Authors:Alaa Al-Fatlawi, Károly Jármai and György Kovács
The aim of the research was to develop a new lightweight sandwich structure, which can be used for elements of air containers. The structure consists of aluminum foam core with fiber reinforced composite face-sheets. Nine different laminated glass or/and carbon fiber reinforced plastic face-sheet combinations were investigated. Finite element analysis of the sandwich structures was introduced. Single-objective optimization of the new sandwich structure was achieved for minimal weight. Five design constraints were considered: stiffness of the structure, face-sheet failure, core shear, face-sheet wrinkling, size constraints for design variables. The elaborated composite structure results significant weight savings due to low density.
The warm-up effect is a well-known phenomenon, which occurs in all types of laser trackers. The series of experiments was performed to determine the influence of warm-up effect on measurement and a warm-up time of device – the time after the temperature inside the tracker is stable. In this paper, the tested tracker was Leica AT960-MR. Results showed that the warm-up effect could cause errors up to tenths of millimeters, and a warm-up time of instrument is around two hours, which is similar to the other researches.
Authors:Bence Gergő Barsy, Gyula Győri and Péter Tamás Szemes
Our research team has developed a system and methodology for measuring psycho-physiological parameters, which can be used to determine the level of fatigue and fitness of the person being measured. This article describes the electroencephalography (EEG) part of this system. This article covers the technical and mathematical background of EEG measurement, the selection and implementation of the measurement tool in the development environment, and the development of the measurement and processing algorithm. The result is a system that can detect, digitize, and process the digitized signal from the brain, and save the processed signal in an XML database.
Authors:J.K. Odusote, A.A. Adeleke, P.P. Ikubanni, O.S. Ayanda, J.M. Abdul and R.A. Yahya
Plukenetia conophora (Nigerian Walnut) leaf extract was studied as a corrosion inhibitor on Al–Zn–Cu alloy in acidic (HCl and H2SO4) media using gravimetric, gasometric and electropotential techniques. The study showed that the inhibition efficiency (IE) increased as the concentration of the leaf extract increased and reached the peak (94.8%) at 0.8 g/L in 1 M HCl. In the two acidic media, P. conophora leaf extract exhibited good corrosion inhibition properties on the Al–Zn–Cu alloy samples due to adhesion of the extracts on the samples' surfaces. The adsorption process of the extract on the alloy sample surfaces was found to be spontaneous and perfectly obeyed the Langmuir isotherm model. Thus, P. conophora leaf extract is recommended for utilisation as a potential replacement for toxic inorganic inhibitors and for application in paint and coating industries.
Authors:Olena Yakymchuk, Dmytro Yakymchuk, Nataliia Bilei-Ruban, Iryna Nosova, Serhiy Horiashchenko, Kostyantyn Horiashchenko, Tetyana Kisil and Viacheslav Tuz
The objective of this research is to develop the equipment for liquid-jet forming of women's headwear hats, which will allow expanding design assortment of these products. The equipment for cyclic liquid-jet forming of headwear hats in liquid-active working environment (LAWE) with forming element rotation was designed. The mechanism of movement and orientation of liquid -jet forming nozzle was developed, which allows influencing fabric parts by flooded and controlled liquid-jet, repeating the contour at a certain distance and with appropriate angle attack on each technological section of the part. The conducted experimental research allowed to receive semi-spherical forms of headwear hats from six fabrics suit-coat assortments, which are one of the most difficult forms of non-seam forming. Completely formed hats of a given complex configuration were obtained by liquid-jet forming, different from standard semi-spherical ones. The developed equipment provides mobility of the production from the point of view of quick equipment adaptation due to action use of flooded controlled liquid-jet and forming of a significant number of various hats contours, various combinations of technological forming modes.
Recently, the thermal performance of the parabolic trough collector (PTC), augmented to be more applicable and efficient, received intensive research. These studies aimed to improve heat transfer in the receiver part, in order to decrease the heat loss, and enhance the heat transfer to the thermal fluid. Many previous review papers focused on the numerical sides rather than the experimental side. Several research papers recommended doing more research in the experimental field; in order to decrease the gap between the numerical and experimental results, as well as increase the confidence level of what has been done in the theoretical field researches. Regarding the recommendations of the recent papers to decrease the gap between numerical and experimental aspects, this review paper focused on the recent experimental research related to thermal enhancement performance in the receiver part of the parabolic solar collector. In this research, different categories of the enhancement methods are discussed in detail through this review, namely nanofluids, surface modifications, and inserts models or the two categories combined together. We discussed these categories for different parabolic troughs considering only the recent experimental research between the period from 2014 up to 2019. Some parameters were discussed, such as the main dimensions of the examined receiver and parabolic collector. Moreover, types of nanoparticle specifications and preparation methods with different base fluids were highlighted. In addition, we discussed different aspects of using inserts models and inlet and outlet surface modification methods. Finally, the main thermal efficiency and thermal performance enhancement results for each work were presented.
Authors:Ekhlas H. Karam, Noor S. Abdul-Jaleel and Basma J. Salah
The control of higher order linear system is one of the main fields of research area that has been studied for decades because of the difficulty in designing a controller for such systems. One of the best approaches to solve this problem is by reducing the order of the system into a second orders, based on this reduction many approaches can be proposed for controlling the higher order system, therefore many reduction methods are suggested and developed for this purpose, one of these methods is the Mixed Reduction Method (MRM). The first contribution of this paper is to improve the efficiency of MRM by using a flower optimization algorithm.
The second contribution of this paper lies in proposing a hybrid Neuro-Robust deadbeat controller using Matlab facilities to control higher order linear systems based on the optimized MRM. Where the robust deadbeat control algorithm is combined with a modified adaptive radial basis neural network to improve the robustness and efficacy of the deadbeat controller, which is partially lost when designing this controller for the higher order based on model reduction. The suggested radial basis function neural network has a simple design. The proposed control scheme assures the stability of the overall closed loop-controlled system; therefore, it can be applied to control any linear higher order systems. Results of different simulation examples show the efficiency of the proposed hybrid controller (Neuro-robust deadbeat) in tracking different reference signals compared to the robust deadbeat controller.
Authors:Caturwati Ni Ketut, Yusuf Yusvardi and Komara Fajar Muhamad
The availability of freshwater is increasingly becoming an international concern because of the increase in population and the diminishing forest area as a source of water, leading to a freshwater crisis. The coastal and swamp areas abound in water, but humans cannot consume it due to the quality. One effort that can be done in overcoming this problem is by treating existing raw water with solar distillation methods. However, the main obstacle faced in this method is the intensity of sunlight that is not stable throughout the day so that the productivity of distilled water is disrupted. Using the appropriate phase change material (PCM) is expected to make the distillation process smoother and increase the production of pure water. In this study, myristic acid was used as PCM in double slope solar distillation system. Through observation, it was obtained that the average water temperature in the basin equaled to 42.5 °C while the melting point of the myristic acid was 58 °C. This shows that the use of myristic acid as an energy storage through phase change process does not occur. Therefore, the use of myristic acid as PCM for increasing the productivity of solar distillation in these experiments is not effective because the melting point of PCM is higher than water temperature in the basin. Therefore, material with a phase change temperature below 42.5 °C is more appropriate to use in these conditions.
Authors:Varun Barthwal, M.M.S. Rauthan and Rohan Varma
Virtual machine (VM) management is a fundamental challenge in the cloud datacenter, as it requires not only scheduling and placement, but also optimization of the method to maintain the energy cost and service quality. This paper reviews the different areas of literature that deal with the resource utilization prediction, VM migration, VM placement and the selection of physical machines (PMs) for hosting the VMs. The main features of VM management policies were also examined using a comparative analysis of the current policies. Many research works include Machine Learning (ML) for detecting the PM overloading, the selection of VMs from over-utilized PM and VM placement as the main activities. This article aims to identify and classify research done in the area of scheduling and placement of VMs using the ML with resource utilization history. Energy efficiency, VM migration counts and Service quality were the key performance parameters that were used to assess the performance of the cloud datacenter.
Due to recent changes in the labour market, recruitment and retaining employees have become more important than ever. Research dealing with the appearance of new generations in the labour market has found that they are less loyal to their employers, have high demands, and the key factors that they consider when choosing a job are salary, career opportunities, working environment, and work-life balance. As numerous studies in recent years have proved the importance of a healthy lifestyle in the context of labour, the question has arisen whether opportunities for sport participation and services supporting the well-being of employees have an influence on young people when they are seeking employment. We carried out an online survey to find out what students of the University of Debrecen think about the issue. The results were in line with the findings of previous studies, that is, young people look for high salaries, good working conditions, work-life balance and career opportunities when choosing a job. However, respondents did not identify sports opportunities and well-being benefits as major factors Yet, we found significant differences between different groups in terms of preference of particular factors, depending on sex, marital status, and whether someone does physical exercises regularly, and whether someone works while attending a university course or not.