European Journal of Technic最新文献_第2页

Leakage-free Wood-Derived Activated Carbon/Methyl Palmitate composite phase change material for thermal management applications 用于热管理应用的无泄漏木质活性炭/棕榈酸甲酯复合相变材料

European Journal of Technic Pub Date : 2023-11-01 DOI: 10.36222/ejt.1293404

G. Hekimoğlu

{"title":"Leakage-free Wood-Derived Activated Carbon/Methyl Palmitate composite phase change material for thermal management applications","authors":"G. Hekimoğlu","doi":"10.36222/ejt.1293404","DOIUrl":"https://doi.org/10.36222/ejt.1293404","url":null,"abstract":"This study aimed to create a leakage-free composite phase change material (PCM) that has high potential for various thermal management applications. Activated carbon derived from wood (ACW) with a porous structure was used to address the leakage issue and improve the thermal conductivity of Methyl palmitate (MPt) used as the PCM. The optimum MPt impregnation ratio was found to be 53 wt% in the leakage-free ACW/MPt composite. The results of FTIR analysis showed that the integration of MPt and ACW was achieved through physical interaction. Scanning electron microscopy (SEM) analysis indicated that MPt was uniformly distributed within pores of the ACW scaffold. DSC analyses demonstrated that the fusion enthalpy and temperature of the ACW/MPt (53 wt%) were 129 J/g and 27.59 °C, respectively. Thermal gravimetric analysis (TGA) measurements confirmed that the ACW/MPt was thermally stable. By incorporating MPt with ACW, thermal conductivity of MPt was increased by 2.16 times. The fusion enthalpy of ACW/MPt did not change, and the melting temperature remained constant after 750 thermal cycles. The results of this study indicate that the fabricated leak-free ACW/MPt is cost-effective and environmentally friendly and has the potential to be utilized as a thermal energy storage (TES) material for temperature regulation in various applications.","PeriodicalId":413929,"journal":{"name":"European Journal of Technic","volume":"6 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2023-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139300123","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}

引用次数: 0

A Deep Learning Approach for Motor Fault Detection using Mobile Accelerometer Data 利用移动加速度计数据进行电机故障检测的深度学习方法

European Journal of Technic Pub Date : 2023-10-27 DOI: 10.36222/ejt.1336342

Merve Ertarğin, Turan Gürgenç, Özal Yildirim, Ahmet Orhan

{"title":"A Deep Learning Approach for Motor Fault Detection using Mobile Accelerometer Data","authors":"Merve Ertarğin, Turan Gürgenç, Özal Yildirim, Ahmet Orhan","doi":"10.36222/ejt.1336342","DOIUrl":"https://doi.org/10.36222/ejt.1336342","url":null,"abstract":"Electrical machines, which provide many conveniences in our daily life, may experience malfunctions that may adversely affect their performance and the general functioning of the industrial processes in which they are used. These failures often require maintenance or repair work, which can be expensive and time consuming. Therefore, minimizing the risk of malfunctions and failures and ensuring that these machines operate reliably and efficiently play a critical role for the industry. In this study, a one-dimensional convolutional neural network (1D-CNN) based fault diagnosis model is proposed for electric motor fault detection. Motor vibration data was chosen as the input data of the 1D-CNN model. Motor vibration data was obtained from a mobile application developed by using the three-axis accelerometer of the mobile phone. Three-axis data (X-axis, Y-axis and Z-axis) were fed to the model, both separately and together, to perform motor fault detection. The results showed that even a single axis data provides error-free diagnostics. With this fault detection method, which does not require any connection on or inside the motor, the fault condition in an electric motor has been detected with high accuracy.","PeriodicalId":413929,"journal":{"name":"European Journal of Technic","volume":"18 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2023-10-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139312748","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}

引用次数: 0

Production of CuNiSi Composites by Powder Metallurgy Method: Effects of Ti on the Microstructural and Corrosion Properties 用粉末冶金法生产铜镍硅复合材料：钛对微观结构和腐蚀特性的影响

European Journal of Technic Pub Date : 2023-10-24 DOI: 10.36222/ejt.1372650

C. Özorak, T. M. K. Tabonah, M. Akkaş

引用次数: 0

ICT-Based Vehicle-to-Grid Operation Based on the Fast Discharge Power for Economic Value 基于信息和通信技术的车辆并网运行--基于快速放电以实现经济价值

European Journal of Technic Pub Date : 2023-10-04 DOI: 10.36222/ejt.1362587

S. Amamra, Hakan Kızmaz

引用次数: 0

Leader-Follower Based Formation Control of Heterogeneous UAV-AGV Multi-Agent System 基于领导者-追随者的异构 UAV-AGV 多代理系统编队控制

European Journal of Technic Pub Date : 2023-09-05 DOI: 10.36222/ejt.1350641

Kadir Aram, Abdulmelik Bekmez

引用次数: 0

Cosistency Axioms of Choice for Ismail’s Entropy Formalism(IEF) Combined with Information-Theoretic(IT) Applications to advance 6G Networks 伊斯梅尔熵形式主义（IEF）的一致性公理选择与信息论（IT）应用相结合，推动 6G 网络发展

European Journal of Technic Pub Date : 2023-08-30 DOI: 10.36222/ejt.1299311

Ismail A MAGEED

引用次数: 0

Artificial Intelligence-Based Tools in Software Development Processes: Application of ChatGPT 软件开发过程中基于人工智能的工具：ChatGPT 的应用

European Journal of Technic Pub Date : 2023-08-24 DOI: 10.36222/ejt.1330631

Z. Özpolat, Özal Yildirim, M. Karabatak

{"title":"Artificial Intelligence-Based Tools in Software Development Processes: Application of ChatGPT","authors":"Z. Özpolat, Özal Yildirim, M. Karabatak","doi":"10.36222/ejt.1330631","DOIUrl":"https://doi.org/10.36222/ejt.1330631","url":null,"abstract":"Software development processes are continuously evolving and rapidly transforming alongside the rapid changes in technology. Recently, innovations in the field of Artificial Intelligence (AI) have led to significant changes in software development practices. AI tools can greatly enhance traditional software development processes by offering developers the ability to create projects more intelligently, swiftly, and effectively. These tools can be employed in various tasks, such as code generation, test automation, error analysis, and performance improvements. Particularly, ChatGPT, an AI-based language model that has had a profound impact on almost every domain, can assist software developers in writing code faster and in a more natural language manner. In this research article, essential information about the usage of ChatGPT in the software development process is presented. To evaluate some capabilities of ChatGPT in the software development context, applications were performed on a software project. For this purpose, a software development process was constructed based on the responses provided by ChatGPT. Various questions related to software development processes were formulated, and the responses generated by GPT were evaluated. The obtained results indicated that ChatGPT exhibited excellent performance in the software development process. Based on these findings, it was observed that AI-based models like ChatGPT could be effectively utilized as assisting tools in software development processes, accelerating traditional workflows. Furthermore, AI-based tools can automate testing processes, enhancing software quality while saving time and effort.","PeriodicalId":413929,"journal":{"name":"European Journal of Technic","volume":"70 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2023-08-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139349297","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}

引用次数: 0

Determining the Advantages of a Linear Driven 3-Axis Industrial Robot by Structural and Force Analysis 通过结构和力分析确定线性驱动三轴工业机器人的优势

European Journal of Technic Pub Date : 2023-08-18 DOI: 10.36222/ejt.1230193

Savaş Koç, İdris Şani̇

引用次数: 0

MATLAB/Simulink Modeling of Regenerative Recovery Circuit with Bidirectional DC-DC Converter for Scooter 带双向 DC-DC 转换器的踏板车再生恢复电路的 MATLAB/Simulink 建模

European Journal of Technic Pub Date : 2023-07-06 DOI: 10.36222/ejt.1316098

Ali Sinan Cabuk

引用次数: 0

Teaching Algorithms Design Approaches via Interactive Jupyter Notebooks 基于交互式Jupyter笔记本的教学算法设计方法

European Journal of Technic Pub Date : 2023-06-30 DOI: 10.36222/ejt.1320404

Oguzhan Topsakal

{"title":"Teaching Algorithms Design Approaches via Interactive Jupyter Notebooks","authors":"Oguzhan Topsakal","doi":"10.36222/ejt.1320404","DOIUrl":"https://doi.org/10.36222/ejt.1320404","url":null,"abstract":"Interactive learning environments play a crucial role in facilitating effective education. Traditional approaches to teaching algorithm design techniques often lack interactivity, resulting in a limited learning experience. In this article, we propose the utilization of Jupyter Notebooks, renowned for their versatility in combining code, visualizations, and explanations, as a powerful tool for enhancing understanding and promoting an engaging learning experience in teaching algorithm design techniques. We provide a comprehensive structure for a Jupyter Notebook page, encompassing problem descriptions, brute force solutions, algorithm design techniques, application areas, and references, to present a thorough solution for computer science problems using these design techniques. Our study includes experiments conducted with computer science students, demonstrating the practical application of Jupyter Notebooks in algorithm design education. Furthermore, we share sample Jupyter Notebooks for popular algorithm design techniques, including Divide & Conquer, Greedy, Dynamic Programming, and Backtracking. Importantly, we emphasize the significance of interactive comparisons between brute force solutions and algorithm design techniques, which foster valuable learning opportunities by providing insights into performance improvements, complexity analysis, validation, optimization strategies, trade-offs, and a deeper understanding of algorithmic principles. In conclusion, we propose the integration of Jupyter Notebooks as a potent tool for teaching algorithm design approaches, empowering learners to actively engage with the material, visualize complex concepts, and collaborate effectively. By incorporating Jupyter Notebooks into algorithm design education, instructors can enhance students' comprehension, cultivate critical thinking skills, and facilitate a profound understanding of algorithmic principles and optimization strategies.","PeriodicalId":413929,"journal":{"name":"European Journal of Technic","volume":"22 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-06-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127701044","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}

引用次数: 0