Sustainable Engineering and Innovation (SEI - E-Journal)
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142 research outputs found
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Artificial neural network in the prediction of surface roughness: A comparative study
Full text linkSurface roughness is a key parameter to consider in the machining of aluminum alloy. It is rendered as one of the important determinants of the performance of mechanical instruments or components. Owing to its excellent mechanical properties, and ease of machinability, Aluminum 6061 (Al6061) is rendered a popular choice in many industries. Achieving a desired surface finish is crucial for the performance and longevity of machined components. This study aimed to compare the predictive performance of the artificial neural network (ANN) model versus the response surface methodology (RSM) in the prediction of surface roughness in the turning process of Al6061. ANN performed better than RSM in the prediction of surface roughness (A20 index 0.93 and 0.86 for ANN and RSM models respectively). MAPE and sMAPE were also found to be lower in the ANN model compared with the RSM model (8.06 versus 9.69, and 0.039 versus 0.047 respectively) indicating that the ANN model had a better predictive performance compared with the RSM model. Both ANN and RSM models showed that cutting speed and feed rate were the most important determinants of surface roughness in the turning process of Al6061 in other words to achieve a smoother surface during the turning process of Al6061 high cutting speed and low feed rate should be used. The findings of this study reflect the potential utility of ANN in the prediction and subsequently optimizing cutting parameters to achieve a smoother surface
A parabolic solar collector for harnessing solar energy in Bucaramanga, Colombia
Full text linkIn this work, a solar energy collection system based on a parabolic solar collector adjusted to the conditions and availability of energy was designed to examine this type of collection device and evaluate the energy potential when installed in an educational institution. To do this, data from the historical series of solar radiation compiled by the POWER project (Prediction of Worldwide Energy Resources) were analyzed and compared with data from the Institute of Hydrology, Meteorology and Environmental Studies in Colombia (IDEAM)
Informational aspect of the process of functioning of unitary integrated informatics systems
Full text linkThe relevance of the subject under study is determined by the considerable spread of information technology in all spheres of modern life and the impact of informatics systems on society. The purpose of this study was to investigate the essence and resource of the integrated unitary management process, which formulates and reveals the concept of integrated unitary management process, its specified content, categories of resources, their interrelation, differentiation from the informative side of the functioning of this process, the sequence of integration of its elements. The conceptual essence and resources of the unitary management process are revealed. The hierarchy, ranks and conceptual value of the material-information processes of the management system objects are highlighted and characterized. In this study, results were obtained indicating that conceptually, an integrated unitary management system, compared to the existing discrete management system, is characterized by a range of key indicators. Specifically, all categories of human activity (material, informational: informative (situational, cognitive) and decisional) through their direct interrelations and interactions are realized as a unified whole. At the level of organization, the system is completed in the form of a material and informational core. Regardless of the dimensionality of the spatiotemporal rays of the system, the superiority of the managerial rank, the influence potential over any managed element has the same intensity as at the primary level. The functioning management system is an analog action that works in real-time in accordance with the decisional values of which the evolution of the managed subject automatically changes
Laser cladding and applications
Full text linkLaser coating is a material placement technique wherein a powder material is melted using a laser to coat a portion of a substrate. In this study, laser cladding and its applications are reviewed. First, background of the technique and its important parameters are highlighted. Then, control of laser cladding procedure is criticized. As an example of the process, laser cladding of titanium alloys is investigated. Finally, applications of laser cladding on gas turbine engines, dies and drilling spindles, tools, turbine blades are highlighted
The stages of development of architecture and observance of architectural heritage in the Republic of Armenia
Full text linkThere are a lot of scientific and research reports dedicated to Armenian architecture from the ancient times to nowadays. There are many interesting and thoroughly researched reports of architectural and historical value done by not only Armenian but also foreign historians, architects, and engineers. Exploring Armenian architecture’s chronology and research reports, we noticed that after independence of the Republic of Armenia (since 1991) there are few scientific reports which include the stages of development of architecture of newly independent Armenia, the current state of the architectural heritage and their observance. So we decided to study that period trying to show the problems and essential events as well as to introduce that period by the stages of development also including some examples of architectural heritage
Analysis of the way of pretreatment before transportation of palm biomass fuel
Full text linkWith the increasing concern about the environment, renewable energy development is imminent, and biomass utilization is an essential part of it. In many regions (e.g., Southeast Asia), palm kernels are a very economical feedstock for biomass energy production. However, the collection and transportation of palm kernels are complicated, which is not conducive to the further development of this industry. This paper analyzes the current situation of collection and transportation of palm kernels in Southeast Asian countries using basic analysis methods. Meanwhile, the characteristics of palm fruit bunches as biomass fuel and its transportation and handling methods are briefly introduced and analyzed concerning the fuel demand of biomass power generation projects. The shortcomings of the current methods were identified, and relevant directions for improvement were proposed. It is hoped that it can improve the transportation efficiency of palm fruit bunches as a feedstock for biomass power generation and provide a reference basis for the collection and transportation of palm fruit bunches biomass
Design and analysis of wideband sub-6 GHz microstrip antenna
Full text linkIn this work, design, analysis, and simulation of microstrip patch antenna for Sub-6 GHz application has been investigated. The research method is based on the Sonnet Suites software. The aim of the study was to design and analyze microstrip patch antenna for Sub-6 GHz antenna for 5G applications and usage. The antenna is designed with the help of using partial ground architecture. Design architecture consideration and analysis of different parameters and simulations were investigated. The antenna operates at 4.32 GHz and the results are compact design area of 21.5 x 36.9 mm2, reflection coefficient is of -18 dB, and the gain in the range from 4.30 to 4.32 dB
Decision making in inventory control by using artificial neural networks
Full text linkThe purpose of this work is to increase the sales of a store devoted to the purchase and sale of soft drinks, even though the store's inventory is overstocked. This occurs as a result of the business's lack of an effective management system that controls product ordering. Additionally, there is no analysis of future sales owing to the variations that may occur because of unforeseen occurrences. The main criterion was that the proprietors of the business submit monthly records from 2017 to July 2019. To accomplish this objective completely, we used the Monte Carlo simulation method to obtain data from August to December 2019; and neural networks to obtain data for all monthly periods in the years 2020, 2021, and 2022, which enabled us to generate records of demand and stock for each of the products. Finally, it was shown that the application of neural networks enables the solution of vehicle control issues, resulting in a maximization of more than 22% of sales, thus achieving the goal and giving an optimum solution to the company
A survey on intelligent computation offloading and pricing strategy in UAV-Enabled MEC network: Challenges and research directions
Full text linkThe lack of resource constraints for edge servers makes it difficult to simultaneously perform a large number of Mobile Devices’ (MDs) requests. The Mobile Network Operator (MNO) must then select how to delegate MD queries to its Mobile Edge Computing (MEC) server in order to maximize the overall benefit of admitted requests with varying latency needs. Unmanned Aerial Vehicles (UAVs) and Artificial Intelligent (AI) can increase MNO performance because of their flexibility in deployment, high mobility of UAV, and efficiency of AI algorithms. There is a trade-off between the cost incurred by the MD and the profit received by the MNO. Intelligent computing offloading to UAV-enabled MEC, on the other hand, is a promising way to bridge the gap between MDs' limited processing resources, as well as the intelligent algorithms that are utilized for computation offloading in the UAV-MEC network and the high computing demands of upcoming applications. This study looks at some of the research on the benefits of computation offloading process in the UAV-MEC network, as well as the intelligent models that are utilized for computation offloading in the UAV-MEC network. In addition, this article examines several intelligent pricing techniques in different structures in the UAV-MEC network. Finally, this work highlights some important open research issues and future research directions of Artificial Intelligent (AI) in computation offloading and applying intelligent pricing strategies in the UAV-MEC network
Designing and fabrication of an installation PV solar modules tilting platform
Full text linkThe optimum tilt-angle of a fixed photovoltaic solar panel is very important during the installation, in order to best exploit the accessible output power efficiency of the panel. The output power effectiveness of a PV solar collector is profoundly affected by its tilt-angle to the horizontal and its orientation. This is because of the detail that the sun’s angle varies at every point of time and location. The solar photovoltaic tilting platform plays a dynamic role in the installation of the solar photovoltaic panel. From one perspective, it protects the solar panel from mechanical pressures that can arise from the wind movement and the hand; it provides means of adjustment for the solar panel. The proposed solar photovoltaic tilting platform was designed for an adjustable angle capacity oscillating from 0? to 40?; the materials used for the construction of the tilting platform are capable to withstand a load of 45kg and resist a temperature of -50? F to 150? F under a maximum wind force of 3.78N. The numerous mechanisms of the PV tilting platform prototype were tested, the stability, strength, easy titling, and overall performance of the PV tilting platform were declared as satisfactory