Yazar "Ozcan, Muciz" seçeneğine göre listele

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    20 kHz Unipolar Pulsed Field Surface Flashover Characteristics of Polymer Nanocomposites in Subatmospheric Pressure Helium
    (IEEE, 2014) Ozkan, Ali Osman; Ozcan, Muciz; Auad, Maria; Kirkici, Hulya
    The high performance electrical insulation materials and structures in power systems must be free from unwanted and unpredictable dielectric breakdown through the insulation as well as over the dielectric surfaces, and along the interfaces. Surface flashover, another form of breakdown, usually occurs over the surface of insulator between the energized electrodes, and is usually triggered by the stresses caused by the field at the insulator/electrode/ambient interfaces. Studies of surface flashover at sub-atmospheric pressures are specifically important for aerospace systems and vehicles operating in this regime. In this work we present surface flashover characteristics of two different polymer nanodielectrics filled with either TiO2 or Al2O3 nanoparticles. A 20 kHz pulsed, unipolar field is applied across the electrodes positioned on top of the sample with a 0.5 cm gap distance in sub-atmospheric pressure helium. The plasma characteristics, such as voltage, current and optical emission waveforms are recorded. Breakdown voltage as a function of pressure, frequency and duty cycle of the applied field is presented. Differences between the surface breakdown of TiO2 and Al2O3 filled samples are studied and results are presented. Furthermore, frame-by-frame images of the optical emission during the breakdown events are recorded and presented.
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    Control of diesel engines mounted on vehicles in mobile cranes via CAN bus
    (Tubitak Scientific & Technological Research Council Turkey, 2013) Ozcan, Muciz; Gunay, Hidayet
    In this study, the aim was to lift loads that required more force using the infrastructure of existing vehicles. To this end, a truck-mounted diesel engine was selected to be used in mobile crane applications. A control system was designed and implemented to obtain the appropriate hydraulic force by accessing the diesel engine with a controller area network bus via an electronic control unit (ECU). For this purpose, hydraulic pumps to be used to operate the crane were mounted on the selected mobile diesel engine with an ECU. Firms that manufacture cranes in the world produce cranes with infrastructure. This study was conducted in order to mount a telescopic crane that has a capacity to lift 50 t (with a radius of 3 m) on vehicles with standard infrastructure in Turkey. The other aim of this study was to determine the transactions that the crane operator made during operation in the past and log these data.
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    The Influence of Al2O3 and TiO2 Additives on the Electrical Resistivity of Epoxy Resin-Based Composites at Low Temperature
    (Wiley-V C H Verlag Gmbh, 2019) Eker, Yasin Ramazan; Ozcan, Muciz; Ozkan, Ali Osman; Kırıkçı, Hülya
    Electrical insulation is a major security problem in aerospace applications where temperature can reach relatively low values. Epoxy resins are well known as easily formable dielectric materials and can be used to prepare complex insulator parts. In this study, the electrical performance of bisphenol A/epichlorohydrin epoxy resin matrix-based nanocomposites containing 1, 3, or 6 wt% titanium oxide (TiO2) or aluminium oxide (Al2O3) nanofillers are investigated. Composites are characterized with thermogravimetric analysis, scanning electron microscopy-coupled electron dispersive spectroscopy, and confocal Raman spectroscopy. Furthermore, the role of additives and their ratio on the resistivity performance of the composites are evaluated from 77 to 500 K by applying a direct current voltage from 1 to 20 V. It is observed that the electrical properties of the matrix are directly influencing the insulation performance of the nanocomposite. For example, the abrupt decrease at 370 K of the positive temperature coefficient of the resin for all nanocomposites. It is found that the most resistive composite contains 3 wt% TiO2 nanoparticles with a value above 3.7.10(10) omega from 77 to 370 K at 20 V. As a result, this work gives information on to the choice of appropriate insulator materials in extreme working conditions.
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    Performance optimization and improvement of dust laden air by dynamic control method for jet pulsed filters
    (Elsevier Science Bv, 2019) Cankaya, Nihat; Ozcan, Muciz
    Almost all of the energy consumption of Jet Pulsed Filters is due to their reverse jet bag cleaning system. However, they have been working with simple bag cleaning algorithms. In order to optimize their energy consumption, these filters could be operated using an advanced automation with an innovative dynamic algorithms. In this study, initially, nine different types of novel cleaning algorithms were tested for Jet Pulsed Filters in an industrial plant by using an advanced automation system under real operating conditions. Then, an optimized cleaning algorithm was developed to operate all these filters efficiently, thanks to the data obtained from the experiments. By using the proposed algorithm instead of the classical one; energy consumption of the filter, the energy consumed per cubic meter of produced cleaning air and the waste oil generation were decreased by 50.7%, 73.9% and 86.5%, respectively. A 29.4 degrees C reduction in the temperature of the blower oil was also detected involving the extension of the oil life span by 7.4 times. Moreover, the average noise level in the factory was reduced from 83 dB to 79 dB. In this purpose, the number of bags cleaned per hour and the cleaning air production were increased by 183% and 89%, respectively. (C) 2019 The Society of Powder Technology Japan. Published by Elsevier B.V. and The Society of Powder Technology Japan. All rights reserved.
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    Rule extraction and performance estimation by using variable neighborhood search for solar power plant in Konya
    (Tubitak Scientific & Technological Research Council Turkey, 2020) Uzun, Yusuf; Ozcan, Muciz
    The use of renewable energy sources in the production of electricity has become inevitable in order to reduce the greenhouse gases left in the atmosphere that cause the Earth to warm up. Although countries on a national basis have implemented a number of policies to support electricity generated from renewable energy sources, investments to produce electricity without a license on a local basis are not desirable. Those who want to invest medium and small scale for the most reason expect that this work will be supported by real data. Although the electricity generated by renewable investments is generated by simulation data, these data are not realistic for such investors. In this study, the climatic conditions of the power plant of 1 MW installed in Konya and power plant production data are monitored. The artificial neural network (ANN) can achieve a high value for accuracy, but these values are sometimes complex and unclear. In the literature, a number of studies have been conducted using different methods to overcome such problems. Real-time solar power plant (SPP) data were used to determine the feasibility and success of the proposed method. The variable neighborhood search (VNS) metaheuristic method was used to acquire the optimal values belonging to input vectors, G(h), which were maximized to the value of the fitness function F-s belonging to output class node s. The results obtained by the VNS method showed that the proposed method has the potential to produce the correct rules. Generally, energy investors are curious about the return on their investment. It is very important for energy providers to estimate how much electricity will be generated from existing solar power plants and accordingly determine the measures they will take to meet the electricity demand in the future. In this study, the performance estimation value obtained from the solar power plant depending on the weather conditions was obtained with 95.55% accuracy.
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    The simulation and production of glow plugs based on thermal modeling
    (Tubitak Scientific & Technological Research Council Turkey, 2015) Endiz, Mustafa Sacid; Ozcan, Muciz; Erismis, Mehmet Akif; Yagci, Mustafa; Gunay, Hidayet
    In this work, we present the thermal behavior of a glow plug examined with thermal impedance modeling. The circuit model is based on the analogy of thermal and electrical domains and expresses the glow plug used in diesel engines to preheat the air-diesel fuel mixture. In this study, the circuit design, implementation, and simulation of a glow plug for diesel engines are illustrated. In order to verify this thermal model, 2 different glow plugs are produced. The test results of the glow plugs produced in this study show complete agreement with the simulation results. It is thought that this circuit-based model will provide fast and reliable simulations and will be beneficial in the industry for addressing different glow plug needs.
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    Why are consumers switching to electric vehicles? Analyzing consumers preferences for electric vehicles
    (Elsevier, 2023) Sen, Mehmet; Yigiter, Mahmut Sami; Ozcan, Muciz
    Turkey is highly dependent on foreign oil supply and the number of automobiles and fuel consumption is increasing day by day. In terms of greenhouse gas emissions, road transportation is second only to electric power generation. This study studies people's readiness to transition to electric vehicles in order to enhance their environmental and social quality of life, as well as the most effective strategy to increase the market share of electric vehicles (EVs) by 2030. We polled 466 automobile owners from 76 places throughout the country to determine their preferences. The intention to transition to EVs is the dependent variable in our study, with three ordinal responses ranging from Certainly will switch to Definitely will not switch. The survey used an ordinal response logit (ORL) model with four policy scenarios. These scenarios are: abolishing the special consumption tax (SCT), providing government-backed loans, introducing an age limit for conventional vehicles, and increasing the number of EV stations. In the absence of any policy action by the government or automakers, we estimate that the market share of EVs in Turkey would be 0.1% and the potential customer base would be 1% by 2030. The abolition of special consumption tax (SCT) on EVs would boost the intention to absolutely switch and the likelihood of switching to EVs by 19.5% and 53.2%, respectively. This result shows that the tax on vehicles is the main factor influencing consumers to switch to EVs. The results of this paper suggests that other scenarios implemented by the government will also increase the market share of electric cars in Turkey.