ARPN Journal of Engineering and Applied Sciences              ISSN 1819-6608 (Online)
 

 
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ARPN Journal of Engineering and Applied Sciences                               June 2022  |  Vol. 17  No. 12
   
Title: Evaluation of environmental impacts: Comparative analysis of an electric wiring harness using different LCA impact methods
Author (s): Hanaa Abouljalil and Mahacine Amrani
Abstract:

Green processes have received growing interest by industries, governments, and researchers during the last years, in which the concept of sustainability has become the key point. There are different software tools and methods to perform Life Cycle Assessment (LCA) and results may be different according to which method the user chooses. This paper aims to present how different LCA results can be achieved due to the use of different LCA methods for the same product system. The present study focuses on analyzing three LCA methods on the same software Open LCA: CML9901, Impact 2002 and Eco indicator 90. The results were discussed and compared in terms of modelling principles, hotspots, and impacts for each method. The selected midpoint impact categories were: acidification, climate change, ecotoxicity and human toxicity. In many cases, modelling principles were identical among the software tools or nearby so, but results reveal differences for the implementation of the impact assessment. Some of these differences were so large that they could influence the LCA decisions and conclusions.

   

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Title: The effect of water volume on the performance of a two-roof sloping destilator utilizing exhaust gas from fishing boat engines
Author (s): La Baride and Corvis L. Rantererung
Abstract:

The general objective of this research is to produce a prototype destroyer that utilizes the exhaust heat from fishing boat engines. While the specific purpose of this research is to produce appropriate technology to produce fresh water for the needs of fishing boats. Increasing the productivity of fishermen through sailing time efficiency while producing sea water into fresh water on fishing boats and increasing the capacity of sea water distillators that utilize heat from fishing boat engines. This research is using experimental method. The distilator is designed as a means of distillation of sea water by utilizing the heat of the diesel engine exhaust gas. The results of the research for 3 hours with a constant engine speed of 2200 rpm were obtained, for testing the volume of 25 liters of distilled seawater obtained 4527 ml of fresh water with a sea water distillation temperature of 90 °C, distillation effectiveness 70.18% and heat absorption of 1.1643 kJ / s; In testing the volume of 27.5 liters of distilled seawater, it was obtained 4340 ml of fresh water with a sea water distillation temperature of 88 °C, the effectiveness of the distiller was 68.18% and the heat absorption was kJ / s 1.24 and on the test volume of 30 liters of distilled sea water obtained 4133 ml of fresh water with a seawater temperature of 86 °C, the effectiveness of the distillator is 66.32% and the heat absorbs 1.308 kJ / s. Water test results obtained from distillation: Water The results of distillation from a volume of 25 liters of sea water obtained pH = 6.8; Salinity = 0 ppt; Water The result of distillation from a volume of 27.5 liters of sea water obtained pH = 6.9; Salinity = 0 ppt; Water The result of distillation from a volume of 30 liters of sea water obtained pH = 6.8; Salinity = 0 ppt.

   

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Title: Design of venturi nozzle for biogas combustion through experiment and modeling by using 2-D computational fluid dynamics (CFD) simulation
Author (s): Alamta Singarimbun, Ni Ketut Lasmi, Wahyu Srigutomo, Suprijadi and Yazid Bindar
Abstract:

Biogas is one of the fuels that can be used for generating small-scale electricity. This small-scale electricity generator technology, known as genset or generator-set, generally uses gasoline as fuel. The use of biogas as fuel in gensets has been examined making it now possible to produce electricity from a dual fuel system (gasoline and biogas). This study proposes the use of only biogas as single fuel to fully operate a small-scale electric generator by modifying the shape of the venturi nozzle. The venturi functions as a biogas feeder into the carburetor mixing chamber where the air is present. The consumption of air into the carburetor chamber is regulated by a valve system. The results show that the biogas single fuel system is capable of producing 473.00 to 807.40 watts of power with an efficiency of 4.02% to 5.46% indicating an improvement in power efficiency compared to the dual fuel system. To validate the experiment and comprehend the physics behind this, a scientific study was carried out using a computational fluid dynamics (CFD) analysis. Fluid dynamics simulations in two-dimensional (2D) space for turbulent flow with flat and truncated-shaped venturi nozzles were carried out to simulate the conditions related to original and modified venturi pipes. The simulation succeeded to describe the conditions required by the biogas to flow effectively from the venturi nozzle in the carburetor chamber directly into the combustion cylinder. The simulation also revealed the related quantities of biogas dynamics such as velocity, pressure, and turbulent entities characterizing the biogas flow in the system.

   

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Title: Studying the Shubarkol deposit coal as the carbonaceous reducing agent in ferroalloy production
Author (s): D. A. Ibragimova, Yu. N. Pak, V. S. Portnov, D. Yu. Pak and E. Ye. Ibragimov
Abstract:

One of the promising trends in the development of ferroalloy production is the use of coals as carbonaceous reducing agents. There are presented the results of comprehensive studies of the physical-and-chemical and technological properties of coals from the Shubarkol deposit (Central Kazakhstan) for the coke-free production of various ferroalloys (ferrosilicon silicomanganese, high-carbon ferrochrome). Semi-coke was obtained as an active reducing agent based on high-speed thermal-oxidative pyrolysis of Shubarkol coals with specified quality characteristics: ash content 4.36%; the yield of volatile substances 47.24%; low sulfur content 0.35% and phosphorus 0.01%. The optimal temperature parameters and heat treatment modes were determined to ensure the production of carbonaceous reducing agents with sufficient structural strength and high reactivity. One can expect increasing the efficiency of coke-free production of ferroalloys when selecting the optimal proportion of coal in the charge composition, making appropriate changes to the operating modes of ferroalloy furnaces to improve technical and economic indicators, and introducing instrumental methods of express analysis of the ash content of the coal used, the yield of volatile substances, combustion heat and chemical composition.

   

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Title: Variables optimization in synthesis of surfactant from hexadecanoic acid and arginine using CCD and ANOVA method
Author (s): Zuhrina Masyithah and Andre C. B. Dharma
Abstract:

Surfactant synthesis from hexadecanoic acid and arginine is influenced by several variables, including catalyst amount (A), mix solvent (B), and arginine to an acid ratio (C). For this reason, Central Composite Design (CCD) and Analysis of Variance (ANOVA) methods are used to optimize the values of the three variables that can produce a maximum surface response. In this work, the synthesis was carried out at a temperature of 60oC for 4 hours and a motor rotation of 250 rpm, using a calcium oxide catalyst and tert-amyl alcohol as a solvent. In addition, the effect of A, B, and C were discussed in terms of the percent conversion of hexadecanoic acid. Of the three variables observed, the percent conversion mainly depends on the arginine to acid ratio and is less influenced by the catalyst amount. The ANOVA results show that the recommended model is a quadratic model, with adjusted R2 0.8823 and predicted R2 0.2476.

   

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Title: Sentiment analysis for improving quality of products and services by using deep learning
Author (s): R. Shiva Shankar, V. Priyadarshini, P. Neelima and M. Janaki Devi
Abstract:

In Today’s internet world, sentiment analysis is an essential and more demanding task because it allows different commerce and organizers to know customer opinions regarding multiple business aspects. Such opinions significantly support the business. It could easily understand the feelings and needs of each customer. In the current decade, social media networks like Twitter are becoming a beneficial resource that extracts millions of posts to know the customer feelings since it is possible to succeed. In this paper, we recommend the latest approach called deep-learning, which easily enables different types of commerce and corporations to recognize customer feelings on sentiment analysis to improve the quality of their stocks or facilities and easily succeed in today’s businesses activities. Therefore, with the help of a convolution neural network (CNN), we researched various sizes of a Twitter dataset consisting of millions of tweets to evaluate the efficiency of such a method for categorizing each Twitter post as positive, negative and neutral.

   

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Title: Performance of fluidized bed dryer using hot airfrom pyrolysis apparatus in rice drying
Author (s): Rosdanelli Hasibuan, Muhammad Raihan and Vikram Alexander
Abstract:

Rice is one of the main foodstuffs in Indonesia. Freshly harvested rice usually contains 20-25% water (wet basis). The water content in rice needs to be removed up to 12-14% to avoid damage caused by microbes and fungi. One of methods to remove the water content in rice is drying. In this study, rice drying was carried out using a fluidized bed dryer with a hot air source originating from the remaining heat of the pyrolysis apparatus. The operating conditions in this study were hot air velocities of 8 m/s, 9 m/s and 10 m/s, air temperatures of 50˚C, 60˚C and 70˚C, and bed height of 2 cm, 4 cm, 6 cm. This study aims to examine the effect of operating conditions on rice drying using a fluidized bed dryer. Drying was carried out with an initial moisture content of 26% of the rice. The results showed that drying air velocity of 10 m/s, drying air temperature of 70˚C and bed height of 2 cm were the best operating conditions in this study with a drying time of 40 minutes with final moisture content of 5.92% and the highest drying rate of 0.0422 g/cm2.min.

   

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Title: Particle motion in jigs using linear and nonlinear empirical models
Author (s): Manuel A. Ospina-Alarcón, Liliana M. Úsuga-Manco and Gabriel E. Chanchí-Golondrino
Abstract:

Particle properties can have a great influence on the design, optimization, and control of plants in the processing of heavy minerals such as gold and silver. In this paper, the identification of the position of a particle in the bed of a Jig-type gravity concentrator was proposed by means of data obtained from a phenomenological model of the particle trajectory. The data obtained from the phenomenological model were used for the construction and validation of an auto-regressive model with exogenous input (ARX) and an artificial neural network (ANN) model. The results obtained were contrasted and the construction process of both models was documented. The identified models showed a fit with errors lower than 2 % with respect to the data provided by the phenomenological model, which makes them suitable for control and optimization purposes of the equipment in mineral recovery.

   

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Title: Proposal of an automated tool for the analysis of usability tests
Author (s): G. E. Chanchí-Golondrino, M. A. Ospina-Alarcón and W. Y. Campo-Muñoz
Abstract:

With the increase in the number of users consuming interactive applications and the growth of apps in the app stores, usability has become one of the key factors that allow software development companies to be competitive in the market and users to be productive. To evaluate the usability of a software product, the so-called user tests are used, in which a set of users perform a certain number of tasks while interacting with an interactive application, in order to determine the level of usability based on the calculation of the attributes of efficiency, effectiveness and satisfaction. In this paper we propose as a contribution the development of an automated tool for the analysis of usability tests, which receives as input the parameters associated with the attributes of effectiveness, efficiency and satisfaction, obtaining as output the level or percentage of usability for the software evaluated in the test. This tool is intended to support usability test coordinators in automating the test analysis process and determining the usability level of an interactive application. This tool can also be considered as a reference for the automation of other types of usability tests, such as heuristic evaluations or usability inspections.

   

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Title: On spin polarization current induced signature properties of memristive system realizable from domain wall growth
Author (s): Narendra Kumar Ram, Raj Kumar Singh and Kumari Mamta
Abstract:

Memristive behavior of domain wall propagation between two magnetic conducting element is studied following spin polarization of current in perpendicular plane (CPP) through the sample. A domain wall appears as spin structure between two magnetic domains. Spin polarization current interacts with the second pinned layer to produce giant magnetoresistance, with resistance value function of the relative angle between the magnetic moments in layers. Analytical simulation results on 10 nm sample size domain wall achieve the pinched hysteresis loop and many other signature properties of memristive system. A nearly pinched hysteresis loop is obtained with pinch about the origin. The C-V plots with applied signal voltage amplitude indicate divergence capacitance (both positive and negative) around 0V. The ‘pinchness’ is more accurate for the applied signal voltage of 1 V. At higher frequencies, the charge-voltage plot shows more dissipative character.

   

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Title: The impact of climate change on the spread of forest fires
Author (s): Inna Pivovarova and Alexander V. Matveev
Abstract:

The article proposes a spatio-temporal analysis of the relationship between the distribution of forest fires and climatic factors. With the help of GIS technologies, data on the number of forest fires over a thirty-year period in the European territory of Russia were processed and visualized. Statistically significant trends in the long-term variability in the number of forest fires and their regional distribution have been identified. The paper identifies and analyzes the general climatic trends for the study area. The correlation between the interannual variability of fires and climatic characteristics is clearly shown. The results of the work on determining the degree of influence of the main fire-hazardous factors in specific territories will make it possible to further identify areas of potential fire danger and make decisions on fire prevention strategies.

   

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Title: Natural coordinates for rotation center determination
Author (s): Neider Nadid Romero, Bladimir Ramon and Gonzalo G. Moreno Contreras
Abstract:

Center of rotation determination of a bar is important, since from this the rotational and translational movement of the bar can be defined. This movement will allow the dimensioning of the work or action space of certain mechanisms. In this sense, the use of Natural Coordinates is very helpful for this purpose, these coordinates are mostly Cartesian coordinates located in the kinematic pairs or in points of interest of the mechanism or links, where the main advantage of their use is that angular parameters and trigonometric functions can be disregarded, which facilitates the understanding of the modeling, in addition it is not necessary to use trigonometric functions. This technique uses the Arnold Kennedy theorem and the Screw theory, which allow to reduce the computational cost in a great way, optimizing problems where the rotation center has to be calculated many times. Taking these aspects into account, this article develops a case study in which this technique is applied to determine the center of rotation of a four-bar mechanism, which is fundamental for the optimal design of polycentric mechanisms and other applications.

   

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Title: Stochastic calculation of reactivity in subcritical reactor by the Euler-Maruyama method
Author (s): Daniel Suescún-Díaz, Freddy Humberto Escobar and D. Peña Lara
Abstract:

A set of stochastic differential equations of Itô for the delayed neutron precursor concentrations is derived from the point kinetics model using a function of subcritical importance is presented in this work. These new equations are validated using the Euler-Maruyama method to calculate the stochastic reactivity of a subcritical system for different numerical experiments involving constant and linear neutron density. The results demonstrate that the new model is consistent with results reported in the literature for the dynamics of reactors guided by external neutron sources known as ADS (Accelerator Driven System).

   

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