Proceedings on Engineering Sciences

6

Authors: Nesrine Gaaliche, Mahmood Alajimi

The heat exchangers are widely used in different industrial applications, such as chemical industry, petroleum, thermal power, and so on. Fluid corrosion and fouling frequently damage shell and tube heat exchangers, resulting in leaks. In order to prevent the fluid losses and increase the efficiency, it is proposed to optimize an old shell and tube heat exchangers (STHE) used in the petroleum field in order to cool down the produced Methanol in petroleum production. Thermal modeling was used to optimize the design of a shell and tube heat exchanger using Computational Fluid Dynamics (CFD). Its heat transfer coefficient, pressure drop, and efficiency were calculated using the log-mean temperature difference (LMTD) method. Computational fluid dynamics (CFD) was performed to study the model of the inlet shell flow field. Our experimental findings show that the performance is around 35.29%. This means that the efficiency has increased by 9.6% of its previous efficiency and the pressure drops of the shell and tube side are 16.422 kPa and 54.262 kPa. The hot and cold fluid outlet temperatures, corrected LMTD and efficiency obtained from CFD simulations were in excellent agreement with experimental results, with an error of 3.6%.

8

Authors: ACCOUNTING FOR SMALL-SCALE IRREGULARITIES IN THE PROPAGATION OF SHORT RADIO WAVES IN THE HIGH-LATITUDE IONOSPHERE

In the modern world, the need for accurate knowledge of the state of the high-latitude ionosphere has increased, the modeling of which is difficult due to the presence of a large-scale structure. However, the empirical and theoretical models of the ionosphere developed in recent years have made significant progress in taking them into account. The situation with small-scale irregularities is more complicated. In this work, the comparison was performed between experimental ionograms of vertical, oblique, external and transionospheric sounding with ionograms, calculated by a computer simulation taking into account small-scale irregularities. The obtained conformity has allowed one to conclude that there is a range of parameters values of these irregularities which can be used in interpreting and predicting the propagation characteristics of short radio-waves in complicated conditions, especially during disturbances.

10

Authors: Pavel Shcherban, Andrey Sokolov, Reda Abu Hamdi

An essential, and at the same time poorly covered in scientific publications topic is the failures of cavitation systems. Practice of using cavitators at fuel oil facilities at thermal power plants in Kaliningrad region shows that these technical devices can fail rather often. In this study, cavitators failures problem was analyzed by survey of accumulated statistical data concerning the parameters of cavitators operation in fuel oil farms and the moments of failure occurrence. The regression and cluster analysis, which was used for data processing, allowed to determine the relationship between failure types and influencing factors and to rank the factors by the degree of their impact on the cavitation equipment. Based on the results of mathematical and data analysis, proposals for ensuring better technical reliability of cavitators, reorganization of its maintenance system and reduction of the number of failures were developed.

12

Authors: Danila Kondrashov, Evgeniy Rogozhnikov, Renat Abenov, Serafim Novichkov, Evgeniy Ageev

Due to introduction of the 5G NR standard, an estimation of the total cost of ownership for 5G networks is required, as well as expenses optimization. This paper provides a comparative analysis of the total cost of ownership for 5G networks of various architectures. Various deployment scenarios for D-RAN (Distributed RAN), C-RAN (Centralized RAN) and Open RAN of the radio access network provided by this standard are considered. The results of the work were obtained using mathematical modeling in the Matlab environment.

12

Authors: Tryson Yangailo, Justine Kabela, Herbert Turyatunga

Total quality management (TQM) has become acceptable generally as an approach for improving productivity in organisations in this 21st century. Whereas some studies have argued that implementation of TQM practices improve organisational productivity, others have failed to find the linkage between the two. This study, therefore, was conducted to determine and validate whether implementation of TQM practices increase productivity in railway transport sector. The study evaluated effect of TQM practices on productivity in Tanzania Zambia Railway Authority (TAZARA). Data were collected from 177 TAZARA managers through structured questionnaires and correlation and regression analysis were employed to analyse data. Results of the study show that practices of TQM have a positive significant effect on productivity. Results of regression analysis show that important innovations, customer-focus, transformational leadership and commitment, have significant positive effect on productivity in TAZARA. However, education and training, and employee responsibility and involvement have no significant effects on productivity.

14

Authors: Büşra Dağcı Yüksel, Filiz Ersöz

It is important to analyze the failures and eliminate their root causes to ensure customer satisfaction and increase quality in businesses FMEA analysis is a widely used method to analyze potential or potential failures. Data mining methods can also investigate the causes of these failures. In this study, it is aimed to determine and eliminate the root causes of failures with FMEA and data mining in a machining company. FMEA and data mining have been applied to improve the quality of the business and eliminate the root causes of failures. IBM SPSS Modeler and Weka programs were used in data mining research. As a result of the research, the types of failures with a risk priority number value above 100 were reduced to an acceptable level by making improvements.C5.0 algorithm, one of the data mining classification algorithms, was applied with IBM SPSS Modeler and the factors affecting the failures of the personnel were determined. As a result of the research, it was determined that the most important reason was whether the personnel were professional or not. According to the classification result made with WEKA J48 algorithm, the most effective factor causing the personnel to make mistakes was determined as the training status of the personnel.

14

Authors: Reshma. S.

Hybrid Electric Vehicle (HEV) is considered as the evolution of Electric vehicle in which hydrogen is taken as a fuel. In this paper, a novel Alternative Electric Propulsion System has been proposed to tackle the major issues in HEV such as, the long auto ignition delay, hydrogen gas fuel depletion and power energy demand. Initially, Perpetual extent cauldron has been introduced to tackle the long auto ignition delay via considering pressure levels, lean, quasi-stoichiometric and rich conditions for estimation of delay time which handled through simulation. Consequently, Canny predicament approach is adopted to handle the hydrogen depletion in emergency cases by introducing predicament manipulate algorithm where fuel reserved in house as well as boost converter will contributed in this algorithm to fulfill the hydrogen demand. In addition, Astute power prepotency is proposed to manage the power energy demand with the cooperation of manifold proxy system, which can be achieved via communication between multiple agents via supervising agent as well as predicament manipulate algorithm can subordinate for such power energy demand. Thus it provides, an efficient electric propulsion system for hybrid electric vehicle with power management. This proposed system has been implemented in MATLAB Simulink and compared with the recent researches.

30

Authors: Danila Kondrashov, Evgeniy Rogozhnikov, Renat Abenov, Serafim Novichkov, Evgeniy Ageev, Andrey Zhalsaraev

In the 5G concept, nonpublic networks can be used in any private enterprises. However, the most relevant at present is the introduction of private networks in priority sectors of the economy. These are such sectors as communications and telecommunications, production and distribution of electricity, as well as housing construction. The paper considers four scenarios for calculating the total cost of a 5G network, as well as three scenarios for deployment in various sectors. For calculations, the authors define the concepts of CAPEX and OPEX, and present the architecture of the 5G network. The calculation was performed by the optimal method in each individual scenario. The results of the work were obtained by mathematical modeling in the Matlab environment.