Pub Date : 2024-01-01DOI: 10.59324/ejaset.2023.1(1).05
Zubairu Zulyadain, J. M. Yelwa, Shuaibu Abdullahi, Ibrahim Umar Gwangwazo, Omolade Ojo
This study aimed to investigate the properties of benzoyl chloride modified and unmodified poly lactic acid and sugarcane bagasse fibre composites (PLA/SCBF), as well as the impact of chemical treatment on the mechanical and biodegradation properties of these composites. In this study, Fourier Transform Infrared (FTIR) Spectroscopy was employed to examine the benzoyl chloride modified and unmodified fibre samples. Additionally, Scanning Electron Microscope (SEM) and Thermal Gravimetric Analysis (TGA) techniques were utilised to investigate the morphology and thermal behaviour of the Poly lactic/SCBF composites. The results indicate that the use of benzoyl chloride treatment resulted in an increase in the tensile, flexural characteristics, impact strength, and hardness strength. The treatment with benzoyl chloride resulted in a reduction in both water absorption and biodegradability. The research also elucidated the impact of increasing the quantity of sugar cane bagasse on the aforementioned qualities. The addition of SCBF at higher loading resulted in a decrease in the tensile strength, biodegradability, flexural strength, and impact strength. The water absorption and hardness exhibited a positive correlation with the increase in fibre loading. The observed improvement in mechanical characteristics indicates that the treatment effectively enhanced the interfacial adhesion between SCBF and the PLA matrix. The enhancement of the interfacial adhesive forces was observed by the examination of scanning electron microscopy (SEM) micrographs. The Fourier Transform Infrared (FTIR) spectrum of the treated solvent-cast bamboo fibre (SCBF) exhibited the presence of a benzoyl group attached to the fibre, indicating successful benzoyl chloride treatment. Additionally, a modest reduction in hemicellulose content was seen following the treatment. The thermal characteristics of the modified PLA/SCBF composites were found to be enhanced based on the results obtained from the TGA-DTA analysis.
{"title":"Effect of Benzoyl Chloride and Fiber Loading on Mechanical Properties and Biodegradation of Poly Lactic Acid/Sugarcane Bagasse Fibre Composites","authors":"Zubairu Zulyadain, J. M. Yelwa, Shuaibu Abdullahi, Ibrahim Umar Gwangwazo, Omolade Ojo","doi":"10.59324/ejaset.2023.1(1).05","DOIUrl":"https://doi.org/10.59324/ejaset.2023.1(1).05","url":null,"abstract":"This study aimed to investigate the properties of benzoyl chloride modified and unmodified poly lactic acid and sugarcane bagasse fibre composites (PLA/SCBF), as well as the impact of chemical treatment on the mechanical and biodegradation properties of these composites. In this study, Fourier Transform Infrared (FTIR) Spectroscopy was employed to examine the benzoyl chloride modified and unmodified fibre samples. Additionally, Scanning Electron Microscope (SEM) and Thermal Gravimetric Analysis (TGA) techniques were utilised to investigate the morphology and thermal behaviour of the Poly lactic/SCBF composites. The results indicate that the use of benzoyl chloride treatment resulted in an increase in the tensile, flexural characteristics, impact strength, and hardness strength. The treatment with benzoyl chloride resulted in a reduction in both water absorption and biodegradability. The research also elucidated the impact of increasing the quantity of sugar cane bagasse on the aforementioned qualities. The addition of SCBF at higher loading resulted in a decrease in the tensile strength, biodegradability, flexural strength, and impact strength. The water absorption and hardness exhibited a positive correlation with the increase in fibre loading. The observed improvement in mechanical characteristics indicates that the treatment effectively enhanced the interfacial adhesion between SCBF and the PLA matrix. The enhancement of the interfacial adhesive forces was observed by the examination of scanning electron microscopy (SEM) micrographs. The Fourier Transform Infrared (FTIR) spectrum of the treated solvent-cast bamboo fibre (SCBF) exhibited the presence of a benzoyl group attached to the fibre, indicating successful benzoyl chloride treatment. Additionally, a modest reduction in hemicellulose content was seen following the treatment. The thermal characteristics of the modified PLA/SCBF composites were found to be enhanced based on the results obtained from the TGA-DTA analysis.","PeriodicalId":517802,"journal":{"name":"European Journal of Applied Science, Engineering and Technology","volume":"99 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140525003","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 : 2024-01-01DOI: 10.59324/ejaset.2024.2(1).02
Ahmed Raza, Guangjie Liu, J. M. Adeke, Jie Cheng, Danish Attique
Forecasting passenger flow at metro transit stations is a useful method for optimizing the organization of passenger transportation and enhancing operational safety and transportation efficiency. Aiming at the problem that the traditional ARIMA model has poor performance in predicting passenger flow, a hybrid prediction method based on ARIMA-Kalman filtering is proposed. In this regard, ARIMA model training experimental samples are integrated with Kalman filter to create a prediction recursion equation, which is then utilized to estimate passenger flow. The simulation experiment results based on the inbound passenger flow data of Nanjing metro station show that compared with the single ARIMA model, the root mean square error of the prediction results of the proposed ARIMA-Kalman filter hybrid algorithm is reduced by 257.106, and the mean absolute error decreased by 145. 675, the mean absolute percentage error dropped by 5. 655%, proving that the proposed hybrid algorithm has higher prediction accuracy. The experiment results based on the passenger flow data of Nanjing metro station show that compared to a single ARIMA model, the proposed ARIMA Kalman filtering hybrid algorithm reduces the root mean square error of the prediction results by 257.106, the average absolute error by 145.675, and the average absolute percentage error by 5.655%. It has been proven that the proposed hybrid algorithm has higher prediction accuracy.
{"title":"Passenger Flow Prediction Method based on Hybrid Algorithm: Intelligent Transportation System","authors":"Ahmed Raza, Guangjie Liu, J. M. Adeke, Jie Cheng, Danish Attique","doi":"10.59324/ejaset.2024.2(1).02","DOIUrl":"https://doi.org/10.59324/ejaset.2024.2(1).02","url":null,"abstract":"Forecasting passenger flow at metro transit stations is a useful method for optimizing the organization of passenger transportation and enhancing operational safety and transportation efficiency. Aiming at the problem that the traditional ARIMA model has poor performance in predicting passenger flow, a hybrid prediction method based on ARIMA-Kalman filtering is proposed. In this regard, ARIMA model training experimental samples are integrated with Kalman filter to create a prediction recursion equation, which is then utilized to estimate passenger flow. The simulation experiment results based on the inbound passenger flow data of Nanjing metro station show that compared with the single ARIMA model, the root mean square error of the prediction results of the proposed ARIMA-Kalman filter hybrid algorithm is reduced by 257.106, and the mean absolute error decreased by 145. 675, the mean absolute percentage error dropped by 5. 655%, proving that the proposed hybrid algorithm has higher prediction accuracy. The experiment results based on the passenger flow data of Nanjing metro station show that compared to a single ARIMA model, the proposed ARIMA Kalman filtering hybrid algorithm reduces the root mean square error of the prediction results by 257.106, the average absolute error by 145.675, and the average absolute percentage error by 5.655%. It has been proven that the proposed hybrid algorithm has higher prediction accuracy.","PeriodicalId":517802,"journal":{"name":"European Journal of Applied Science, Engineering and Technology","volume":"29 5","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140519909","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 : 2024-01-01DOI: 10.59324/ejaset.2024.2(1).05
Huynh Van Cong
By basing on the same physical model and treatment method, as used in our recent works [1, 2, 3, 4, 5], we will investigate the critical impurity densities in the metal-insulator transition (MIT), obtained in three n(p)-type degenerate [GaAs1−xTex,GaAs1−xTex,GaAs1−xTex]- crystalline alloys, 0≤x≤1, being due to the effects of the size of donor (acceptor) d(a)-radius, rd(a), the x-Ge concentration, and finally the high d(a)-density, N, assuming that all the impurities are ionized even at T=0 K. In such n(p)-type degenerate crystalline alloys, we will determine:(i)-the critical impurity densities NCDn(CDp)(rd(a),x) in the MIT, as that given in Eq. (10), by using an empirical Mott parameter
基于我们最近的研究成果[1, 2, 3, 4, 5]中使用的相同物理模型和处理方法，我们将研究在三种 n(p) 型退化[GaAs1-xTex,GaAs1-xTex,GaAs1-xTex]晶体合金（0≤x≤1）中获得的金属-绝缘体转变（MIT）临界杂质密度、GaAs1-xTex、GaAs1-xTex]- 晶体合金（0≤x≤1）中得到的临界杂质密度，这是由于供体（受体）d(a)半径 rd(a)、x-Ge 浓度以及高 d(a)-density N 的影响造成的。在这种 n（p）型退化结晶合金中，我们将通过使用经验莫特参数来确定：(i) MIT 中的临界杂质密度 NCDn（CDp）（rd（a），x），如公式 (10) 所示
{"title":"Critical Impurity Densities in the Mott Metal-Insulator Transition, Obtained in Three n(p) - Type Degenerate GaAS1-xTex(Sbx,Px)-Crystalline Alloys","authors":"Huynh Van Cong","doi":"10.59324/ejaset.2024.2(1).05","DOIUrl":"https://doi.org/10.59324/ejaset.2024.2(1).05","url":null,"abstract":"By basing on the same physical model and treatment method, as used in our recent works [1, 2, 3, 4, 5], we will investigate the critical impurity densities in the metal-insulator transition (MIT), obtained in three n(p)-type degenerate [GaAs1−xTex,GaAs1−xTex,GaAs1−xTex]- crystalline alloys, 0≤x≤1, being due to the effects of the size of donor (acceptor) d(a)-radius, rd(a), the x-Ge concentration, and finally the high d(a)-density, N, assuming that all the impurities are ionized even at T=0 K. In such n(p)-type degenerate crystalline alloys, we will determine:(i)-the critical impurity densities NCDn(CDp)(rd(a),x) in the MIT, as that given in Eq. (10), by using an empirical Mott parameter","PeriodicalId":517802,"journal":{"name":"European Journal of Applied Science, Engineering and Technology","volume":"19 6","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140517551","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 : 2024-01-01DOI: 10.59324/ejaset.2024.2(1).04
Mehdi Huseynov, Natig Hamidov, J. Eyvazov
PVT analysis is important for field-wide optimization and development. This is because we must understand the fluid's overall behavior from the reservoir to the production and processing facilities, and ultimately to the refinery. Modern computer software that uses equation of state (EOS) models to simulate experiments and illustrate fluid phase characteristics has contributed to its growth as a distinct field of study. To find the operating parameters that will maximize the surface liquid content and prolong the production plateau duration at the lowest feasible cost, PVT simulations are run. These simulations employ laboratory-derived data to fine-tune the EOS models, with the outcomes being integrated into reservoir simulation and research. The quality of the data is crucial to getting a good match between EOS and laboratory data, and for retrograde gas condensates, this can be particularly difficult because of their complex phase behavior. When utilized in reservoir simulations, an inadequate match leads to computational mistakes and unrepresentative findings, endangering the reservoir management decisions that depend on it.
PVT 分析对于整个油田的优化和开发非常重要。这是因为我们必须了解流体从储层到生产和加工设施，最终到炼油厂的整体行为。现代计算机软件使用状态方程（EOS）模型来模拟实验并说明流体相位特征，这促使其发展成为一个独特的研究领域。为了找到能以最低可行成本获得最大表面液体含量并延长生产高原持续时间的操作参数，需要进行 PVT 模拟。这些模拟利用实验室数据对 EOS 模型进行微调，并将结果纳入储层模拟和研究中。数据的质量对于 EOS 与实验室数据的良好匹配至关重要，而对于逆行气体凝析物来说，由于其复杂的相态行为，这一点尤为困难。在储层模拟中使用时，不适当的匹配会导致计算错误和不具代表性的结果，从而危及储层管理决策。
{"title":"European Journal of Applied Science, Engineering and Technology www.ejaset.com 26 Construction of Numerical PVT-Models for the Bulla-Daniz Gas-Condensate Field Based on Laboratory Experiments on Reservoir Fluid Samples","authors":"Mehdi Huseynov, Natig Hamidov, J. Eyvazov","doi":"10.59324/ejaset.2024.2(1).04","DOIUrl":"https://doi.org/10.59324/ejaset.2024.2(1).04","url":null,"abstract":"PVT analysis is important for field-wide optimization and development. This is because we must understand the fluid's overall behavior from the reservoir to the production and processing facilities, and ultimately to the refinery. Modern computer software that uses equation of state (EOS) models to simulate experiments and illustrate fluid phase characteristics has contributed to its growth as a distinct field of study. To find the operating parameters that will maximize the surface liquid content and prolong the production plateau duration at the lowest feasible cost, PVT simulations are run. These simulations employ laboratory-derived data to fine-tune the EOS models, with the outcomes being integrated into reservoir simulation and research. The quality of the data is crucial to getting a good match between EOS and laboratory data, and for retrograde gas condensates, this can be particularly difficult because of their complex phase behavior. When utilized in reservoir simulations, an inadequate match leads to computational mistakes and unrepresentative findings, endangering the reservoir management decisions that depend on it.","PeriodicalId":517802,"journal":{"name":"European Journal of Applied Science, Engineering and Technology","volume":"2018 8","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140516136","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}
京公网安备 11010802042870号
京ICP备2023020795号-1
扫码关注我们
求助内容：
应助结果提醒方式：