Jorge González-Coneo, Camilo Gonzalez-Olier, C. Pedraza-Yepes, Ó. Higuera-Cobos, A. Troncoso-Palacio
The estimation of the elastic recovery is of great importance during the planning of plastic deformation processes, because this estimation could reduce the number of required steps to reach the target geometry. The sheet bending process is one of the most widely used industrial processes, and that is why this paper seeks to provide an analytical model based on an elastic behavior with potential hardening of the material that could be combined with the geometric information of the process to estimate the degree of recovery of the components. The potential hardening model was selected due to its simplicity and good fit with the experimental data observed in steel sheets in this application. The effectiveness of the model was compared with the results obtained by several authors. The effectiveness of the model is significantly influenced by the parameters of the bending process and the method used to estimate the radius of curvature.
{"title":"ANALYTICAL METHOD FOR ELASTIC RECOVERY PREDICTION OF AIR BENDING SHEET","authors":"Jorge González-Coneo, Camilo Gonzalez-Olier, C. Pedraza-Yepes, Ó. Higuera-Cobos, A. Troncoso-Palacio","doi":"10.5937/jaes0-39481","DOIUrl":"https://doi.org/10.5937/jaes0-39481","url":null,"abstract":"The estimation of the elastic recovery is of great importance during the planning of plastic deformation processes, because this estimation could reduce the number of required steps to reach the target geometry. The sheet bending process is one of the most widely used industrial processes, and that is why this paper seeks to provide an analytical model based on an elastic behavior with potential hardening of the material that could be combined with the geometric information of the process to estimate the degree of recovery of the components. The potential hardening model was selected due to its simplicity and good fit with the experimental data observed in steel sheets in this application. The effectiveness of the model was compared with the results obtained by several authors. The effectiveness of the model is significantly influenced by the parameters of the bending process and the method used to estimate the radius of curvature.","PeriodicalId":35468,"journal":{"name":"Journal of Applied Engineering Science","volume":" 8","pages":""},"PeriodicalIF":0.0,"publicationDate":"2023-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"138616244","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 study presents a statistical analysis applying different statistical techniques, including trained Bayesian Networks an artificial intelligence (AI) method, to explore datasets of lift accidents involving safety rules for two countries: UK and France. The study concerns six years data for both countries and covers almost all elevator accidents taken place during private and professional uses; 218 cases for UK and 205 cases for France. The relevant time interval for U.K. is 6th January 2006 to 29th December 2012, while for France data concern the period of 18th February 2003 to 17th December 2009. The major aim of the study is to exhibit and demonstrate that for accident datasets, at least for similar datasets, multiple statistical methods have to be applied in order to extract reliable information, i.e. investigate interactions among factors and therefore help to develop prevention measures. Three statistical models were built to derive associations between factors concerning violation of rules related to the installation and maintenance of elevators, passengers’ safety rules, risks and unforeseen circumstances. Associations between severity of injury and categories of gender or age of injured people have been found. Furthermore, specific influences between severity of injury and categories of type of rules or of type of accident have been identified. The obtained results will contribute to the design of efficient methods to avoid future accidents in both countries.
{"title":"STATISTICAL AND AI MODELING OF UK AND FRANCE ELEVATOR ACCIDENTS AND THEIR VIOLATING SAFETY RULES","authors":"Vasilios Zarikas, Moldir Zholdasbayeva, Ayan Mitra","doi":"10.5937/jaes0-41112","DOIUrl":"https://doi.org/10.5937/jaes0-41112","url":null,"abstract":"This study presents a statistical analysis applying different statistical techniques, including trained Bayesian Networks an artificial intelligence (AI) method, to explore datasets of lift accidents involving safety rules for two countries: UK and France. The study concerns six years data for both countries and covers almost all elevator accidents taken place during private and professional uses; 218 cases for UK and 205 cases for France. The relevant time interval for U.K. is 6th January 2006 to 29th December 2012, while for France data concern the period of 18th February 2003 to 17th December 2009. The major aim of the study is to exhibit and demonstrate that for accident datasets, at least for similar datasets, multiple statistical methods have to be applied in order to extract reliable information, i.e. investigate interactions among factors and therefore help to develop prevention measures. Three statistical models were built to derive associations between factors concerning violation of rules related to the installation and maintenance of elevators, passengers’ safety rules, risks and unforeseen circumstances. Associations between severity of injury and categories of gender or age of injured people have been found. Furthermore, specific influences between severity of injury and categories of type of rules or of type of accident have been identified. The obtained results will contribute to the design of efficient methods to avoid future accidents in both countries.","PeriodicalId":35468,"journal":{"name":"Journal of Applied Engineering Science","volume":"10 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2023-11-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139228784","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}
Arunkumar Y M, Shrilaxmi Prashanth, Poornachandra Pandit, Girish M G, Amogh Shetty
The article conducts a comprehensive examination of various aspects related to rebar corrosion, encompassing the corrosion mechanism, its implications on design criteria, the modeling of bond interfaces under both corroded and non-corroded conditions, and the modeling of reinforced concrete (RC) beams affected by corrosion, employing both empirical and analytical methodologies. The initial stages of corrosion instigate a gradual transformation of rebar into rust. One notable consequence of reinforcement corrosion is the generation of expansive pressure, leading to concrete cracking, spalling, and detachment of the concrete cover. Additionally, it diminishes the effective cross-sectional area of the rebar, ultimately resulting in a decline in the concrete's bond strength and gradual structural deterioration. Ultimately, continuous corrosion can lead to a complete loss of bond between the concrete and rebar, representing the most severe form of damage attributable to corrosion. This poses a critical threat, particularly in cases where the beam functions as an unreinforced structure, potentially culminating in sudden structural failure. This paper primarily underscores the utilization of the Finite Element Method (FEM) for evaluating the impact of bond deterioration between concrete and reinforcement caused by corrosion. The paper effectively employs this technique to predict and analyze the structural damage in corroded RC beam specimens.
{"title":"FINITE ELEMENT ANALYSIS OF BOND BEHAVIOR IN CORRODED REINFORCED CONCRETE BEAMS: STATE-OF-THE-ART","authors":"Arunkumar Y M, Shrilaxmi Prashanth, Poornachandra Pandit, Girish M G, Amogh Shetty","doi":"10.5937/jaes0-42252","DOIUrl":"https://doi.org/10.5937/jaes0-42252","url":null,"abstract":"The article conducts a comprehensive examination of various aspects related to rebar corrosion, encompassing the corrosion mechanism, its implications on design criteria, the modeling of bond interfaces under both corroded and non-corroded conditions, and the modeling of reinforced concrete (RC) beams affected by corrosion, employing both empirical and analytical methodologies. The initial stages of corrosion instigate a gradual transformation of rebar into rust. One notable consequence of reinforcement corrosion is the generation of expansive pressure, leading to concrete cracking, spalling, and detachment of the concrete cover. Additionally, it diminishes the effective cross-sectional area of the rebar, ultimately resulting in a decline in the concrete's bond strength and gradual structural deterioration. Ultimately, continuous corrosion can lead to a complete loss of bond between the concrete and rebar, representing the most severe form of damage attributable to corrosion. This poses a critical threat, particularly in cases where the beam functions as an unreinforced structure, potentially culminating in sudden structural failure. This paper primarily underscores the utilization of the Finite Element Method (FEM) for evaluating the impact of bond deterioration between concrete and reinforcement caused by corrosion. The paper effectively employs this technique to predict and analyze the structural damage in corroded RC beam specimens.","PeriodicalId":35468,"journal":{"name":"Journal of Applied Engineering Science","volume":"14 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2023-11-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139231805","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}
Driving quality and vehicles safety of hybrid electric vehicles (HEVs) are two hot-topic issues in automobile technology. Nowadays, research focuses to more intelligent and convenient HEVs fault detection methods. This paper will focus on the fault detection of HEV powertrain system with a data-driven algorithm. Orthonormal subspace analysis (OSA) is a newly proposed data-driven method which adds the ability of fault separation. Nonetheless, the linear OSA algorithm cannot effectively detect powertrain system faults, since these faults present complex nonlinear characteristics. A new kernel OSA (KOSA) method is proposed to transform the nonlinear problem into a linear problem through the mapping of kernel function and the dimensionality reduction technique of OSA. Testing results on a nonlinear model and real samples of XMQ6127AGCHEVN61 HEV show that KOSA address the nonlinear problems and it performs better than OSA and kernel principal component analysis (KPCA).
混合动力电动汽车（HEV）的驾驶质量和车辆安全是汽车技术领域的两大热点问题。目前，研究的重点是更智能、更便捷的 HEV 故障检测方法。本文将利用数据驱动算法重点研究混合动力汽车动力总成系统的故障检测。正交子空间分析（OSA）是一种新提出的数据驱动方法，它增加了故障分离的能力。然而，线性 OSA 算法无法有效检测动力总成系统故障，因为这些故障具有复杂的非线性特征。本文提出了一种新的核 OSA（KOSA）方法，通过核函数的映射和 OSA 的降维技术将非线性问题转化为线性问题。在非线性模型和 XMQ6127AGCHEVN61 HEV 真实样本上的测试结果表明，KOSA 可以解决非线性问题，其性能优于 OSA 和核主成分分析 (KPCA)。
{"title":"FAULT DETECTION AND SEPARATION OF HYBRID ELECTRIC VEHICLES BASED ON KERNEL ORTHOGONAL SUBSPACE ANALYSIS","authors":"Yonghui Wang, Syamsunur Deprizon, Cong Peng, Zhiming Zhang","doi":"10.5937/jaes0-45837","DOIUrl":"https://doi.org/10.5937/jaes0-45837","url":null,"abstract":"Driving quality and vehicles safety of hybrid electric vehicles (HEVs) are two hot-topic issues in automobile technology. Nowadays, research focuses to more intelligent and convenient HEVs fault detection methods. This paper will focus on the fault detection of HEV powertrain system with a data-driven algorithm. Orthonormal subspace analysis (OSA) is a newly proposed data-driven method which adds the ability of fault separation. Nonetheless, the linear OSA algorithm cannot effectively detect powertrain system faults, since these faults present complex nonlinear characteristics. A new kernel OSA (KOSA) method is proposed to transform the nonlinear problem into a linear problem through the mapping of kernel function and the dimensionality reduction technique of OSA. Testing results on a nonlinear model and real samples of XMQ6127AGCHEVN61 HEV show that KOSA address the nonlinear problems and it performs better than OSA and kernel principal component analysis (KPCA).","PeriodicalId":35468,"journal":{"name":"Journal of Applied Engineering Science","volume":"13 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2023-11-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139228829","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}
Efficiency is the capability of a port or terminal to fit the optimum number of inputs to a given output level. In principle, there are three required elements for measuring efficiency: decision making unit (DMU), output variables, and input variables. The measurement of efficiency in production units and the identification of sources of their inefficiency is a precondition to improve performance of any production unit in a competitive environment. Many research studies have been conducted around the world for efficiency assessment in the maritime sector, including ports/terminals utilizing different methods, but in the significant percentage of those studies have been used Data Envelopment Analysis (DEA) and DEA-based approaches. After some general theoretical considerations on port/terminal efficiency and standard approaches for its measuring, elements related to a research of seaport terminals overall efficiency, using DEA-CCR input oriented method is shown. Four port terminals are taken into consideration and their efficiency scores are calculated using appropriate software, based on established data series - values of input/output variables - related to the cargo handling system in the Port of Bar (Montenegro).
效率是指港口或码头在给定的产出水平上适应最佳投入数量的能力。原则上，衡量效率需要三个要素：决策单元（DMU）、产出变量和投入变量。衡量生产单位的效率并找出其效率低下的根源，是在竞争环境中提高任何生产单位绩效的先决条件。世界上有许多关于海运业效率评估的研究，包括利用不同方法进行的港口/码头效率评估，但其中很大一部分研究都采用了数据包络分析（DEA）和基于 DEA 的方法。在对港口/码头效率及其衡量标准方法进行了一些一般性理论考虑之后，介绍了使用 DEA-CCR 输入导向法研究海港码头整体效率的相关要素。根据与巴尔港（黑山）货物装卸系统有关的既定数据系列--输入/输出变量值，考虑了四个港口码头，并使用适当的软件计算了它们的效率分数。
{"title":"DEFINING TERMINALS` EFFICIENCY IN A SEAPORT USING DATA ENVELOPMENT ANALYSIS","authors":"Deda Djelovic","doi":"10.5937/jaes0-44322","DOIUrl":"https://doi.org/10.5937/jaes0-44322","url":null,"abstract":"Efficiency is the capability of a port or terminal to fit the optimum number of inputs to a given output level. In principle, there are three required elements for measuring efficiency: decision making unit (DMU), output variables, and input variables. The measurement of efficiency in production units and the identification of sources of their inefficiency is a precondition to improve performance of any production unit in a competitive environment. Many research studies have been conducted around the world for efficiency assessment in the maritime sector, including ports/terminals utilizing different methods, but in the significant percentage of those studies have been used Data Envelopment Analysis (DEA) and DEA-based approaches. After some general theoretical considerations on port/terminal efficiency and standard approaches for its measuring, elements related to a research of seaport terminals overall efficiency, using DEA-CCR input oriented method is shown. Four port terminals are taken into consideration and their efficiency scores are calculated using appropriate software, based on established data series - values of input/output variables - related to the cargo handling system in the Port of Bar (Montenegro).","PeriodicalId":35468,"journal":{"name":"Journal of Applied Engineering Science","volume":"1 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2023-11-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139232349","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 aims to evaluate the fulfillment criteria of road performance indicators in the current long segment scheme in Indonesia by considering road performance indicators in other countries in PMBC. The research utilized the Confirmatory Factor Analysis (CFA) model in Structural Equation Modeling (SEM). The respondents were service providers and users, and the sampling technique was random. The study found that all significant road performance indicators affect the latent variable, based on the evaluation of road performance indicators listed in the 2018 Revision 2 General Specification of the Ministry of Public Works and Housing that are currently in effect. The CFA on 40 road performance indicators indicates that nine indicators do not have a significant influence on road performance. Therefore, only 31 indicators are proposed concerning response time. In addition, new road performance indicators, such as uneven patching, raveling, and dirty drainage, are proposed to be included. Response time to the indicators also needs to be updated based on service users' and providers' questionnaire survey results. This study provides valuable information for policymakers and stakeholders to improve road preservation outcomes in Indonesia.
{"title":"ENHANCING ROAD PERFORMANCE MEASUREMENT IN INDONESIA: PROPOSED CHANGES AND FUTURE DIRECTIONS","authors":"Tisara Sita, Agus Taufik Mulyono, S. Utomo","doi":"10.5937/jaes0-44367","DOIUrl":"https://doi.org/10.5937/jaes0-44367","url":null,"abstract":"This research aims to evaluate the fulfillment criteria of road performance indicators in the current long segment scheme in Indonesia by considering road performance indicators in other countries in PMBC. The research utilized the Confirmatory Factor Analysis (CFA) model in Structural Equation Modeling (SEM). The respondents were service providers and users, and the sampling technique was random. The study found that all significant road performance indicators affect the latent variable, based on the evaluation of road performance indicators listed in the 2018 Revision 2 General Specification of the Ministry of Public Works and Housing that are currently in effect. The CFA on 40 road performance indicators indicates that nine indicators do not have a significant influence on road performance. Therefore, only 31 indicators are proposed concerning response time. In addition, new road performance indicators, such as uneven patching, raveling, and dirty drainage, are proposed to be included. Response time to the indicators also needs to be updated based on service users' and providers' questionnaire survey results. This study provides valuable information for policymakers and stakeholders to improve road preservation outcomes in Indonesia.","PeriodicalId":35468,"journal":{"name":"Journal of Applied Engineering Science","volume":"50 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2023-11-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139235251","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}
In recent years, the global energy demand, particularly the usage of fossil fuels as motor vehicle propellants such as gasoline and diesel, had steadily increased. This surge in consumption, alongside the burgeoning vehicle count, resulted in a depletion of petroleum reserves. Consequently, exploring alternative fuel sources became imperative. Hydrogen gas, derived from water through water electrolysis using an HHO generator, emerged as a promising alternative. This research investigated the impact of diverse copper and stainless-steel electrodes in varied electrolyte solutions and electrical currents for generating HHO gas. Employing an experimental methodology, the study modified an existing HHO generator, reassembling it with different materials based on the experimental design. Subsequent testing and data collection revealed that the highest flow rate of HHO gas, at 0.000807564 m3/s, occurred using stainless-steel electrodes with an electrical current of 50 A and a 50% NaOH concentration. The study concluded that the size of the electric current and the amount of NaOH significantly influenced the speed of HHO gas flow, indicating a direct relationship between these factors and gas production.
{"title":"INVESTIGATION OF HYDROGEN GAS PRODUCTION USING COPPER AND STAINLESS-STEEL ELECTRODES WITH VARIED ELECTRICAL CURRENT AND NaOH CATALYST CONCENTRATION","authors":"Sugeng Hadi Susilo, G. Gumono, Agus Setiawan","doi":"10.5937/jaes0-45549","DOIUrl":"https://doi.org/10.5937/jaes0-45549","url":null,"abstract":"In recent years, the global energy demand, particularly the usage of fossil fuels as motor vehicle propellants such as gasoline and diesel, had steadily increased. This surge in consumption, alongside the burgeoning vehicle count, resulted in a depletion of petroleum reserves. Consequently, exploring alternative fuel sources became imperative. Hydrogen gas, derived from water through water electrolysis using an HHO generator, emerged as a promising alternative. This research investigated the impact of diverse copper and stainless-steel electrodes in varied electrolyte solutions and electrical currents for generating HHO gas. Employing an experimental methodology, the study modified an existing HHO generator, reassembling it with different materials based on the experimental design. Subsequent testing and data collection revealed that the highest flow rate of HHO gas, at 0.000807564 m3/s, occurred using stainless-steel electrodes with an electrical current of 50 A and a 50% NaOH concentration. The study concluded that the size of the electric current and the amount of NaOH significantly influenced the speed of HHO gas flow, indicating a direct relationship between these factors and gas production.","PeriodicalId":35468,"journal":{"name":"Journal of Applied Engineering Science","volume":"6 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2023-11-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139235374","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}
Asrori Asrori, Y. A. Winoko, S. Subagiyo, I. H. Eryk, Pondi Udianto
Solar energy has great potential for utilization as an unlimited and alternative renewable energy source that can be stored in batteries and used to drive the BLDC motor on electric bicycles. The purpose of this study was to determine the charging efficiency of a 100 Wp solar panel mounted on an electric bicycle. A solar power meter was used to measure the solar radiation absorbed by the photovoltaic (PV) module, while sensors were used to measure the current and voltage (DC) output from the solar panels. The sensor signals were then processed by a microcontroller and displayed on an LCD screen, as well as recorded by an SD card data logger. The characteristics of the charging voltage were compared with and without the PV module. The results showed that at a solar radiation of 1008 W/m², the maximum voltage and current achieved were 17.49 V and 3.37 A, respectively. Under these conditions, the battery charging efficiency of a 100 Wp solar panel was 58.94%. A one-hour test with an average solar radiation of 976.3 W/m² showed that integrating a 100 Wp PV module increased the energy stored in the e-bike battery by 33.33%. Therefore, the hybrid solar e-bike concept has the potential to improve the performance of electric vehicles in the future.
{"title":"DESIGN AND DEVELOPMENT OF HYBRID SOLAR E-BIKE FOR SUSTAINABLE GREEN TRANSPORTATION","authors":"Asrori Asrori, Y. A. Winoko, S. Subagiyo, I. H. Eryk, Pondi Udianto","doi":"10.5937/jaes0-45297","DOIUrl":"https://doi.org/10.5937/jaes0-45297","url":null,"abstract":"Solar energy has great potential for utilization as an unlimited and alternative renewable energy source that can be stored in batteries and used to drive the BLDC motor on electric bicycles. The purpose of this study was to determine the charging efficiency of a 100 Wp solar panel mounted on an electric bicycle. A solar power meter was used to measure the solar radiation absorbed by the photovoltaic (PV) module, while sensors were used to measure the current and voltage (DC) output from the solar panels. The sensor signals were then processed by a microcontroller and displayed on an LCD screen, as well as recorded by an SD card data logger. The characteristics of the charging voltage were compared with and without the PV module. The results showed that at a solar radiation of 1008 W/m², the maximum voltage and current achieved were 17.49 V and 3.37 A, respectively. Under these conditions, the battery charging efficiency of a 100 Wp solar panel was 58.94%. A one-hour test with an average solar radiation of 976.3 W/m² showed that integrating a 100 Wp PV module increased the energy stored in the e-bike battery by 33.33%. Therefore, the hybrid solar e-bike concept has the potential to improve the performance of electric vehicles in the future.","PeriodicalId":35468,"journal":{"name":"Journal of Applied Engineering Science","volume":"33 16","pages":""},"PeriodicalIF":0.0,"publicationDate":"2023-11-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139237940","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}
Petr Bykov, Alexey Bogomolov, Alya Bitkeyeva, Renat Nurgozhin
The article examines the issue of involving primary steelmaking slag in the processing with the extraction of iron and the production of slag, which can be used in the manufacture of construction products. Currently, primary steel slag is not used for the production of construction products due to the large amount of iron, and its use is limited to road construction and in most cases, primary slag is sent to landfills. In the Pavlodar region of the Republic of Kazakhstan, during steel production at electric steelmaking enterprises, the resulting electric furnace slag and dust are stored in slag dumps. They are practically not used, despite their high content of iron oxides and metallic iron particles (up to 40% by weight in some types of slag). The work experimentally determined the chemical and mineralogical composition of primary electric furnace slag with a total iron content of more than 20%. The slag contains the following minerals: wüstite (FeO), magnetite (Fe3O4), gehlenite (Ca2Al(Al,Si)2O7), merwinite (Ca3Mg(SiO4)2). In the course of experimental studies on the recycling of primary electric furnace smelting slags by reduction induction melting of slag-lime-coke pellets, the possibility of extracting iron in the form of iron-carbon alloys and using the slags for the production of concrete was established.
{"title":"RESEARCH OF IRON EXTRACTION FROM PRIMARY STEELMAKING SLAG","authors":"Petr Bykov, Alexey Bogomolov, Alya Bitkeyeva, Renat Nurgozhin","doi":"10.5937/jaes0-44128","DOIUrl":"https://doi.org/10.5937/jaes0-44128","url":null,"abstract":"The article examines the issue of involving primary steelmaking slag in the processing with the extraction of iron and the production of slag, which can be used in the manufacture of construction products. Currently, primary steel slag is not used for the production of construction products due to the large amount of iron, and its use is limited to road construction and in most cases, primary slag is sent to landfills. In the Pavlodar region of the Republic of Kazakhstan, during steel production at electric steelmaking enterprises, the resulting electric furnace slag and dust are stored in slag dumps. They are practically not used, despite their high content of iron oxides and metallic iron particles (up to 40% by weight in some types of slag). The work experimentally determined the chemical and mineralogical composition of primary electric furnace slag with a total iron content of more than 20%. The slag contains the following minerals: wüstite (FeO), magnetite (Fe3O4), gehlenite (Ca2Al(Al,Si)2O7), merwinite (Ca3Mg(SiO4)2). In the course of experimental studies on the recycling of primary electric furnace smelting slags by reduction induction melting of slag-lime-coke pellets, the possibility of extracting iron in the form of iron-carbon alloys and using the slags for the production of concrete was established.","PeriodicalId":35468,"journal":{"name":"Journal of Applied Engineering Science","volume":"23 3","pages":""},"PeriodicalIF":0.0,"publicationDate":"2023-11-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139251225","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}
A. Machfudin, A.A.B. Dinariyana, Dian Purnama Sari
Verification and validation (V&V) are essential processes in computational simulations that aim to evaluate the accuracy and reliability of the results compared to experimental data. The quantification of error and uncertainty estimates is crucial in V&V. In this particular study, the open water test of a four-bladed B-series propeller model at 1/6.98 scale was conducted for three advanced coefficients (J = 0.50, J = 0.60, and J = 0.70) at the Indonesian Hydrodynamic Laboratory (IHL). The simulation was conducted under experimental conditions using FINE/Marine 7.2. Verification was performed to estimate the error and the numerical uncertainty USN according to the ITTC convergence ratio R and order of accuracy . The average uncertainty estimated for the thrust and torque coefficient was found to be between 1.72% to 4.81%, with a 95% confidence level. Reducing errors and uncertainties associated with verification and validation in open-water experiments can increase the reliability of numerical simulations.
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