Teknik Bilimler Meslek Yüksekokulu Koleksiyonu

Permanent URI for this collectionhttps://hdl.handle.net/20.500.13091/1629

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Ball Throwing Machine Design To Develop Footballers’ Technical Attributes
(2021) Arslan, Cemile; Arslan, Mustafa; Yalçın, Gökhan; Kaplan, Turgut; Kahramanlı, Humar
For a football player to perform well in football, it is necessary to improve his technical and tactical skills. Improving these skills is enabled with the repetition of the same positions that the football player has the ball. The repetitions of these same positions can be performed with the aid of a machine. In this study, a football throwing machine design that can provide direction and velocity for the ball in a repeatable and controllable manner is generated for full educational evaluation. Ball loading canister on the ball throwing machine enabled to use of many balls. There are a couple of ball throwing wheels both are made of polyurethane material and have a concave surface. These wheels are mounted on a body for axial rotation on common ground. Each wheel’s rotation speed can be adjusted individually. To determine the horizontal-vertical direction of movement of the ball, two linear actuators are used. Ball’s velocity, direction, orbit, and throwing laps are controlled electronically. All controls concerning ball throwing are carried out via Delta PLC (Programmable Logic Controller) and HMI (Human Machine Interface) panel. A user interface is developed for controls made via PLC. Owing to the interface, different training plans are designed by handler or trainer via operator panel, and footballer is provided to train in various densities. To prevent toppling tripod system, and to carry easily a towing arm is used. The machine can work with an accumulator or feed directly from the grid circuit.
Computer Control of Z-Axis Movement in Micro Drilling Machine
(2020) Terzioğlu, Hakan; Yalçın, Gökhan; Neşeli, Süleyman
In this study, the automatic control of the feed axis is aimed to drill holes in micron diameters and precision by using a desktop drill. The control was carried out with the Visual Studio C # interface program using the feed rate, drilling depth and exit speed parameters of the drill in one axis. At the same time, the microprocessor control card enables the stepper motor of the drill to be managed and communicates with the computer. Using EEPROM memory, it is possible to work without the need of a computer whose operating parameters are stored in memory. PIC18F2550 microprocessor control board is used to control all components of the machine. In this way, both stepper motor drive and communication with computer are provided. With the designed control circuit, drilling can be performed with 3,6 degree precision. As a result of the drilling process carried out at different speeds and lengths of micron diameter (0.18-0.25µ) drill bits with the system created, it was seen that ideal drilling process could be performed according to the desired quality characteristics of the machine.
Citation - WoS: 13
Citation - Scopus: 15
Determination of Some Physical and Chemical Properties of Common Hawthorn (crataegus Monogyna Jacq. Var. Monogyna)
(SPRINGER, 2021) Dokumacı, Keziban Yalçın; Uslu, Nurhan; Hacıseferoğulları, Haydar; Örnek, M. Nevzat
Hawthorn as a wild plant is an important fruit for human health. In this study, it was aimed to determine some physical and chemical properties of common hawthorn which is native plant of middle Anatolia in Turkey. According to chemical analysis results, crude protein, crude oil, ash, pH, acidity, total phenol contents and antioxidant activity values were found to be 3.03%, 1.22%, 2.77%, 4.08, 1.56%, 9.35 mg g(-1) and 67.62% respectively. Some mineral matter contents as K, P, Ca, Mg, Fe, Na and B values were found to be 16,273.88 mg kg(-1), 1316.92 mg kg(-1), 1263.86 mg kg(-1), 934.87 mg kg(-1), 62.20 mg kg(-1), 57.06 mg kg(-1) and 42.28 mg kg(-1) respectively. The values of mass, diameter, length, geometric mean diameter and sphericity of Common hawthorn fruit were determined as 0.93 g, 11.37 mm, 12.25 mm, 11.65 mm and 0.95 at 68.98% (db) humidity respectively. In addition, fruit hardness, chroma (C*), hue angle (h*) of hawthorn was found as 1.21 N, 28.94 ve 16.19 under same humidity respectively. According to study results, it can be concluded that the hawthorn fruits are admirable natural food for human nutrition, and it can be considered as reference for the future researches.
Citation - WoS: 15
Citation - Scopus: 15
Developing a Deep Neural Network Model for Predicting Carrots Volume
(SPRINGER, 2021) Örnek, Mustafa Nevzat; Örnek, Humar Kahramanlı
In this paper, a deep learning approach to predict carrots volume according to the physical properties was designed. A total of 464 carrots were used for volume prediction. The used carrots were taken from Kasinhani, Konya. First, the data was produced. For this, the length, the diameters with 5 cm intervals, and the volume of each carrot were measured and recorded. The measurements were done using a steel ruler, a vernier caliper, and a glass graduated cylinder. Two deep learning methods: DFN and LSTM were developed to predict carrot volume. The developed systems were implemented with the Keras library for Python. Statistical measures such as Root Mean Squared Error, Mean Absolute Error, and R-2 were used to determine the predicting accuracy of the system. Both methods produced very close values. DFN and LSTM networks achieved 0.9765 and 0.9766 R-2, respectively. RMSE values were 0.0312 for both models. The results obtained showed that both DFN and LSTM are successful and applicable to this task.
Citation - WoS: 1
Citation - Scopus: 1
An Easy-To Self-Healing Smart Design for Increasing Impact Strength and Crashworthiness Resistance of Honeycomb Sandwich Structures
(Sage Publications Ltd, 2022) Güçlü, Harun; Osmanoglu, Serhat; Hayırkuş, Aslıhan; Taş, Oğuzhan; Yazıcı, Murat
In this paper, the dynamic compression impact response of an aluminum honeycomb core filled with open-cell foams impregnated with self-healing liquid agents was investigated experimentally. Samples were subjected to a variety of impacts in order to determine healing time and self-healing performance. Three different sandwich specimens were developed to evaluate the effectiveness of self-healing. The sandwich specimens are designated as B (empty honeycomb core cells), S (only open-cell soft polyurethane foam-filled honeycomb core cells), and self-healing agent (SHA) (open-cell soft polyurethane foams impregnated with liquid self-healing agents). The test results were presented by considering the crashworthiness and healing efficiency criteria, and the impact characteristics of the samples were compared related to these criteria. After testing, the results demonstrated that the self-healing agent specimens had much fewer buckling deformation and displacement than their counterparts. Significant improvements were achieved in healing efficiencies and crashworthiness evaluation criteria. The peak load and the energy needed to attain peak load are considered healing efficiency criteria. Self-healing agent specimens reached 29.7% and 12.9% more peak loads, and in the energy absorbed up to peak loads 140% and 34.9% higher values than the B and S sandwiches. In the same samples, crushing strain features were acquired as 50% versus 66%, indicating less displacement in self-healing agent specimens than counterparts. The results indicated that an aluminum honeycomb sandwich structure that can heal itself after damage and recover impact characteristics remarkably could be produced practically.
Citation - WoS: 8
Citation - Scopus: 9
An Experimental Performance Comparison of Newtonian and Non-Newtonian Fluids on a Centrifugal Blood Pump
(Sage Publications Ltd, 2022) Önder, Ahmet; Yapıcı, Rafet; İncebay, Ömer
The use of substitute fluid with similar rheological properties instead of blood is important due to ethical concerns and high blood volume consumption in pump performance test before clinical applications. The performance of a centrifugal blood pump with hydrodynamic journal bearing is experimentally tested using Newtonian 40% aqueous glycerin solution (GS) and non-Newtonian aqueous xanthan gum solution of 600 ppm (XGS) as working fluids. Experiments are performed at four different rotational speeds which are 2700, 3000, 3300, and 3600 rpm; experiments using GS reach between 8.5% and 37.2% higher head curve than experiments using the XGS for every rotational speed. It was observed that as the rotational speed and flow rate increase, the head curve difference between GS and XGS decreases. This result can be attributed to the friction reduction effect when using XGS in experiments at high rotation speed and high flow rate. Moreover, due to different fluid viscosities, differences in hydraulic efficiency were observed for both fluids. This study reveals that the use of Newtonian fluids as working fluids is not sufficient to determine the actual performance of a blood pump, and the performance effects of non-Newtonian fluids are remarkably important in pump performance optimizations.
Citation - WoS: 13
Citation - Scopus: 16
The Fuzzy Logic-Based Modeling of a Micro-Scale Sloped Solar Chimney Power Plant
(KOREAN SOC MECHANICAL ENGINEERS, 2021) Güzel, Muhammed Hüseyin; Ünal Ercan, Hatice; Önder, Ahmet; Şen, Muhammed Arif; Köse, Faruk
The energy demand of world is increasing worldwide because of increasing population and developing technology. The use of environmentally friendly renewable resources is very important in providing the increasing energy needs. In the renewable energy sources, the solar energy has a strategic importance because of its huge potential and unlimited. The production of electrical energy by solar chimney power plants is one of the reliable and profitable methods. Fuzzy logic-based approaches are commonly used for modeling different systems in many fields. Also, a renewable energy system can be modelled by fuzzy definitions. In this way, it can provide efficiently and quickly theoretical estimates of systems with productive simulations. In this study, using the experimental data obtained from the micro-scale sloped solar chimney power plant in carried on scientific research project by authors, the obtaining and verifying a fuzzy logic-based model (FLBM) that can calculate the change in air velocity at turbine according to the change of radiation and temperature is presented. The air velocity at the turbine inlet is the considerable variable determining the electricity generation in a solar chimney. Thus, the output of the model is determined as this air velocity. In changes in the radiation and temperature values are defined as inputs. A two input-one output fuzzy model is obtained, in which the inference method is designed in the form of Mamdani and the membership functions in the form of the triangle, making inferences according to the rule base determined by the experience achieved from the experimentally studies. In order to investigate the accuracy of the FLBM, the simulation results and the data get from experimental setup in April 2019 are compared and evaluated. The validation of the FLBM compared to the experimental system is investigated using different error evaluation criteria. It is proved that the results of FLBM and experimental data are realized at a high rate (95.95 %) close to each other and similarly.
Citation - WoS: 6
Citation - Scopus: 7
Fuzzy-Based Modeling and Speed Optimization of a Centrifugal Blood Pump Using a Modified and Constrained Bees Algorithm
(Elsevier Ireland Ltd, 2022) İncebay, Ömer; Önder, Ahmet; Arif, Şen, Muhammed; Yapıcı, Rafet; Kalyoncu, Mete
Background and objective: Side effects that may occur when using blood pumps for treatment of patients are the main limitations on pump rotational speed determination. Efforts are being made to reduce side effects in both design and usage procedures. In determining the pump speed for treatment, decreasing the pressure on the main artery and preserving the valve functions are taken into consideration. In addition to these, the parameters considered for design which include pump efficiency and mechanical effects on blood cells, should also be taken into consideration. In this study, the aim is to obtain the optimum pump speed for the maximum hydraulic efficiency and minimum wall shear stresses that occur inside the pump. Methods: Blood pump modeling based on fuzzy logic is created on the hydraulic performance data of a centrifugal blood pump, whose design, CFD analysis, manufacture and experimental testing have been performed previously. Using this fuzzy logic model, the optimum pump speeds were determined using the Bees Algorithm, an intuitive optimization algorithm, in the operating range 1-7 L/min fluid flow rate. In the optimization process, the aim is to achieve minimum shear stress with maximal efficiency. Intravascular pressure limits (90-160 mm-Hg) were set as pressure constraints. Results: The optimum operating point is obtained as a 3350 rpm pump speed and a 4.35 L/min flow rate. At this operating point, CFD simulation is performed, and maximum wall shear stress was found to be 1458 Pa and its efficiency as 34.2%. Conclusions: In addition to the parameters commonly used in the pump speed optimization of blood pumps, the use of wall shear stresses and pump efficiency can provide certain improvements. © 2022
Mathematical Modeling of Thermoelectric Generator by Regression Analysis
(2018) Ağaçayak, Abdullah Cem; Terzioğlu, Hakan; Neşeli, Süleyman; Yalçın, Gökhan
As countries grow, their need and demand for energy grow as well. The development of the technology and industry, which come to exist due to the growth of the country, a brings about a rise in energy consumption, as well as increasing the damage to the environment. Therefore, as the environmental and energy-related issues started to emerge more and more, we have seen an increase in the number of studies on energy production and its effects on the environment. Such studies highlight the renewable energy sources among the non-polluting alternative energy sources. Geothermal energy, particularly, shines out among the other renewable energy sources. It is a clean energy source that has been sustained since the Earth was formed. This study focuses on the design of a device named thermoelectric generator (TEG) that converts a renewable energy source, geothermal energy, directly into electric energy. Hence, we ran a simulation of a regression analysis and mathematical model on the thermoelectric modules TEC1-12706 and TEC1-12710, which can easily be found on the market, and then crosschecked the simulation results of different temperature, pressure, and water flow with experiments. The values for current, voltage, power, hot and cold surface temperatures, and the temperature difference between hot and cold surfaces were constantly monitored and recorded. The results of the experiment were compared using the regression analysis method. For the device TEC1-12706, error percentage of 9 experiments was 16.52% while it was 9.70% for TEC1-12710. At 90°C temperature difference, for TEC1-12706, output voltage was Vmax = 2.03V, output power Pmax = 2.17W, and efficiency 32.15%. For TEC1-12710, output voltage was Vmax = 2.11V, output power Pmax = 3.42W, and efficiency 38.53% [1,2].

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Browsing Teknik Bilimler Meslek Yüksekokulu Koleksiyonu by Department "Meslek Yüksekokulları, Teknik Bilimler Meslek Yüksekokulu, Makine ve Metal Teknolojileri Bölümü"