European Journal of Technic最新文献

{"title":"Investigating the Impact of Hydrogen Gas Moisture Content on Electricity Generation in PEM Fuel Cells","authors":"B. Dalğiç, Selman Aydın","doi":"10.36222/ejt.1393629","DOIUrl":"https://doi.org/10.36222/ejt.1393629","url":null,"abstract":"In the realm of energy sources, non-renewable fossil fuels, such as petroleum derivatives, continue to pose a significant threat to our planet. Currently, hydrogen energy, derived from renewable sources, is under extensive research, primarily due to its high efficiency, versatile applications, and zero carbon emissions. Hydrogen gas has become an indispensable alternative energy source owing to its numerous advantages. The technology that enables efficient utilization of hydrogen gas as an energy source is fuel cells, with Polymer Electrolyte Membrane Fuel Cells (PEM Fuel Cells) being the most significant advancement in this field. In this study, anode and cathode moisture levels were investigated by experimental study on the obtained efficiency of PEM fuel cell performance. Pure hydrogen and oxygen gases were used in the anode and cathode sections of the experiment, respectively. The test stand and a 6 cell 35 watt fuel cell with 9 cm2 active area were used for the test. Temperature and water accumulation, especially humidification in PEM fuel cells, can be achieved by keeping the hydrogen flow, oxygen flow and battery temperature under control. In the experimental study, the fuel cell humidification rate is gradually increased by keeping the flow and line temperature constant. 30% - 35% - 40% - 45% - 50% - 55% - 60% - 65% - 70% of the results obtained in the voltage, amperage and their effects on watts. As a result of the experimental study, humidification rate has a significant effect on the performance of PEM fuel cell. With the increased humidification temperature, the performance of the installed system increased significantly and nominal values were found. However, it is observed that the performance decreases after a certain period of time in the values higher than 60%.","PeriodicalId":413929,"journal":{"name":"European Journal of Technic","volume":" 21","pages":""},"PeriodicalIF":0.0,"publicationDate":"2023-12-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139142810","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"The Investigation Of Performance And Emission Characteristics Of Waste Transmission Oil On A Diesel Engine","authors":"Mehmet Işik, Serkan Demi̇r","doi":"10.36222/ejt.1294386","DOIUrl":"https://doi.org/10.36222/ejt.1294386","url":null,"abstract":"Environmental issues such as ever-increasing energy demand, declining fossil fuel deposits, global warming and higher levels of air pollution necessitate the transition to renewable fuels. It is necessary to develop a cleaner, safer, sustainable and renewable alternative for fossil fuels. For the production of such fuels using thermochemical processes, it is important to use products with a fuel potential in a waste state. In this context, it is proposed to convert waste transmission oil. Accordingly, in the study, diesel fuel was produced from waste transmission oil by pyrolysis method. The fuel produced is a mixture of diesel with waste transmission oil, 80% diesel and 20% waste transmission oil. Engine tests were carried out with the use of the produced mixture fuel and pure diesel fuel in a diesel generator engine and the necessary comparisons were carried out. In the study, emission tests were performed. In the scope of emission tests, the changes of carbon monoxide (CO), carbon dioxide (CO2), hydrocarbons (HC), nitrogen oxides (NOX) and Oxygen (O2) emissions depending on the engine load were investigated. Finally, in order to determine the performance parameters of the fuels, tests were performed for three different parameters. These tests are listed as fuel consumption, specific fuel consumption and effective efficiency measurement and calculation. According to the test results obtained, it can be said that the waste transmission oil-doped mixture fuel produced can be used instead of diesel fuel for its intended purpose.","PeriodicalId":413929,"journal":{"name":"European Journal of Technic","volume":"20 24","pages":""},"PeriodicalIF":0.0,"publicationDate":"2023-12-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139147816","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Changes in The Electrical Output Power and Efficiency of A Photovoltaic Panel Cooled by A Hybrid Method","authors":"Ömer Karaozan, M. E. Asker","doi":"10.36222/ejt.1404493","DOIUrl":"https://doi.org/10.36222/ejt.1404493","url":null,"abstract":"During the process of generating electrical energy from photovoltaic panels, high ambient temperatures and radiation tend to cause excessive heating of the photovoltaic panel, resulting in a decrease in its efficiency. In this experimental study, two cooling methods were employed. The first method involved active cooling using water, while the second method combined active cooling with passive cooling using an aluminum heat sink, all while using water as the cooling medium. The experiment involved the analysis of changes in electrical output power and efficiency from three identical 100 W monocrystalline photovoltaic panels, one of which served as the reference. The first panel was considered the reference panel. The second panel featured active cooling, with a liquid reservoir created on its rear surface to be filled with transformer oil. Copper pipes were placed at specific intervals within this liquid reservoir, and the rear surface was covered with a thin flat metal plate. The third panel was prepared for the hybrid method, featuring a liquid reservoir covered with a rectangular finned aluminum heat sink, distinct from the second panel. In both methods, transformer oil was used for electrical insulation and thermal conduction between the panel and the copper pipes at the rear. The copper pipes were connected to an automotive radiator and a pump to form a closed circuit. The water inside the radiator was cooled using a radiator fan and circulated by a pump. In the first method, active cooling was achieved by cooling through the radiator, while in the hybrid method, active cooling through the radiator was combined with passive cooling using the rectangular finned aluminum heat sink. In the experiment setup, temperature and liquid flow were measured using radiation, electrical sensors, and other measuring instruments. The data obtained from the measurements were used to compare the increases in electrical power and efficiency of the panels. The electrical power increase and efficiency were calculated as follows: in the hybrid method, it was found to be 4.7% and 0.84%, respectively, while in the active method, it was 2.94% and 0.52%, respectively. The energy consumed in the study was provided by wind energy","PeriodicalId":413929,"journal":{"name":"European Journal of Technic","volume":"26 2","pages":""},"PeriodicalIF":0.0,"publicationDate":"2023-12-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139147721","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Design and Testing of a Wireless Communication Enabled FPGA Development Board: A Comprehensive Education and Application Platform from IoT to Circuit Design","authors":"Nebi Karagedi̇k, Sezen Bal, Ayse Yayla","doi":"10.36222/ejt.1399107","DOIUrl":"https://doi.org/10.36222/ejt.1399107","url":null,"abstract":"Field Programmable Gate Array (FPGA) is an integrated circuit (IC) that can be reprogrammed or configured by the customer or designer after production for rapid prototyping and post-process development. In this study, a cost-effective FPGA development board is designed to create basic engineering education applications and implement them in real-time. The FPGA development board utilizes an Altera Cyclone IV E-series chip and includes Bluetooth and Wi-Fi modules to provide a wider range of applications. This integration simplifies the use of wireless communication in various projects and applications for researchers and engineers. To verify the accuracy of the proposed board, simulations of selected digital designs and Bluetooth applications were first performed in VHDL (Very High Speed Integrated Circuit Hardware Description Language) using Intel® Quartus® Prime Lite Edition software. Then, experiments were performed on the board following the pin assignment configurations. It was observed that the developed applications worked successfully on the FPGA development board. As a result, this board, equipped with Bluetooth and Wi-Fi modules, offers a fast and cost-effective solution for users in various fields such as mobile, robotics, smart home systems, and remote monitoring and control devices","PeriodicalId":413929,"journal":{"name":"European Journal of Technic","volume":"9 4","pages":""},"PeriodicalIF":0.0,"publicationDate":"2023-12-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139153867","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Data Management and Ontology Development for Provenance-Aware Organizations in Linked Data Space","authors":"Fatih Soygazi, Tugkan Tuglular, Oğuz Di̇kenelli̇","doi":"10.36222/ejt.1402149","DOIUrl":"https://doi.org/10.36222/ejt.1402149","url":null,"abstract":"The need to track the origin of shared data/datasets has become apparent, highlighting the necessity of monitoring factors such as trust related to the data/datasets with the widespread use of social media. The concept of Linked Data Space needs to be considered in conjunction with organizations and their provenance with respect to their origin assuming that the shared data is semantic and considering organizations' access to relevant semantic data. In this context, this study elaborates on the concept of Linked Data Space, introducing the terms Internal Data and External Data to the literature. An architecture for Linked Data Space and data management for organizations is defined in addition to these concepts. Furthermore, the study explains how organizations can access External Data in the Linked Data Space and how provenance metadata and ontologies will be created. These developed methods are illustrated in the News Aggregator Scenario, a main scenario for provenance, demonstrating how it can work in a use case.","PeriodicalId":413929,"journal":{"name":"European Journal of Technic","volume":"92 4","pages":""},"PeriodicalIF":0.0,"publicationDate":"2023-12-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139154827","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Comparison of Road Luminance Data Estimated by Fuzzy Logic and ANN, A Case study of Kocaeli Sakıp Sabancı Caddesi","authors":"Züleyha OK DAVARCI, Onur Akar, Ümit Terzi̇","doi":"10.36222/ejt.1401466","DOIUrl":"https://doi.org/10.36222/ejt.1401466","url":null,"abstract":"Road lighting constitutes the most important part of city lighting. While correct road lighting solves the chaos in transportation, it also paves the way for smooth urban traffic flow. It also allows people to have a comfortable and safe journey. In order to reduce accidents in the evening hours, safe driving and visual comfort must be provided to drivers. Just like inadequate road lighting, excessive lighting also causes accidents and waste of electrical energy. Good visibility of objects on the road and visual comfort for drivers is possible by ensuring an equal brightness distribution on the road surface. In this article, a prediction model was created with Artificial Neural Network (ANN) and Fuzzy Logic (FL) methods to find the luminance values of the road in Sakıp Sabancı street in Kocaeli province. When the predictions obtained by ANN and FL were compared, the results were seen to be accurate and compatible. When the estimation results obtained as a result of the application were examined, it was observed that the estimation of luminance values in good and qualified road lighting could be achieved with these methods.","PeriodicalId":413929,"journal":{"name":"European Journal of Technic","volume":"35 3","pages":""},"PeriodicalIF":0.0,"publicationDate":"2023-12-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139166801","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Performance Evaluation of Capuchin Search Algorithm Through Non-linear Problems, and Optimization of Gear Train Design Problem","authors":"Erdal Eker","doi":"10.36222/ejt.1391524","DOIUrl":"https://doi.org/10.36222/ejt.1391524","url":null,"abstract":"The purpose of this paper is to demonstrate the superiority of the Capuchin Search Algorithm (CapSA), a metaheuristic, in competitive environments and its advantages in optimizing engineering design problems. To achieve this, the CEC 2019 function set was used. Due to the challenging characteristics of the CEC 2019 function set in reaching a global solution, it effectively showcases the algorithm's quality. For this comparison, sea-horse optimizer (SHO), grey wolf optimizer (GWO), sine-cosine algorithm (SCA), and smell agent optimization (SAO) were chosen as current and effective alternatives to the CapSA algorithm. Furthermore, the gear train design problem (GTD) was selected as an engineering design problem. In addition to the CapSA algorithm, a hybrid of SCA and GWO algorithm (SC-GWO) and genetic algorithm (GA) were chosen as alternatives for optimizing this problem. The performance superiority and optimization power of the CapSA algorithm were assessed using statistical metrics and convergence curves, then compared with alternative algorithms. Experimental results conclusively demonstrate the significant effectiveness and advantages of the CapSA algorithm.","PeriodicalId":413929,"journal":{"name":"European Journal of Technic","volume":"104 5","pages":""},"PeriodicalIF":0.0,"publicationDate":"2023-12-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139166884","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Detection of Shadow IT Incidents for Centralized IT Management in Enterprises using Statistical and Machine Learning Algorithms","authors":"Mucahit Kutsal, Bihter Das, Ziya Aşkar, Ali Necdet Güverci̇n, Resul Daş","doi":"10.36222/ejt.1382461","DOIUrl":"https://doi.org/10.36222/ejt.1382461","url":null,"abstract":"Software as a Service (SaaS) is a software service where software solutions are offered to users via the internet, usually subscription-based or sometimes opened to access by selling a license key, distributed over the cloud, and updates are automatically delivered to users because they are distributed over the cloud. The number of SaaS provider companies is increasing day by day, and with this increase, unauthorized purchase of SaaS applications has become a problem for corporate-sized companies. Without the company's approval, SaaS software and hardware used by employees increase Shadow IT which means there is a potential risk of security breaches, data loss, and compliance issues as the IT department is unaware of the usage and unable to monitor and control the systems effectively. In this study, in order to avoid the problems that may be caused by Shadow IT, unauthorized SaaS applications in Arçelik Global have been detected by utilizing statistical and machine learning approaches. In the experiment, Interquartile Range, K-Means and Stabilization algorithms were used for the detection of unauthorized SaaS applications. Using all three algorithms, low, medium and high-risk shadow IT detection was made for Arçelik company. We see that the proposed stabilization approach explores unauthorized SaaS applications much more distinctively than the other two algorithms. The proposed approach can be used in the future to detect unauthorized software from other companies.","PeriodicalId":413929,"journal":{"name":"European Journal of Technic","volume":"230 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2023-11-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139228105","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Multilayer LSTM Model for Wind Power Estimation in the Scada System","authors":"S. B. Çelebi, Ömer Ali Karaman","doi":"10.36222/ejt.1382837","DOIUrl":"https://doi.org/10.36222/ejt.1382837","url":null,"abstract":"Wind energy is clean energy that does not pollute the environment. However, the complex and variable operating environment of a wind turbine often makes it difficult to predict the instantaneous active power generated. In this study, a wind turbine active power estimation system based on a short-term memory network (LSTM) using time series analysis is proposed. The data obtained from the wind turbine SCADA system is used as input variables. In the proposed method, a multilayer LSTM architecture is designed to train the model. The first LSTM network consists of 64 units, and the second one consists of 32 units. This is followed by a dense layer consisting of 16 neurons. In the last layer, the architecture is finalized by using a linear activation function for the prediction process. The proposed deep learning (DL)-based LSTM prediction model takes into account environmental factors such as wind speed and wind direction for active power forecasting. The results show that the LSTM-based time series analysis method is capable of effectively capturing time series features among the data. Thus, the proposed architecture can realize high-accuracy active power forecasting.","PeriodicalId":413929,"journal":{"name":"European Journal of Technic","volume":"35 3","pages":""},"PeriodicalIF":0.0,"publicationDate":"2023-11-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139237609","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Twin Rotor Control via Second Order Sliding Modes","authors":"Hasan Ömür Özer, Yuksel Hacioglu, N. Yagiz","doi":"10.36222/ejt.1381813","DOIUrl":"https://doi.org/10.36222/ejt.1381813","url":null,"abstract":"The control problem of a twin rotor system is considered in this study. Since the twin rotor system has highly nonlinear and coupled dynamics, a second order sliding mode controller is proposed which reduces chattering. An estimation for the equivalent part of the controller is also proposed. The classical sliding controller is also calculated and adapted to the twin-rotor system to compare. The numerical results presented that the designed controller achieved superior performance than the classical sliding mode controller in terms of reference tracking and chatter attenuation.","PeriodicalId":413929,"journal":{"name":"European Journal of Technic","volume":"48 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2023-11-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139256747","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}