European Journal of Applied Science, Engineering and Technology最新文献

{"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}

{"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}

{"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}

{"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}