bluuebunny/crossref_metadata_2025_split huggingface dataset:
Time optimization of the mixing process of concrete mix components based on unsorted gravel-sand aggregates of the initial rock
Authors: Kharkov D A , Kiseleva A D 
Published: December 2022

Abstract
The article proposes a new method of control and a system for regulating the uniformity of the concrete mixture in the technological process of mixing components. The theoretical substantiations of the control and regulation of the homogeneity of the mixture associated with a change in the frequency of vibrodynamic vibrations of the mixer body are given. Such technical means as vibroacoustic sensors, communication devices with the object, electropneumatic executive regulating mechanisms are selected. To determine the quality indicator of automatic control in the system, a structural block diagram with transfer functions is proposed that determine the process of operation of the ATS in a transient dynamic mode. The mixing zones of the components that determine the optimization of the uniformity of the concrete mixture in the technological cycle of the mixing process are determined.
Mathematical modeling of the laws of airborne distribution of dust particles generated in manufacturing plants
Authors: Sharibaev Nosir , Tursunov Ahror , Djuraev Sherzod 
Published: December 2022

Abstract
In this article was given ideas on mathematical modeling of the laws of airborne distribution of dust particles generated in primary cotton processing plants, the laws of airborne distribution of various chemically harmful dust particles, as well as the physical variables of the air environment views on the modeling of dust particle dispersion processes in the working zone, such as stability, air flow rate, numerical values of indicators
Stable control algorithms for non-stationary objects based on game methods
Authors: Igamberdiev H Z , Sotvoldiyev H I , Mamirov U F 
Published: December 2022

Abstract
The paper considers the issues of constructing stable control algorithms for non-stationary objects based on the concepts of game methods. According to the principle of dynamic programming, control is defined when there are or are no restrictions on control actions. A.N.Tikhonov’s regularization method is used for stable estimation of the perturbation vector using the principle of the least residual estimate, as well as the method for compiling and solving an extended regularized normal system of equations. The obtained expressions make it possible to form control algorithms for linear non-stationary objects, which are stable when the control actions are limited, taking into account the feedback channel signal. At the same time, the use of game theory methods makes it possible to optimize management decisions under the conditions of inefficiency of classical management methods under conditions of a high level of a priori uncertainty of processes in the system under consideration.
Determination of water quality from the standpoint of the trap of non-representativeness: errors that occur when combining data series
Authors: Rosental O M , Sambursky G A 
Published: December 2022

Abstract
The errors caused by the non-representativeness of the sample data arrays when they are directly combined are analyzed. Using examples of water quality analysis and the quality of metrological support for production processes, it is shown that even if desirable changes in controlled dependencies are observed in different data groups, changes may still be undesirable when combining these groups. It is shown that the correct unification, preserving the direction of functional dependencies, provides for the introduction of weighting coefficients in such a way that the weighted proportion of the studied ratios in the combined data arrays is the same.
Calculation of the mean restoration time, of an item based on the characteristics of the restoration process
Authors: Sadykhov G S , Kudryavtseva S S 
Published: December 2022

Abstract
The well-known formulas for calculating the mean restoration time (as a mathematical expectation of the restoration time of an item–after-failure operational state) assume that the characteristics of the restoration process are set on the entire time axis. This circumstance makes it difficult to use these formulas in solving engineering problems, since, on the one hand, a specific restoration process is limited by the duration of repair works, and, on the other hand, the approximation of the restoration process over an adjacent infinite period of time after the completion of the repair works is not adequate to the process as observed. Then a problem to solve is to calculate the mean restoration time of an item through the characteristics of the restoration process, knowing the ways they work for a limited period of time, the length of which is determined by (i), the duration of repair works, and (ii), their specific conditions. In this paper, such conditions are considered as some specified level of the gamma-percentile restoration time of an item, as well as the restoration rate of an item, which results from the repair works. The selected characteristics of the restoration process have turned out to be sufficient to solve the task. In this paper, the formulas are proved for calculating the indicator “mean restoration time” based on the functional manifestations of the restoration process characteristics (taking into account the specified gamma-percentile restoration level, and the restoration rate) during the repair works to restore the operational state of an item after failure. The proved formulas are valid for any law of the restorative process. The paper also provides two examples of calculating the mean restoration time. In the first example, the uniform law of the restoration process is considered for the time interval of the item being repaired after failure, and in the second example, its exponential law is under study.
Visualization technologies for hybrid training of future engineers
Authors: Belonovskaya Isabella D , Kolga Vadim V , Karaseva Margarita V , Goryainova Tatyana A 
Published: December 2022

Abstract
The paper is devoted to the problems of visualization technology application to train future engineers with a combination of distance learning and full-time training formats (hybrid training). The authors present directions of visualization technologies application such as prototyping of production objects, Flickr-illustration of presentations, animation and video laboratory work. The visualization technologies demonstrate a positive impact on the professional and personal success of future engineers.
Investigation of the influence of the flow velocity of the measured liquid on the oscillation frequency of the resonator of a vibration-frequency density meter for the chemical industry
Authors: Huseynov T K , Abdulova N A , Abdullayeva S C , Shirinova A Y , Hashimova A R 
Published: December 2022

Abstract
The article is devoted to the study of the influence of the flow velocity of the measured pity on the readings of the vibration-frequency density meter. For this purpose, the process of free proper transverse vibrations of a resonator made in the form of a homogeneous tube rigidly fixed at the ends, along which the fluid flow is organized, is investigated. A differential equation of the resonator’s own transverse oscillations is compiled, taking into account the elastic forces, inertia forces and friction forces acting on the resonator. At the same time, the Coriolis force is neglected, in view of the rigid fastening of the ends of the tube. Taking into account the fact that the resonator oscillations are supported by the self-oscillation system, the friction force is compensated by an external force and in the differential equation the friction force becomes zero. As a result of solving the differential equation, the dependence of the frequency of self-oscillations of the resonator on the flow velocity of the measured liquid is determined. Possible ways to reduce the influence of the fluid flow velocity are determined. The conclusion is made about the expediency of determining the limit value of the fluid flow rate when determining the operating conditions of the density meter.
Investigation of stress-strain state of pipeline hoist taking into account installation displacements
Authors: Kulakov P A , Rubtsov A V , Abushakhmin A A , Yakubova P R , Greb A V 
Published: December 2022

Abstract
Stress-deformed state of a technological equipment at oil and gas refinery facilities has an ambiguous character and may depend on such factors as, for instance, operating conditions, design feature, material degradation rate, different deviations during assembly and installation etc. Moreover, the maximum level of working stress can be changed either according to linear or nonlinear laws depending on operating machinery and determining parameter of technical condition. This aspect is highly important at forecasting the further safe operation. In a modern world it is very important and urgent to build up equipment model and its parts which are digital analogue of a real facility. Application of such digital models allows to forecast future behavior of facility at the present and for the future depending on change rate of specific parameters, to determine positive and negative schemes from high stress formation point of view in the structure. Such digital model can be applied on each stage of an equipment service life and make forecasts of an equipment transfer to critical state, to determine possible reasons of changes and to carry out prevention activities. This article considers the stress-deformed state of a technological pipe operated under vacuum at different locations of its fixation on nozzle pipes of technological apparatuses.
Simulation of graphs of physical effects for information and energy circuits
Authors: Litvinov Y , Bushuev A , Nuyya O 
Published: December 2022

Abstract
A structural mathematical model of physical effects in the form of a weighted graph is considered. The basis for classifying the database and creating trends of physical effects is the concept of invariant. The transfer matrix based on the dimensions of the input and output of the effect is an invariant. A dimensional simulation of multidimensional physical effects is considered and a numerical estimation of the obtained models is proposed. The estimation is used to synthesize the operating physical principle of information and energy circuits.
Dynamic speckle imaging with SVD compression
Authors: Stoykova E. , Levchenko M. , Ivanov B. , Madjarova V. , Nazarova D. , Nedelchev L. , Machikhin A. , Park J. 
Published: December 2022

Abstract
Dynamic speckle imaging (DSI) of areas with different speed of processes ongoing in industrial or biological objects relies on statistical processing of a large number of images of the speckle patterns formed on the objects surface under laser illumination. The DSI visualizes the speed spatial distribution as an activity map. We propose compression of the raw DSI data by applying singular value decomposition (SVD). A specific feature of speckle images for DSI is lack of a structure with areas of close intensity values. The gain from the direct SVD application may be modest in cases when a great number of non-zero singular values is needed to build an activity map comparable in quality to the ground truth map from bitmap images. For higher compression, we propose SVD to be applied to the 2D arrays containing the differences between the successive images. The SVD compression has been verified by using synthetic and experimental data.
Modelling of diffraction of X-rays in perovskite superlattices
Authors: Kokosza Ł , Mitura Z 
Published: December 2022

Abstract
Nowadays, different perovskite structures are widely investigated because they can be potentially used in many branches of industry. If two materials are deposited alternately on a substrate, then a superlattice having some unique properties can be formed. However, X-ray intensity distributions for perovskite superlattices, especially for very thin films, are difficult to be computationally determined, because many different parameters need to be considered to reproduce a superstructure of a sample. The main purpose of this work is to demonstrate how basic intensity distributions can be generated for perovskites, XRD technique and how to improve results using specific numerical methods. The computer application with a user-friendly graphical interface has been developed employing Unity software (with 3D graphics tools) and Oracle Database (through Oracle Cloud Infrastructure). The calculations are based on the kinematical theory of diffraction. The values of some important parameters and the results are stored in the assigned database. It is assumed that epitaxial superlattices can be prepared on substrates using molecular beam epitaxy or pulsed laser deposition methods. The desktop application allows for designing samples of different thicknesses and combinations of monolayers. The results are more realistic if Monte Carlo simulations are done although longer computation time is required. The software developed should be helpful to compare in detail virtual model results with experimental data.
Bending crashworthiness of bionic thin-walled structures inspired by sugar cane stalks
Authors: Estrada Q , Reynoso E , Szwedowicz D , Rodriguez-Mendez A , Coutiño E , Mora T De la , Wiebe L , Silva J , Torres C 
Published: December 2022

AbstractRecently, the design of biologically inspired thin-walled structures has been increasingly popular due to the successful adaptation of biological organisms to their environments due to millions of years of evolution. Plants with high bending resistance to counter the effect of wind forces on slender and tall stalks can be found in nature. To this end, this paper investigates the bending crashworthiness of mechanical structures inspired by sugar cane (Saccharum officinarum). The biological patterns of sugar cane were obtained with a Scanning Electron Microscope, and five bionic thin-walled structures (BTWS) were considered. In all cases, the structures were modeled with 6063-T5 aluminum and numerically evaluated using the finite element method using a three-point bending test. The effects of cross-section configuration on the crashworthiness performance of the structure were investigated. Our results show a better version of the BTWSs relative to a typical circular profile. An increase in energy absorption from 15.60% to 40.27% was computed. The best CFE performance was obtained for a structure defined by a central octagon surrounded by smaller trapeziums. Such a structure is therefore highly recommended for bending crashworthiness applications.
Modeling of a transient low-temperature waste heat recovery in the plate heat exchanger in Flownex Simulation Environment
Authors: Zolińska K , Mirek P , Panowski M 
Published: December 2022

Abstract
The paper analyses the feasibility of determining the parameters of a heat exchanger operating in the crop production and realising low-temperature heat recovery from biological processes. For the first time, the Flownex 8.7 Simulation Environment has been used for this purpose. The temperature of the waste water was between 20 and 30°C. On the basis of the simulations, the power of the heat exchanger is determined to be 1 MW. The heat exchanger can efficiently heat up cold water from a deep well (7-10°C) to an assumed temperature of 19.7°C. The results from the simulation calculations correspond to the results obtained under actual conditions within a range of up to 2%.
Application of artificial neural networks model to predict the levels of sulfur dioxides in the air of Zamość, Poland
Authors: Kujawska J , Kulisz M , Aubakirova Z 
Published: December 2022

Abstract
Air quality control and its prediction are particularly important for human health and life. Sulfur dioxide constitutes one of the air pollutants that play an important role in air quality pollution. An artificial neural network model was employed to forecast the levels of sulfur dioxide in the air of Zamość (Poland). The measured data of the meteorological station of Zamość in 2017-2019 were used for the model. Temperature (T), relative humidity (RH), wind speed (WS), wind direction (WD), SO2, PM10, NO2, NOx, CO, O3, C6H6 were used as input parameters for building the neural network model. Regression value (R) and Mean Squared Error (MSE) were used to estimation the model. The results show that neural network is capable of predicting the sulfur dioxide levels in the air.
Advances in analysis, quantification and modelling of N2O emission in SBRs under various DO set points
Authors: Shourjeh M S , Mehrani M J , Kowal P , Szeląg B , Drewnowski J 
Published: December 2022

Abstract
Nitrous oxide (N2O), considered a major greenhouse gas (GHG) in wastewater treatment plants (WWTPs), is produced during both nitrification and denitrification processes; hence, it needs to be controlled by internal and external strategies. Various factors, such as DO, temperature, and pH, could be incorporated into the mitigation of emissions in WWTPs. In this research, potential operational strategies were investigated in order to find the optimal range for DO and temperature for controlling the N2O production during the nitrification process. In parallel, the activity of nitrite oxidizing bacteria (NOB) could also be limited under optimal conditions to make the process more cost-effective and energy-saving. In this regard, under a lab-scale environment, DO = 0.7 mg/l was detected as the optimal range for inhibiting NOB activity and maintaining AOB activity. Moreover, the importance of developing mathematical modelling methods has gained significant attention in order to better understand the possibility of minimizing GHG in WWTPs. In this study, advanced mathematical modelling methods were used for simulating the kinetics of the nitrification process to determine the interaction among different operating factors compared to nitrification rates.
Subharmonic responses of a nonlinear energy harvester with an asymmetric double well potential
Authors: Litak Grzegorz , Margielewicz Jerzy , Gaska Damian , Caban Jacek , Wolszczak Piotr , Ma Xiaoqing , Zhou Shengxi 
Published: December 2022

Abstract
A nonlinear energy harvester with asymmetric potential wells is studied numerically. An energy transducing piezoelectric patch is attached to the cantilever elastic beam to harvest kinetic energy of the moving frame. To obtain an asymmetric effect in the double well potential induced by permanent magnets, an elastic ferromagnetic beam resonator misaligned with respect to the magnets' distribution axis of symmetry was used. The system response under the frequency-swept excitation reporting bifurcations to subharmonic and chaotic solutions was analysed. The sensitivity of the system solutions to the parameters responsible for potential asymmetry and electro-mechanical coupling was also investigated.
Evaluation of Heat Flux Distribution Characteristics of a Concentrated Solar Dish Collector with different geometric indices
Authors: Shanmugam Mathiyazhagan , Maganti Lakshmi Sirisha 
Published: December 2022

Abstract
The concentrated solar dish collector is a promising technology for generating both electricity and thermal energy together and it is termed as concentrated photovoltaic thermal. The important component of the parabolic dish collector is the absorber; where all concentrated lights are falling. The present paper has investigated the heat flux distribution characteristics of the flat plate absorber based solar dish collector by using the ray-tracing simulations. In concentrating dish collector, rim angle and dish diameter are significant factor of the flux distributions. The present study reported the average heat flux distribution, maximum flux intensity and non-uniformity of flux distribution for different geometrical conditions. The maximum heat flux rate attains the rim angle between 35 to 55° for any dish diameter. Where the peak flux intensity raises concerning raises of rim angle and peak flux occurred at rim angle 90°. The increase of heat flux intensity causes the non-uniformity of heat flux distribution over the absorber surface. The non-uniformity factor is mainly influenced by the rim angle, not a dish diameter. When rim angle 15 & 75°, the non-uniformity is 2.5 & 10 respectively for whichever dish diameters. A critical rim angle produces the non-uniformity factor. Results shows that optimization of rim angle is a significant contribution for decreasing the non-uniformity index of concentrator; it most valuable for coupled thermal and electricity generating applications.
Thermal performance analysis of PCM building for Moderate climatic region in Bangalore City, India
Authors: Kumar S. , Sheeja R. , Ajin M. , Chandrasekar P. , Sekar S. , Sai Krishnan G.S 
Published: December 2022

Abstract
A major percentage of the energy is utilised for the building sectors for cooling the building which is used for Airconditioning systems. One of the techniques for decreasing energy consumption in building systems is passive cooling. The PCM materials was integrated in the building which is isothermal temperature for storing and retrieving the energy during a phase change. The stored PCM is a constant temperature for phase change and also gives the large potential of energy during the storing and releasing energy. The integrated building wall to prevent the solar heat infiltration into buildings and controlling the indoor temperature swing. The selection and efficiency of PCMs are highly subjective to climatic conditions where they applied. In the present study, a real time PCM integrated residential building is studied through numerical simulation using Design Builder software in moderate climatic condition in Bangalore city, India. The result shows that throughout the year, the PCM room does not required any air-conditioning device for cooling application.
Design and Mathematical Modelling of Proton Exchange Membrane Fuel Cell used in Automobiles
Authors: Micha Premkumar T , Shantha Rubia K Lindsay 
Published: December 2022

Abstract
The demand for electric vehicles is increasing day-by-day, considering a noise-free, pollution-free, and cost-efficient vehicle. But the fact that Electric Vehicles (EVs) cause less pollution than traditional IC-Engine Vehicles is not completely true, as switching to an electric vehicle produces an equal amount of pollution as in an IC-Engine vehicle. Charging an electric vehicle involves electrical energy from conventional thermal power plants, and Lithium-ion extraction and disposal pollute the air and land, respectively. The Electric Vehicle also has a lower driving range in comparison to the IC-Engine vehicles. Therefore, an alternative for both Electric and IC Engine vehicles that can significantly reduce environmental pollution and provide a better driving range is the need of the hour. Proton Exchange Membrane Fuel Cells or Polymer Electrolyte Membrane Fuel Cells (PEMFCs) will be an ideal solution to increase the driving range of the vehicle and reduce pollution. These fuel cells require hydrogen gas in a compressed state and oxygen from the atmosphere. The main objective of the research is to design and develop a PEM Fuel cell that can be used to achieve zero-emissions in automobiles. In this work, a mathematical model in MATLAB Simulink is used to simulate and test the PEM Fuel cell. The cell parameters, such as stack voltage and current density, are analyzed for various pressures, temperatures and humidification at the anode and cathode. It is observed that the model demonstrated the effect of reducing the relative humidity in both anode and cathode and results in the membrane became dry and highly resistive. So, at higher current density, more voltage drops in the fuel cell stack.