmic Thawing Cell with Hydrostatic Pressure Units: Application in Minced Beef
Döner, Deniz; Çokgezme, Ömer Faruk; Çevik, Mutlu; İçier, Filiz
The thawing process is a common processing method used in the meat industry. To ensure provide food safety and protect meat quality, the thawing process should be carried out carefully. Ohmic thawing (OT) is one of the novel thawing methods. In this study, a custom-designed ohmic thawing prototype was set up and used to thaw frozen minced beef samples in different shapes (X: 13 × 4 × 3 cm3; Y: 13 × 6 × 2 cm3; Z: 13 cm height × 3.91 cm diameter) at 3 different voltage gradients (10–13-16 V/cm) by using 3 different electrode designs (E1, titanium foil; E2, needle type titanium electrode; E3, titanium embossed). The optimum OT condition resulting in a high-quality product with the highest process efficiency was determined. As an optimization procedure, a three-level general factorial design was performed. Thawing time, drip loss, thawing ratio, maximum temperature, ohmic power consumption, energy efficiency, and exergy efficiency values were used as responses. The cylindrical sample shape resulted in higher changes in quality and decreased performance of the process. The optimum ohmic thawing condition was a 16 V/cm voltage gradient for Y-shaped samples by using an E2 electrode design. The thawing time for the optimum condition was 2074s corresponding ohmic power consumption of 15.84 W. The drip loss during thawing was measured at 1.20%. The maximum temperature reached during the thawing process was recorded as 15.90 °C. Energy efficiency and exergy efficiency values were greater than 35%. Based on these results, the overall desirability of the ohmic thawing method was evaluated as 0.755. The obtained desirability value indicated the ohmic thawing method to be highly efficient and effective in achieving optimal thawing outcomes. The results of this study could give valuable information on the design of industrial-scale ohmic heating units to be used with solid foods, especially for thawing purposes.
AtıfScopus13WoS11İncele - MakaleYalnız künye2024Scopus SJRQ1Optimization of Pectin Extraction from Lemon Peel Powder by Ohmic Heating Using Full Factorial Design
Çilingir, Seda; Duran, Gülseven; Gökyildiz, Beritan; Goksu, Ali; Sabanci, Serdal; Cevik, Mutlu
Ohmic heating-assisted extraction has emerged as an effective method preferred in recent years. This extraction method is affected by experimental factors such as temperature, process time, and voltage gradient. The present study aimed to optimize the pectin extraction process from lemon peel powder samples by the ohmic heating-assisted extraction method. In this study, the effects of 3 different voltage gradients (7, 9, and 11 V/cm), 3 different solid to liquid ratios (1:20 g/mL, 1:40 g/mL, and 1:60 g/mL), and 3 different holding times (0, 60, and 120 min) and their interactions were investigated to determine the optimum extraction condition at constant temperature (80 °C) and pH = 1 sulfuric acid solution. The factors examined in the optimization procedure were pectin yield, power consumption, and energy efficiency. The optimum conditions were found to be 11 V/cm voltage gradient, 1:60 g/mL solid to liquid ratio, and 120-min holding time with a desirability value of 0.778. The results of this study could give important information about the design of industrial scale ohmic heating units, especially from different food wastes in industrial pectin production.
AtıfScopus7WoS7OpenAlex5İncele - MakaleAçık Erişim2023Scopus SJRQ3Optimization of shape factor by the response surface method, and the effect on sphalerite flotation recovery
Uysal, T.
Various morphological parameters that affect the flotation recovery of sphalerite were modelled and optimized using the response surface method (RSM). The effects of roughness value, shape factor, and collector concentration were investigated using the central composite full design method. The results were evaluated by analysis of variance. The optimum roughening time was found to be 25 minutes, the optimum roughness value was 2.9071 μm, and the optimum collector concentration was 0.001 M. Using these values, a flotation recovery of 98.01% was obtained. Similarly, in shape factor studies, the optimum grinding time was 15 seconds, the optimum roundness value 0.7421, and the optimum collector concentration 0.0009 M, which resulted in a flotation recovery of 94.30%. The average error between the optimization results and the experimental results was estimated to be less than 6%, and the R2 values were greater than 90%. The study shows that RSM can be effectively applied in finding the economic optimum condition for obtaining maximum flotation recovery with minimum reagent consumption.
AtıfScopus2WoS2OpenAlex2İncele - MakaleYayıncıda açık erişim2023Scopus SJRQ3Optimization Approach in Window Function Design for Real-Time Filter Applications
Serbet, Fatmanur; Kaya, Turgay
Eliminating the Gibbs oscillations that occur during the Finite Impulse Response (FIR) digital filter design with the Fourier Series method will ensure correct filtering. For this reason, the development of the window improves the performance of the filter and, therefore, the system. In this study, the cosh window function is designed using Particle Swarm Optimization, which is a preferred optimization method in many areas. Thus, alternatives to the standard results obtained from the existing traditional calculations will be produced, and different windows that perform the same function will be obtained. In addition, exponential and cosh window functions were designed in LabVIEW environment, which is a graphical programming language-based program, and the designed windows were analyzed at different parameter values. LabVIEW provides a fast and easy programming environment, and it provides the opportunity to realize real-Time applications with its external hardware. Utilizing this feature, the amplitude spectrum of cosh window designed in LabVIEW is displayed in real time for different window parameter values. As a result, FIR digital filters were designed using cosh window based on optimization and the cosh window designed in LabVIEW, and the distorted EEG signal was filtered using these filters and displayed in real time.
AtıfScopus8WoS5OpenAlex5İncele - MakaleYalnız künye2023Scopus SJRQ1Adsorption potential of neodymium/alginate beads for removal of Congo red and Brilliant blue G from aqueous solution
Seker, S.; Karaaslan Ayhan, N.
In this study, neodymium/alginate (Nd/Alg) beads were prepared to removal of Congo Red (CR) and Brilliant Blue G (BBG) dyes from aqueous solution and the adsorption potentials of these dyes were investigated. For this, Nd/Alg beads prepared using crosslinking were characterized by FTIR, SEM–EDS and TGA. For the adsorption of CR and BBG dyes, the effects of various parameters including the amount of Nd in adsorbent (bead), pH, contact time, adsorbent amount, initial dye concentration and temperature were investigated. The optimum conditions for the effective removal of CR and BBG dyes were determined as Nd amount in bead: 3%, pH: 7, contact time: 60 min, bead amount: 15 mg, initial dye concentration: 25 mg/L and temperature 298 K. Adsorption isotherm studies (Langmuir and Freundlich isotherms) and kinetic studies (pseudo-first-order and pseudo-second-order) were carried out under optimum conditions. The adsorption data were found to completely follow Langmuir model for CR and BBG dyes. The maximum adsorption capacities were found to be 46.03 mg/g for CR and 25.25 mg/g for BBG under optimum conditions. The adsorption kinetic data of both dyes were found to be compatible with pseudo-first-order and adsorption processes were explained by intraparticle diffusion. According to thermodynamic studies, nature of adsorption reaction was spontaneous, exothermic and increasing randomness for both dyes. As a result, it can be concluded that Nd/Alg beads obtained with a natural polymer have low cost and high efficiency and even small amounts of these beads have high potential for treatment of high concentration dye wastewater.
AtıfScopus10WoS8OpenAlex10İncele - MakaleYalnız künye2023Scopus SJRQ2Computer-aided Optimization of Geopolymer Mortars
Gülmez, Nihan; Koçkal, Niyazi Uğur
The optimum mix design of geopolymers involves the purpose of determining which mixture will have high engineering properties without compromising the importance of each variable. This experimental study aimed to investigate the effects of some critical geopolymer mixture parameters on engineering properties by using historical data design in response surface methodology (RSM). Statistical models were developed between factors (binder and aggregate content, curing conditions and aggregate type) and their response surfaces (oven dry (OD) bulk density, water absorption, compressive strength and flexural strength). The final mathematical models for the response surfaces were constructed in terms of coded factors defined as dimensionless. In addition, a multipurpose optimization technique was used to achieve the desired design with the desired maximum strength.
- Yüksek Lisans TeziAçık Erişim2022Hibrit biyonanokompozit malzemelerin sentezlenmesi ve sulu çözeltilerden neodimyum gideriminde kullanımının modellenmesi
Hakan Andiçi
Bu tez çalışmasında aljinat ve kitosan kaplı manyetik demir oksit (Fe3O4) nanopartiküllerin (aljinat-Fe3O4, kitosan-Fe3O4), biyosentez tekniği ile sentezlendi. Sentezlenen aljinat- Fe3O4 ve kitosan-Fe3O4 hibrit biyonanokompozitlere sabit bir kolon içerisinde Nd3+'nın adsorpsiyonu ve desorpsiyonu yanıt yüzey metodolojisi (YYM) ile kombine edilmiş bir merkezi kompozit tasarım yaklaşımı (MKT) kullanılarak ve kontrollü desorpsiyonu incelendi. Aljinat-Fe3O4 ve kitosan-Fe3O4 nanokompozitlerin karakterizasyonu UV-GB, FT-IR, TGA-DTA, XRD ve SEM-EDS kullanılarak gerçekleştirildi. Sentezlenen ve karakterize edilen söz konusu biyokompozite malzemelere, Nd3+ iyonlarının adsorpsiyonu, çözelti pH'ı, çözeltinin kolondan akış hızı ve başlangıç Nd3+ iyonları konsantrasyonunun bir fonksiyonu olarak incelendi. Nd3+'nın hem aljinat-Fe3O4 hem de kitosan-Fe3O4 hibrit biyo-nanokompozit üzerine adsorpsiyonu sabit yataklı bir kolon sistemi kullanılarak optimum koşullar pH 5.4, çözeltinin kolondan akış hızı 4.0 mL dk-1 ve Nd3+ iyonları başlangıç konsantrasyonunun 120 mg L-1 olarak belirlendi. Aljinat-Fe3O4 ve kitosan-Fe3O4 biyo-nanokompozitlerin maksimum adsorpsiyon kapasitesi ve verimliliği sırasıyla 125.01 mg g-1, %99.8; 99.99 mg g-1, % 99.8 olarak hesaplandı. Deneysel parametrelerin optimizasyonu MKT yaklaşımı ile gerçekleştirildi ve önerilen kuadratik modelden hem aljinat-Fe3O4 hem de kitosan-Fe3O4 Nd3+ iyonlarının adsorpsiyonu için birer matematiksel model elde edilerek sunuldu. Varyans analizi sonuçları sentezlenen her iki kompozit malzemenin Nd3+ iyonlarının gideriminde kullanılmasındaki belirleme katsayılarının yüksek olduğunu gösterdi.
- MakaleYalnız künye2022Scopus SJRQ2A mathematical programming model for facility location optimization of hydrogen production from renewable energy sources
Derse, Onur; Göçmen, Elifcan; Yılmaz, Ebru; Erol, Rızvan
Fossil fuels are the primary energy sources and meet the global energy demands. However, environmental and health problems related with these sources boosted the demand for renewable energy sources. Hydrogen, as an energy carrier has a growing potential for solving these problems. In this article, a mathematical programming model that integrates the production, storage and transportation, safety, location, and staff assignment decisions is presented considering minimization of costs. Although most of the studies focus on location, distribution, storage decisions of hydrogen energy networks, the article also includes production, safety and staff assignment decisions to make this problem more practical. Furthermore, we also investigate the set covering constraint will ensure that each region is covered by minimum number of the hydrogen facilities. The developed model ensures a balance between location, distribution, storage, production, safety and staff decisions by installing two production facilities by assigning total 9 warehouses, 22 tank trucks, 12100 km pipeline, 35 staffs under distance constraint 2000 km in regions 1 and 5. The computational results indicate that the proposed model produces effective solutions for the coverage to all region and minimum total cost for real-case situations.
AtıfScopus20WoS16OpenAlex29İncele - MakaleYalnız künye2022Scopus SJRQ2Corrosion potential and electromagnetic shielding effectiveness of geopolymer tiles produced with waste metal particles
Gülmez, Nihan; Koçkal, Niyazi Uğur; Özen, Şükrü; Ateş, Kayhan
This study is related to the production of special geopolymer specimens, where high effectiveness is provided in terms of electromagnetic interference (EMI) shielding and corrosion resistance. The study is important for the preparation of silica fume/slag based geopolymers by using waste steel and iron powder as a partial substitute for slag aggregate and thus to provide an effective solution to the disposal problems of waste metals. The electromagnetic interference shielding effectiveness (SE) of geopolymer tiles of 7.6 ± 0.1 mm thickness with different metal contents was measured at 4.9–7.05 GHz. Corrosion activity was monitored by measuring the half-cell potential of copper/copper sulphate (Cu/CuSO4) on specimens kept under controlled laboratory conditions for a period of 90 days at %60 relative humidity according to ASTM C876. In addition, anextensive evaluation of the optimization research on the design and proportion of mortar mixtures is presented here. EMI shielding effectiveness of slag based geopolymer tile with 10% steel particles has been determined as 26.1 dB in the frequency range 4.9–7.05 GHz. The results show that the shielding effectiveness reached a maximum of 23.1 decibels (dB) for geopolymer tiles in 40% iron powder content. Also, from experimental results, it was learned that geopolymer specimens with high slag content as binders in the mixtures showed better corrosion resistance.
AtıfScopus10WoS10OpenAlex10İncele - MakaleAçık Erişim2021Scopus SJRQ3Optimization of Meristem Culture to Obtain Virus-Free Clonal Basic Material of Grape Cultivars; [Virüsten Ari Klonal Üzüm Çeşitlerine Ait Baz Materyal Eldesinde Mersitem Kültürünün Optimizasyonu]
Karaca Sanyürek, Nesrin; Çakir, Atilla; Söylemezoğlu, Gökhan
The main purpose of this study was to obtain a clone free from viruses and virus-like diseases to rapidly reproduce these clones. Meristems were extracted and cultured for the production of the base material for the Kalecik Karası number 4 and 23-2 clones. After the explants formed shoots, the effects of 12 dissimilar auxin (IBA) and cytokine (2İP and BAP) concentrations on the growth of the root and plant were investigated. In the meristem stage clones showed a 60 % and 80 % viability rate. In the rooting stage, it was determined that shoot formation and leaf numbers were higher in the Kalecik Karası clone number 23-2 and the 1.0 mg. L-1 IBA+0.5 mg. L-1 BAP/2 IP concentration showed the highest shoot formation and leaf number value. The highest callus levels were determined as 0.43 cm for clone number 4 and 0.72 cm for clone number 23-2. M S (Murashige & Skoog) with 2mg. L-1 IBA showed the highest rooting value. The longest root values were 3.47 cm with 1mg. L-1 IBA for clone number 4, and 3.90 cm with 0.5mg L-1 IBA for clone number 23-2.
AtıfScopus3OpenAlex2TR Dizin2
İncele - MakaleYalnız künye2020Scopus SJRQ2Modeling and optimization of indigo carmine adsorption from aqueous solutions using a novel polymer adsorbent: RSM-CCD
Torğut, Gülben; Tanyol, Mehtap; Meşe, Zeynep
A novel adsorbent was prepared via the free radical copolymerization of 2-(dimethylamino) ethyl methacrylate (DMAEMA) and acrylonitrile (AN) using 2,2′-azobisizobutyronitrile (AIBN) as an initiator at 65 °C. Poly(DMAEMA-co-AN) was characterized by FT-IR, 1H-NMR, and SEM techniques. Its thermal properties were determined by TGA and DSC. The copolymer was used to remove indigo carmine (IC) from aqueous solutions. The optimum IC removal percentage was determined to be 99.53% with poly(DMAEMA-co-AN) of 0.10 g/100 mL, contact time of 31.37 min, 46.58 mg/L initial concentration of IC using a central composite design in response surface methodology. The high maximum adsorption capacity (196.07 mg/g) proved that poly(DMAEMA-co-AN) can be used as a promising adsorbent for the removal of IC from wastewaters.
AtıfScopus20WoS19OpenAlex21İncele - MakaleYayıncıda açık erişim2020Optimal position of piezoelectric actuators for active vibration reduction of beams
Kouider, Bendine; Polat, Alper
This paper investigates the optimal placement of piezoelectric actuators for the active vibration attenuation of beams. The governing equation of the beam is achieved by coupled first order shear deformation theory with two node element. The velocity feedback controller is designed and used to calculate the feedback gain and then apply to the beam. In order to search for the optimal placement of the piezoelectric actuators, a new optimization criterion is considered based on the use of genetic algorithm to reduce the displacement output of the beam. The proposed optimization technique has been tested for two boundary conditions configurations; clamped -free and clamped-clamped beam. Numerical examples have been provided to analyze the effectiveness of the proposed technic.
AtıfScopus22WoS19OpenAlex21İncele