Browsing by Author "Tastan, M"

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    Cost Analysis of T6 Induction Heat Treatment for the Aluminum-Copper Powder Metal Compacts
    Tastan, M; Gökozan, H; Çavdar, PS; Soy, G; Çavdar, U
    This work compares an energy cost and an energy consumption results of the 4 wt.% cupper mixed aluminum based powder metal (PM) compacts processing under induction or furnace heating. Total power and energy consumptions and total energy costs per kilogram and compact have been analyzed. T6 precipitation heat treatment applications have been applied with two different methods, one with 2.8 kW, 900 kHz ultra-high frequency induction heating system (UHFIHS), other with 2 kW chamber furnace. In the first method, Al-Cu PM compacts have been heated by induction at 580 degrees C in one minute and then cooled down by water. Afterwards, the samples have been heated 170, 180, 190 and 200 degrees C respectively for artificial ageing and cooled naturally. In the second treatment, unlike the first study, Al-Cu PM compacts are heated by chamber furnace at 540 degrees C in 5 hours and cooled by water. Then PM compacts are artificially aged at 190 degrees C in 10 hours with same furnace. During both processes, energy and power consumptions for each defined process have been measured. Optimum heat treatment of the induction is determined. The cheaper energy cost is obtained by the induction heat treatment.
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    Analysis of artificial aging with induction and energy costs of 6082 Al and 7075 Al materials
    Tastan, M; Gökozan, H; Çavdar, PS; Soy, G; Çavdar, U
    In the study, 6082 Al and 7075 Al samples were subjected to a solution taking place at 580 degrees C for 1 min using ultrahigh frequency induction heating system (UHFIHS) and water was supplied at the end of the process. Artificially aging was then carried out at 190 degrees C for 2, 4, 6 and 8 min. In both applications, heating was carried out using an induction system with a frequency of 900 kHz and a power of 2.8 kW. For these aluminum series and shapes, induction heating and heat treatment costs in different shapes are calculated. In addition, the hardness values obtained from artificially aged 6082 Al and 7075 Al samples at 190 degrees C for 10 h were compared with conventional methods after 5 h at 540 degrees C for 5 h. As a result, the hardness values of 6082 Al samples, which were obtained in 10 h by conventional methods, were obtained by artificial aging for only 8 min using induction system.
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    Heat Treatment of 2024 and 5083 Aluminum Materials by Induction, a Competitive Method, and Cost Analysis
    Çavdar, U; Tastan, M; Gökozan, H; Soy, G; Çavdar, PS
    In the study, 2024 Al and 5083 Al bulk samples were heated using two different methods, induction and conventional heat treatment. Using these methods, the processing cost and time analysis for both materials were performed. 5083 Al material cannot be heat-treated. However, to evaluate differences in the production cost of induction by changing the components of aluminum, the same procedures were applied to 5083 Al material. In both aluminum series, square, cylindrical, and hexagonal shapes were processed, and the effect of sample shape variations on cost was evaluated. The heat treatment was performed in a conventional kiln of 2 kW. Al materials were heat-treated for 5 h at 540 degrees C, and water was suddenly supplied. Then they were left in the kiln at 190 degrees C for 10 h for artificial aging. Al samples were heat-treated in the same way at 590 degrees C for 1 minute in the 900 kHz ultra-high frequency induction heating system (UHFIHS), which was fed with instant water. The samples were then artificially aged at four different heating durations varying between 2 and 8 minutes using the induction system. As a result of examining the production time and cost of both methods, it was found that the heat treatment of 2024 Al samples by induction was much more advantageous. Furthermore, when Al samples were heated by induction, shape differences and main alloy elements significantly affected power consumption values.
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    Comparative energy consumption analyses of an ultra high frequency induction heating system for material processing applications
    Tastan, M; Gökozan, H; Taskin, S; Çavdar, U
    This study compares an energy consumption results of the TI-6Al-4V based material processing under the 900 kHz induction heating for different cases. By this means, total power consumption and energy consumptions per sample and amount have been analyzed. Experiments have been conducted with 900 kHz, 2.8 kW ultra-high frequency induction system. Two cases are considered in the study. In the first case, TI-6Al-4V samples have been heated up to 900 degrees C with classical heating method, which is used in industrial applications, and then they have been cooled down by water. Afterwards, the samples have been heated up to 600 degrees C, 650 degrees C and 700 degrees C respectively and stress relieving process has been applied through natural cooling. During these processes, energy consumptions for each defined process have been measured. In the second case, unlike the first study, can be used five different samples have been heated up to the various temperatures between 600 degrees C and 1120 degrees C and energy consumptions have been measured for these processes. Thereby, the effect of temperature increase on each sample on energy cost has been analyzed. It has been seen that as a result of heating the titanium bulk materials, which have been used in the experiment, with ultra high frequency induction, temperature increase also increases the energy consumption. But it has been revealed that the increase rate in the energy consumption is more than the increase rate of the temperature.
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    Real-Time Monitoring of Indoor Air Quality with Internet of Things-Based E-Nose
    Tastan, M; Gökozan, H
    Today, air pollution is the biggest environmental health problem in the world. Air pollution leads to adverse effects on human health, climate and ecosystems. Air is contaminated by toxic gases released by industry, vehicle emissions and the increased concentration of harmful gases and particulate matter in the atmosphere. Air pollution can cause many serious health problems such as respiratory, cardiovascular and skin diseases in humans. Nowadays, where air pollution has become the largest environmental health risk, the interest in monitoring air quality is increasing. Recently, mobile technologies, especially the Internet of Things, data and machine learning technologies have a positive impact on the way we manage our health. With the production of IoT-based portable air quality measuring devices and their widespread use, people can monitor the air quality in their living areas instantly. In this study, e-nose, a real-time mobile air quality monitoring system with various air parameters such as CO2, CO, PM10, NO2 temperature and humidity, is proposed. The proposed e-nose is produced with an open source, low cost, easy installation and do-it-yourself approach. The air quality data measured by the GP2Y1010AU, MH-Z14, MICS-4514 and DHT22 sensor array can be monitored via the 32-bit ESP32 Wi-Fi controller and the mobile interface developed by the Blynk IoT platform, and the received data are recorded in a cloud server. Following evaluation of results obtained from the indoor measurements, it was shown that a decrease of indoor air quality was influenced by the number of people in the house and natural emissions due to activities such as sleeping, cleaning and cooking. However, it is observed that even daily manual natural ventilation has a significant improving effect on air quality.
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    Internet of Things based Smart Energy Management for Smart Home
    Tastan, M
    Thanks to internet, as one of indispensable parts of our lives, many devices that we use in our daily lives like TV, air conditioner, refrigerator, washing machine, can be monitored and controlled remotely by becoming more intelligent via Internet of Things (IoT) technology. Smart Home applications as one of the elements of smart cities, are individually the most demanded application without question. In this study, Smart Energy Management (SEM) system, based on NodeMCU and Android, has been designed for SEM, which is a part of the smart home application. With this system, household energy consumption can be monitored in real time, as well as having the ability to record the data comprising of operation times and energy consumption information for each device. Additionally, it is ensured to meet the energy needs on a maximized level possible, during the hours when the energy costs are lower owing to the SEM system. The Android interface provides the users with the opportunity to monitor and change their electricity consumption habits in order to optimize the energy efficiency, along with the opportunity to draw up of a daily and weekly schedule.
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    A low-cost air quality monitoring system based on Internet of Things for smart homes
    Tastan, M
    Global climate change and COVID-19 have changed our social and business life. People spend most of their daily lives indoors. Low-cost devices can monitor indoor air quality (IAQ) and reduce health problems caused by air pollutants. This study proposes a real-time and low-cost air quality monitoring system for smart homes based on Internet of Things (IoT). The developed IoT-based monitoring system is portable and provides users with real-time data transfer about IAQ. During the COVID-19 period, air quality data were collected from the kitchen, bedroom and balcony of their home, where a family of 5 spend most of their time. As a result of the analyzes, it has been determined that indoor particulate matter is mainly caused by outdoor infiltration and cooking emissions, and the CO2 value can rise well above the permissible health limits in case of insufficient ventilation due to night sleep activity. The obtained results show that the developed measuring devices may be suitable for measurement-based indoor air quality management. In addition, the proposed low-cost measurement system compared to existing systems; It has advantages such as modularity, scalability, low cost, portability, easy installation and opensource technologies.
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    Comparison of electrical energy consumption for different material processing procedures
    Gokozan, H; Tastan, M; Taskin, S; Cavdar, PS; Cavdar, U
    The aim of this study is to investigate the electrical energy consumption for different material processing methods. In these experiments, ferrous powder metals, bulk iron and bulk graphite materials are used. These different materials are heated, sintered and welded by using processes of ultra-high frequency induction heating (UHFIH), ultra-high frequency induction heating sintering (UHFIHS) and ultra-high frequency induction heating welding (UHFIHW), respectively. For all experiments, 2.8 kW, 900 kHz ultra-high frequency induction heating system is used. The experiments are conducted by LabVIEW (TM) based measurement and control system. Finally, all data are analyzed to show the energy efficiency of each process.