Pub Date : 2024-01-17DOI: 10.24018/ejeng.2024.9.1.3126
B. Suciu
In this study, a method to evaluate the electro-magnetic damping effect produced by the movement of a permanent magnet inside of a conductive pipe, is proposed. Neither the residual flux density of the magnet, nor the electric conductivity of the pipe is required, but instead, only the magnet height, the pipe length, and the falling time of the magnet inside the tube, are necessary to compute the damping coefficient. Accordingly, cylindrical neodymium magnets of close residual flux densities, but various diameters and heights, are tested against copper pipes of various thicknesses. Using the falling time measured for each magnet-pipe combination, the corresponding damping coefficient is computed, and the influence of various geometrical parameters on the damping coefficient is clarified. Clearance between the magnet and pipe is identified as essential to describe this damping phenomenon.
{"title":"Evaluation of the Damping Produced by the Motion of a Permanent Magnet inside of a Conductive Pipe","authors":"B. Suciu","doi":"10.24018/ejeng.2024.9.1.3126","DOIUrl":"https://doi.org/10.24018/ejeng.2024.9.1.3126","url":null,"abstract":"\u0000\u0000\u0000\u0000In this study, a method to evaluate the electro-magnetic damping effect produced by the movement of a permanent magnet inside of a conductive pipe, is proposed. Neither the residual flux density of the magnet, nor the electric conductivity of the pipe is required, but instead, only the magnet height, the pipe length, and the falling time of the magnet inside the tube, are necessary to compute the damping coefficient. Accordingly, cylindrical neodymium magnets of close residual flux densities, but various diameters and heights, are tested against copper pipes of various thicknesses. Using the falling time measured for each magnet-pipe combination, the corresponding damping coefficient is computed, and the influence of various geometrical parameters on the damping coefficient is clarified. Clearance between the magnet and pipe is identified as essential to describe this damping phenomenon.\u0000\u0000\u0000\u0000","PeriodicalId":12001,"journal":{"name":"European Journal of Engineering and Technology Research","volume":"231 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-01-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140504711","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}
Pub Date : 2024-01-09DOI: 10.24018/ejeng.2024.9.1.3107
Philippe Onguene Mvogo, I. Samomssa, Richard Domga, Mihaela Rodica Dinică, A. Cîrciumaru
This work focuses on the evaluation of the energy potential of cotton shells from SODECOTON and to predict suitable thermal conversion conditions. To achieve this goal, structural and proximate analyses were performed, while ultimate analysis, flue gas and higher heating value were calculated from models. This study reveals that cotton shells highly contain cellulose, volatile matter, lignin and carbon, which make it suitable for bioethanol, bio-oil/syngas and biochar production via biochemical and thermochemical technologies as well as fuel briquette. Heating value from cotton shell ranging from 17 MJ/kg to 19 MJ/kg, is set in the interval to be used as fuel. From the results, the value of flue gas is within acceptable limits and the pollutant emissions are less than the values of regulated threshold set. The energy potential released is around 1.30 GJ per year, 1.58 × 107 Nm3/year, 1.62 × 104 m3/year, 15.21 × E6 L and 26 × E6 L for annual combustion energy, syngas, methane, bioethanol and bio oil, respectively. Amongst them combustion via fuel briquette is suitable for less developing country such as Cameroon thus, it could supply 40% of cooking energy consumption in Garoua center town and can improve environmental sustainability in company.
{"title":"Prediction of Cotton Shell from Sodecoton Behavior in Thermal Conversion and Theoretical Energy Potential","authors":"Philippe Onguene Mvogo, I. Samomssa, Richard Domga, Mihaela Rodica Dinică, A. Cîrciumaru","doi":"10.24018/ejeng.2024.9.1.3107","DOIUrl":"https://doi.org/10.24018/ejeng.2024.9.1.3107","url":null,"abstract":"\u0000\u0000\u0000\u0000This work focuses on the evaluation of the energy potential of cotton shells from SODECOTON and to predict suitable thermal conversion conditions. To achieve this goal, structural and proximate analyses were performed, while ultimate analysis, flue gas and higher heating value were calculated from models. This study reveals that cotton shells highly contain cellulose, volatile matter, lignin and carbon, which make it suitable for bioethanol, bio-oil/syngas and biochar production via biochemical and thermochemical technologies as well as fuel briquette. Heating value from cotton shell ranging from 17 MJ/kg to 19 MJ/kg, is set in the interval to be used as fuel. From the results, the value of flue gas is within acceptable limits and the pollutant emissions are less than the values of regulated threshold set. The energy potential released is around 1.30 GJ per year, 1.58 × 107 Nm3/year, 1.62 × 104 m3/year, 15.21 × E6 L and 26 × E6 L for annual combustion energy, syngas, methane, bioethanol and bio oil, respectively. Amongst them combustion via fuel briquette is suitable for less developing country such as Cameroon thus, it could supply 40% of cooking energy consumption in Garoua center town and can improve environmental sustainability in company.\u0000\u0000\u0000\u0000","PeriodicalId":12001,"journal":{"name":"European Journal of Engineering and Technology Research","volume":" 29","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-01-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139628399","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}
Available water in natural sources at the Mayan community Ejido 20 de Noviembre presents extreme hardness; it exceeds the maximum limit established by Mexican regulations. Consequentially, the water found in these sources is not suitable for human consumption, a critical use for the villagers in drought seasons when water scarcity is more severe. Therefore, affordable alternatives are required to treat water resources that can be used locally. In this sense, the objective of the research was to develop a solar still prototype in order to test the technology’s performance in water treatment available in the community. The prototype development consisted of 6 stages: still model selection, dimension definition, 3D modeling, material selection, assembly, and prototype testing. The device testing at the community was carried out over a period of 3 days, during which well water with an initial hardness of 3500 mg/l CaCO3 was used. A significant hardness reduction was recorded after the solar distillation process, obtaining values of 119.3 mg/l CaCO3, which indicates that the solar distillation technology serves to reduce the water hardness of the community.
玛雅社区 Ejido 20 de Noviembre 的天然水源硬度极高，超过了墨西哥法规规定的最高限值。因此，这些水源中的水不适合人类饮用，而在缺水情况更为严重的干旱季节，这对村民来说是一个关键用途。因此，需要经济实惠的替代品来处理可在当地使用的水资源。从这个意义上说，研究的目的是开发太阳能蒸馏器原型，以测试该技术在社区水处理方面的性能。原型开发包括 6 个阶段：蒸馏器模型选择、尺寸定义、三维建模、材料选择、组装和原型测试。在社区进行的设备测试历时 3 天，期间使用了初始硬度为 3500 毫克/升 CaCO3 的井水。经过太阳能蒸馏过程后，硬度明显降低，达到 119.3 毫克/升 CaCO3，这表明太阳能蒸馏技术可以降低社区的水硬度。
{"title":"Construction of a Solar Still Prototype to Reduce Extreme Water Hardness in the Mayan Community Ejido 20 de Noviembre","authors":"Edrai Elburit Marines Castillo, Erick Iroel Heredia Carrillo, Claudia Garduño GarcÍa","doi":"10.24018/ejeng.2023.8.6.3115","DOIUrl":"https://doi.org/10.24018/ejeng.2023.8.6.3115","url":null,"abstract":"Available water in natural sources at the Mayan community Ejido 20 de Noviembre presents extreme hardness; it exceeds the maximum limit established by Mexican regulations. Consequentially, the water found in these sources is not suitable for human consumption, a critical use for the villagers in drought seasons when water scarcity is more severe. Therefore, affordable alternatives are required to treat water resources that can be used locally. In this sense, the objective of the research was to develop a solar still prototype in order to test the technology’s performance in water treatment available in the community. The prototype development consisted of 6 stages: still model selection, dimension definition, 3D modeling, material selection, assembly, and prototype testing. The device testing at the community was carried out over a period of 3 days, during which well water with an initial hardness of 3500 mg/l CaCO3 was used. A significant hardness reduction was recorded after the solar distillation process, obtaining values of 119.3 mg/l CaCO3, which indicates that the solar distillation technology serves to reduce the water hardness of the community.","PeriodicalId":12001,"journal":{"name":"European Journal of Engineering and Technology Research","volume":"1 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2023-11-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139278283","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}
Pub Date : 2023-11-06DOI: 10.24018/ejeng.2023.8.6.3100
A. A. A. Haj Ahmed, Mohammed Al-Mabrouk Abdulkarim, Al-Sadiq Amrajaa Mohammed
This study investigates the utilize of the iteration of matrix numerically to get the divergence speed of an aircraft tapered-unswept wing via using method of strip theory (without finite span correction and with finite span correction). The 2-D fluid flow across the wing airfoil section is assumed by the aerodynamic strip theory and then integrated over wing span. In the present work, first the tapered unswept wing is divided into four Multhopp’s stations. Then, elastic properties of this wing in relation to torsional influence coefficients related with this four Multhopp’s stations have been evaluated. Second, equations for equilibrium are constructed as integral equations. Then, an appropriate aerodynamic theory in the form of strip theory was addressed, as well as the technique of solution for determining the divergence speed. Finally, using strip theory, the integral equation has been expressed in matrix form. Iteration of matrix has been done using MATLAB environment to reach for the solution to converge. Also, an increase of 15% in torsional stiffness of aircraft wing has been considered to illustrate its effects on torsional divergence speed of aircraft wing. The attained results are going to be helpful in understanding of wing instability for modern aircraft designer.
{"title":"Divergence Structural Analysis of an Aircraft Tapered-Unswept Wing Using Aerodynamic Strip Theory for the Case of Flight at Sea Level","authors":"A. A. A. Haj Ahmed, Mohammed Al-Mabrouk Abdulkarim, Al-Sadiq Amrajaa Mohammed","doi":"10.24018/ejeng.2023.8.6.3100","DOIUrl":"https://doi.org/10.24018/ejeng.2023.8.6.3100","url":null,"abstract":"This study investigates the utilize of the iteration of matrix numerically to get the divergence speed of an aircraft tapered-unswept wing via using method of strip theory (without finite span correction and with finite span correction). The 2-D fluid flow across the wing airfoil section is assumed by the aerodynamic strip theory and then integrated over wing span. In the present work, first the tapered unswept wing is divided into four Multhopp’s stations. Then, elastic properties of this wing in relation to torsional influence coefficients related with this four Multhopp’s stations have been evaluated. Second, equations for equilibrium are constructed as integral equations. Then, an appropriate aerodynamic theory in the form of strip theory was addressed, as well as the technique of solution for determining the divergence speed. Finally, using strip theory, the integral equation has been expressed in matrix form. Iteration of matrix has been done using MATLAB environment to reach for the solution to converge. Also, an increase of 15% in torsional stiffness of aircraft wing has been considered to illustrate its effects on torsional divergence speed of aircraft wing. The attained results are going to be helpful in understanding of wing instability for modern aircraft designer.","PeriodicalId":12001,"journal":{"name":"European Journal of Engineering and Technology Research","volume":"15 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2023-11-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139287898","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}
Pub Date : 2023-11-06DOI: 10.24018/ejeng.2023.8.6.3106
Illia Tkalenko, Oleksii Kovtun, Nikita Koriuchev, Leonid Platonov, Daniel Shehovsov
The presence of zinc in metallurgical byproducts poses a constraint on their reutilisation within the realm of ferrous metallurgy. This study delves into the viable prospect of zinc extraction from briquettes manufactured through the auger pressing technique by pyrometallurgical methods. These briquettes are crafted from converter sludge, anthracite, and a multifaceted binding agent. The study encompasses laboratory and industrial trials, spanning the auger pressing technological line, and a tunnel kiln. The consequential outcome of this process yields metallized iron-infused briquettes, effectively purged of zinc content. These briquettes emerge as a propitious raw material option for steelmaking endeavours.
{"title":"Recovery of Zn from Auger Press Briquettes Made from Steelmaking Sludge","authors":"Illia Tkalenko, Oleksii Kovtun, Nikita Koriuchev, Leonid Platonov, Daniel Shehovsov","doi":"10.24018/ejeng.2023.8.6.3106","DOIUrl":"https://doi.org/10.24018/ejeng.2023.8.6.3106","url":null,"abstract":"The presence of zinc in metallurgical byproducts poses a constraint on their reutilisation within the realm of ferrous metallurgy. This study delves into the viable prospect of zinc extraction from briquettes manufactured through the auger pressing technique by pyrometallurgical methods. These briquettes are crafted from converter sludge, anthracite, and a multifaceted binding agent. The study encompasses laboratory and industrial trials, spanning the auger pressing technological line, and a tunnel kiln. The consequential outcome of this process yields metallized iron-infused briquettes, effectively purged of zinc content. These briquettes emerge as a propitious raw material option for steelmaking endeavours.","PeriodicalId":12001,"journal":{"name":"European Journal of Engineering and Technology Research","volume":"242 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-11-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"135685156","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}
This research paper explores the application of machine learning techniques to classify memory-based injection attacks. By leveraging process list data, the study focuses on distinguishing between injected and non-injected processes. Through feature engineering and training a machine learning model, the research aims to enable accurate identification of memory injection, aiding in proactive threat detection and mitigating the risk of malicious activities in computer systems.
{"title":"Classifying Memory Based Injections using Machine Learning","authors":"Doddagadduvalli Prasanna Amogh, Boraiah Ramesh, Rajanahally Jayakumar Bhuvan, Prasad Yash Vardhan, Anil Apekshith","doi":"10.24018/ejeng.2023.8.5.3077","DOIUrl":"https://doi.org/10.24018/ejeng.2023.8.5.3077","url":null,"abstract":"This research paper explores the application of machine learning techniques to classify memory-based injection attacks. By leveraging process list data, the study focuses on distinguishing between injected and non-injected processes. Through feature engineering and training a machine learning model, the research aims to enable accurate identification of memory injection, aiding in proactive threat detection and mitigating the risk of malicious activities in computer systems.","PeriodicalId":12001,"journal":{"name":"European Journal of Engineering and Technology Research","volume":"27 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-10-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"136106799","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}
Pub Date : 2023-10-20DOI: 10.24018/ejeng.2023.8.5.2983
Matthew Mackereth, Rong Kou, Sohail Anwar
With the advancement in the technology of lithium-ion batteries, the popularity and awareness of rechargeable, durable, long-lasting, and lightweight ion batteries have been in the public eye for a while now. Lithium-ion (Li-ion) is not the only type of ion battery out there. Zinc-ion (Zn-ion) batteries are a heavier, but safer, cheaper, and environmentally friendly form of this battery technology that has uses when portability is not the primary objective. One such use case is large format energy storage for intermittent renewable energy such as solar and wind fields for when the sun is no longer shining, or the wind blowing. One of the disadvantages of Zn-ion batteries is that the current battery life needs to be increased to stand a chance against Li-ion batteries in terms of consumer demands. This paper describes the effect of electrode structures and charging/discharging rates on battery cycle life in coin cells. The symmetric cell study shows that higher charging/discharging rates decrease the battery's cycle life, and the polymer-coated Zn anodes improve the battery's cycle life. It is also noted that maintaining good contact with all the major components in batteries is crucial for batteries to work properly. The battery-making process carried out in the lab and the important details of battery manufacturing are described in this manuscript.
{"title":"Zinc-Ion Battery Research and Development: A Brief Overview","authors":"Matthew Mackereth, Rong Kou, Sohail Anwar","doi":"10.24018/ejeng.2023.8.5.2983","DOIUrl":"https://doi.org/10.24018/ejeng.2023.8.5.2983","url":null,"abstract":"With the advancement in the technology of lithium-ion batteries, the popularity and awareness of rechargeable, durable, long-lasting, and lightweight ion batteries have been in the public eye for a while now. Lithium-ion (Li-ion) is not the only type of ion battery out there. Zinc-ion (Zn-ion) batteries are a heavier, but safer, cheaper, and environmentally friendly form of this battery technology that has uses when portability is not the primary objective. One such use case is large format energy storage for intermittent renewable energy such as solar and wind fields for when the sun is no longer shining, or the wind blowing. One of the disadvantages of Zn-ion batteries is that the current battery life needs to be increased to stand a chance against Li-ion batteries in terms of consumer demands. This paper describes the effect of electrode structures and charging/discharging rates on battery cycle life in coin cells. The symmetric cell study shows that higher charging/discharging rates decrease the battery's cycle life, and the polymer-coated Zn anodes improve the battery's cycle life. It is also noted that maintaining good contact with all the major components in batteries is crucial for batteries to work properly. The battery-making process carried out in the lab and the important details of battery manufacturing are described in this manuscript.","PeriodicalId":12001,"journal":{"name":"European Journal of Engineering and Technology Research","volume":"21 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-10-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"135567961","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}
Pub Date : 2023-10-18DOI: 10.24018/ejeng.2023.8.5.3103
Eke Roberts Ndukwe, Barilee Baridam
Cyber threats have become a threat to the banking industry, and resulting in the business attempting to implement artificial intelligence strategies while build resilient cyber-defense systems. This is done to ensure that unauthorized access, which leads to cyber-attacks, is severely limited. The credit trade is undergoing significant technical change. Because of this, crucial to comprehend implications a cyber threat, as well as how technologies implementation that is artificial intelligence will revolutionize entire sector. Paper aims at examining how AI affects cyber threat intelligence in the commerce subdivision. A graphical and qualitative analysis of available publications, primarily conference papers, was carried out. Despite being widely used in India and the United States, there are still few studies in the AI field. Furthermore, no study found that African banks used AI for cyber threat intelligence.
{"title":"A Graphical and Qualitative Review of Literature on AI-based Cyber-Threat Intelligence (CTI) in Banking Sector","authors":"Eke Roberts Ndukwe, Barilee Baridam","doi":"10.24018/ejeng.2023.8.5.3103","DOIUrl":"https://doi.org/10.24018/ejeng.2023.8.5.3103","url":null,"abstract":"Cyber threats have become a threat to the banking industry, and resulting in the business attempting to implement artificial intelligence strategies while build resilient cyber-defense systems. This is done to ensure that unauthorized access, which leads to cyber-attacks, is severely limited. The credit trade is undergoing significant technical change. Because of this, crucial to comprehend implications a cyber threat, as well as how technologies implementation that is artificial intelligence will revolutionize entire sector. Paper aims at examining how AI affects cyber threat intelligence in the commerce subdivision. A graphical and qualitative analysis of available publications, primarily conference papers, was carried out. Despite being widely used in India and the United States, there are still few studies in the AI field. Furthermore, no study found that African banks used AI for cyber threat intelligence.","PeriodicalId":12001,"journal":{"name":"European Journal of Engineering and Technology Research","volume":"143 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-10-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"135825429","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}
Pub Date : 2023-10-18DOI: 10.24018/ejeng.2023.8.5.3098
Mohamed Rezk, Hoda Abuzied
Regenerative braking systems (RBS) are a promising technology for recovering wasted kinetic energy during the braking process of electric vehicles. This energy can be stored in the vehicle’s battery for later use, reducing fuel consumption, prolonging travel distances, and reducing maintenance costs. RBS is particularly beneficial in heavy traffic, where the brakes are used more frequently. In this research, an artificial neural network (ANN) model was developed to predict the amount of the recovered current and stoppage time needed for different braking scenarios. The ANN model was trained using data from a developed MATLAB Simulink model that was used to investigate the effects of braking force capacity and vehicle running speed on RBS performance. The performance of the RBS was evaluated in terms of the amount of recovered current and the time needed for the vehicle to come to rest. The outputs from the Simulink model were validated statistically using Design Expert ANOVA analysis before being implemented in the ANN model. The results of this study showed that the ANN model was able to accurately predict the amount of the recovered current and the stoppage time needed for different braking scenarios. Hence ANN models can be considered an accurate flexible model that can be used to develop efficient and effective RBS controllers for electric vehicles.
{"title":"Artificial Neural Networks: A Promising Tool for Regenerative Braking Control in Electric Vehicles","authors":"Mohamed Rezk, Hoda Abuzied","doi":"10.24018/ejeng.2023.8.5.3098","DOIUrl":"https://doi.org/10.24018/ejeng.2023.8.5.3098","url":null,"abstract":"Regenerative braking systems (RBS) are a promising technology for recovering wasted kinetic energy during the braking process of electric vehicles. This energy can be stored in the vehicle’s battery for later use, reducing fuel consumption, prolonging travel distances, and reducing maintenance costs. RBS is particularly beneficial in heavy traffic, where the brakes are used more frequently. In this research, an artificial neural network (ANN) model was developed to predict the amount of the recovered current and stoppage time needed for different braking scenarios. The ANN model was trained using data from a developed MATLAB Simulink model that was used to investigate the effects of braking force capacity and vehicle running speed on RBS performance. The performance of the RBS was evaluated in terms of the amount of recovered current and the time needed for the vehicle to come to rest. The outputs from the Simulink model were validated statistically using Design Expert ANOVA analysis before being implemented in the ANN model. The results of this study showed that the ANN model was able to accurately predict the amount of the recovered current and the stoppage time needed for different braking scenarios. Hence ANN models can be considered an accurate flexible model that can be used to develop efficient and effective RBS controllers for electric vehicles.","PeriodicalId":12001,"journal":{"name":"European Journal of Engineering and Technology Research","volume":"40 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-10-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"135943621","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}
Pub Date : 2023-10-16DOI: 10.24018/ejeng.2023.8.5.3101
Blenard Xhaferaj
Minimising ship resistance is considered a crucial aspect of the design process, as it impacts fuel consumption during the operational phase, which in turn impacts financial and environmental aspects. Minimising the resistance is a complex issue, because different main geometrical characteristics of the hull, such as dimensional ratios, form coefficients, shape of sections and waterlines, longitudinal centre of buoyancy LCB, etc., may affect its value. In the early design stage, computational tools based on parametric models for the prediction of resistance can be used because they provide rapid evaluation of resistance within an acceptable accuracy level. The paper aims to present a computer-based methodology for studying the effect of LCB position on ship resistance at the early design stage. The tool used for the analyses is a software developed by the author based on regression models for the prediction of resistance. The methodology was illustrated with a case study analysis of a hull of the well-known Ridgely-Nevitt fishing vessel series. For the hull taken in consideration, the results of the analysis showed that the hull with the LCB positioned at −2% of the LPP aft amidships exhibited minimal resistance characteristics.
{"title":"A Computer-Based Analysis to Study the Effect of LCB Position on Ship Resistance in the Early Design Stage: A Case Study with a Fishing Vessel Hull","authors":"Blenard Xhaferaj","doi":"10.24018/ejeng.2023.8.5.3101","DOIUrl":"https://doi.org/10.24018/ejeng.2023.8.5.3101","url":null,"abstract":"Minimising ship resistance is considered a crucial aspect of the design process, as it impacts fuel consumption during the operational phase, which in turn impacts financial and environmental aspects. Minimising the resistance is a complex issue, because different main geometrical characteristics of the hull, such as dimensional ratios, form coefficients, shape of sections and waterlines, longitudinal centre of buoyancy LCB, etc., may affect its value. In the early design stage, computational tools based on parametric models for the prediction of resistance can be used because they provide rapid evaluation of resistance within an acceptable accuracy level. The paper aims to present a computer-based methodology for studying the effect of LCB position on ship resistance at the early design stage. The tool used for the analyses is a software developed by the author based on regression models for the prediction of resistance. The methodology was illustrated with a case study analysis of a hull of the well-known Ridgely-Nevitt fishing vessel series. For the hull taken in consideration, the results of the analysis showed that the hull with the LCB positioned at −2% of the LPP aft amidships exhibited minimal resistance characteristics.","PeriodicalId":12001,"journal":{"name":"European Journal of Engineering and Technology Research","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-10-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"136142561","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}
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