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Emerging Science Journal

ESJ
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Published by Ital Publication

ISSN : 26109182 EISSN : - DOI : -

Core Subject : Social,

Environmental Science

Emerging Science Journal is not limited to a specific aspect of science and engineering but is instead devoted to a wide range of subfields in the engineering and sciences. While it encourages a broad spectrum of contribution in the engineering and sciences. Articles of interdisciplinary nature are particularly welcome.

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Articles 6 Documents

Search results for , issue "Vol 2, No 1 (2018): February" : 6 Documents clear

Investigating and Ranking Barriers to Strategic Implementation in Telecommunication Center of Tehran Province Shirin Javaheri; Ahmad Abdolvand; Aghdam Mohammadloo
Emerging Science Journal Vol 2, No 1 (2018): February
Publisher : Ital Publication

This study sought to investigate and rank the barriers to strategic implementation in Telecommunication Center in Tehran province. In terms of the objectives, it is an applied study and with regard to the methodology, it is descriptive as it describes the conditions of phenomena. The statistical population consisted of 140 managers, senior experts and elites of Telecommunication Center of Tehran province. Using Morgan's table, a total of 90 people were selected as the study sample. The instrument to collect the required data was a researcher-made questionnaire. The validity of the questionnaire was confirmed by the experts in the field and the reliability within the pilot study was 0.87. In this research, four barriers were raised including: system and management barriers, barriers related to employees, barriers to strategic planning, and barriers to non-allocation of resources.Investigating the capability of fitting the strategic barriers model in Telecommunication Center of Tehran province revealed that all the barriers were within the acceptable limits. In this study, content validity was assessed using expert judgment and construct validity using the confirmatory factor analysis. The TOPSIS technique was then run to prioritize the barriers. Findings indicate that whereas the system and management barriers have the highest rank, the barriers related to employees have the lowest rank.

A CFD Study of Industrial Double-Cyclone in HDPE Drying Process Razavi Alavi, S.A.; Nemati Lay, E.; Alizadeh Makhmali, Z.S.
Emerging Science Journal Vol 2, No 1 (2018): February
Publisher : Ital Publication

Double-cyclone in fluidized bed drying is an important equipment which reflects the conditions of drying in HDPE slurry process. Cyclone is an important unite of fluidized bed drying in order to move the solid particles outward to its wall. Therefore, flow pattern created in fluidized bed will affect industrial cyclones installed in dryer for dust removing. Pressure drop of the cyclones is an effective parameter represents the drying behavior. Substantially, geometry of cyclone, inlet flow rate of gas, density and particle size distribution (PSD) can affect the pressure drop value. Fluidized bed hydrodynamic regime is very complex and must be understood to improve fluidized bed operations through theoretical, industrial and CFD study of double-cyclone. Pressure drop is introduced as parameter related to the cyclone efficiency can be calculated with ANSYS Fluent software in the Eulerian-Lagrangian framework with RNG k-É› turbulence model used as a mathematical method. Proper pressure drop concluded from industrial experiments and CFD calculation shows good fluidization of HDPE particles in the bed of nitrogen and powderÂ to reach the best fluidized bed situation and suitable quality of HDPE powdery product.

Analysis of Bifurcations in a Wind Turbine System Based on DFIG Saber Khosravi; Mehran Zamanifar; Pouya Derakhshan-Barjoei
Emerging Science Journal Vol 2, No 1 (2018): February
Publisher : Ital Publication

This main aim of this study is investigation of the dynamic stability in a grid-connected wing turbine system based on Double Feed Induction Generator (DFIG) using the bifurcation theory. Regarding the overview of stability by Cardenas et. al. [1]. In our research, the proposed system model is simulated based on bifurcation theory in MATLAB software. In each step, one of the controlling or non-controlling parameters is selected. Eigenvalues of system are traced permanently during simulation. According to the change of the eigenvalues of system, due to the change of bifurcation parameter, stability of the equilibrium point and special bifurcations including saddle-node and Hopf bifurcations in the system are determined.

Study the Effect of Seeding Suspension Concentration of DD3R Particles on the Modified Surface of Α-Alumina Support for Preparing DD3R Zeolite Membrane with High Quality Aynaz Meshkat; Mohammad Javad Vaezi; Ali Akbar Babaluo
Emerging Science Journal Vol 2, No 1 (2018): February
Publisher : Ital Publication

In this study, seeding of DD3R particles as an important step in the synthesis of DD3R membrane with secondary growth method was investigated. Dip-coating method is used for seeding of DD3R particles on the modified surface of α-alumina supports. 0.1, 0.2 and 0.3 wt% aqueous suspensions of the DD3R seeds were prepared and each support was coated three times with dipping time of 240 s. Scanning electron microscopy (SEM) analysis was used for the investigation of the quality of seed layer formed on the support. It is shown that the uniform layer of seeds was formed with 0.2 wt% seed suspension concentration. DD3R zeolite membrane was synthesized via hydrothermal method on the support seeded with 0.2 wt% seed suspension concentration. The X-ray diffraction and SEM analysis confirmed the synthesis of uniform DD3R zeolite membrane layer on the support which can be due to the uniform distribution of the DD3R seeds. Single gas permeation tests of N2, CO2 and CH4 were carried out, so that good perm-selectivity for gas mixtures was observed.

Big Data: Concept, Potentialities and Vulnerabilities Fernando Almeida
Emerging Science Journal Vol 2, No 1 (2018): February
Publisher : Ital Publication

The evolution of information systems and the growth in the use of the Internet and social networks has caused an explosion in the amount of available data relevant to the activities of the companies. Therefore, the treatment of these available data is vital to support operational, tactical and strategic decisions. This paper aims to present the concept of big data and the main technologies that support the analysis of large data volumes. The potential of big data is explored considering nine sectors of activity, such as financial, retail, healthcare, transports, agriculture, energy, manufacturing, public, and media and entertainment. In addition, the main current opportunities, vulnerabilities and privacy challenges of big data are discussed. It was possible to conclude that despite the potential for using the big data to grow in the previously identified areas, there are still some challenges that need to be considered and mitigated, namely the privacy of information, the existence of qualified human resources to work with Big Data and the promotion of a data-driven organizational culture.

Increasing the Thermal Efficiency of Double Tube Heat Exchangers by Using Nano Hybrid Mohamad Hosein Barzegar; Mohamad Fallahiyekta
Emerging Science Journal Vol 2, No 1 (2018): February
Publisher : Ital Publication

In this study overall heat transfer in a double pipe heat exchanger fitted with twisted-tape elements and hybrid nanofluid were studied experimentally. Hybrid nanoparticles with a diameter of 20nm and a concentration of 1% (w/w) were prepared. The effects of temperature, mass flow rate, concentration of nanoparticles on the overall heat transfer coefficient and heat transfer changes in the turbulent flow regime were investigated. The results showed that when both of twisted tape and nanofluid have been used, heat transfer coefficient was about 40 percent higher than when they were not used. The experimental results also showed that 1% Al2O3/CuO nanofluid with twisted tape has slightly higher heat transfer when compared to 1% hybrid nanofluid without twisted tape. Neural networks used for modeling the system. The dependency of overall heat transfer coefficient of nanofluid (OHTCNF) on Reynolds number have depicted. The correlation coefficient for all data 0.98 is the successful prediction is shown. In this experimental work, nanoparticles were dispersed in hot current and cold water absorbed heat from hot nanofluid, so this system could be a good candidate for using in food industries, because at the end of this process there isn't any needs of extracting nanoparticles from the cold current. The heat transfer rate from the heating fluid was calculated by some known equations.

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