bluuebunny/crossref_metadata_2025_split huggingface dataset:
Energy efficiency of an absorption thermotransformer with two-stage absorption as part of a heat and cold supply complex based on a gas boiler house
Authors: Stepanov K I , Mukhin D G 
Published: December 2021

Abstract
The article proposes a scheme for using a lithium bromide absorption thermotransformer (LBATT) with two-stage absorption for deep utilization of the heat of combustion products (CPs) of gas boilers. At the same time, this solution allows heating the dictrict heating systems return water in the cold season. In the warm season, LBATT is used to cool the water of the air conditioning system or process equipment cooling. In this case, heat removal from LBAHT with two-stage absorption in the warm season is carried out using an drycooler. The analysis of the effectiveness of the use of LBATT in the cold and warm seasons is carried out. The theoretical transformation coefficient of LBATT with deep utilization of flue gases reaches 1.72. The theoretical thermal coefficient of LBATT when cooling water in the warm season reaches a value of 0.7.
Increasing the efficiency of electric submersible pumps by using big data processing and machine learning technologies
Authors: Abdurakipov S 
Published: December 2021

Abstract
The current coverage of oil wells with telemetry does not allow timely determination of deviations in the operation of about 40% of electric submersible pumps. To solve this problem, a model of virtual sensors has been developed that allows the prediction of temperature and pressure growth at the pump intake in the absence of submersible sensors based on modern big data processing and machine learning technologies. The developed models of virtual sensors are embedded directly into the process control system, which allows notifying the technologists and operators about a possible reduction in the planned average pump operating time and their possible failures for various reasons.
Radiation of argon clustered flow particles outside the exciting electron beam
Authors: Dubrovin K A , Zarvin A E , Rebrov A K , Konstantinov S E , Borynyak K I , Yaskin A S , Kalyada V V 
Published: December 2021

Abstract
The spectral study results of a supersonic clustered argon flow stimulated emission in the region of particle excitation (on an electron beam) and downstream are presented. Anomalies in the luminescence of the traditional spindle-shaped jet and the flow of heavy clusters (“wake”) are discussed. Possible causes of the observed anomalous phenomena are presented on the basis of the given comparisons of the results obtained.
Dynamics of bubble growth under a heated substrate
Authors: Kochkin D Y , Mungalov A S , Derevyannikov I A 
Published: December 2021

Abstract
This paper investigates the growth dynamics of a vapor-gas bubble pressed against a heating plate by the buoyancy force. The shadow method was used to capture images, which were then automatically processed to calculate the size of the bubble. As expected, the bubble dynamics significantly depends on the heating power. It was found that the ratio of bubble diameter to bubble height increases as it grows.
Thermophysical properties of NP2 brand nickel
Authors: Samoshkin D A , Agazhanov A Sh , Stankus S V 
Published: December 2021

Abstract
The heat capacity and the thermal diffusivity of NP2 brand nickel were investigated in the temperature interval 296–1000…1375 K of the solid-state, including the region of the magnetic phase transformation. Measurements were carried out on samples from one initial ingot by laser flash technique and method of differential scanning calorimetry using LFA-427 and DSC 404 F1 setups, respectively. The thermal conductivity was calculated based on the measured thermophysical properties. The estimated errors of the obtained results were 2–4%, 3–5%, and 2–3% for thermal diffusivity, thermal conductivity, and heat capacity, respectively. For investigated thermophysical properties the fitting equations and the reference table have been received.
The linear thermal expansion coefficient of Inconel 617 alloy
Authors: Kozlovskii Yu M , Stankus S V 
Published: December 2021

AbstractThe experimental results of a study of the thermal expansion of Inconel 617 alloy in the temperature range of 293.15-1460 K are presented. An anomalous change in the thermal expansion coefficient at high temperatures was detected. The initial data are obtained with an error within 3%. The approximation equations and the table of reference values for the temperature dependence of the volumetric properties are obtained.
Numerical study of thermal stress of a silicon mirror forming a beam of synchrotron radiation
Authors: Finnikov K.A. , Vinokurov V.V. , Nikolenko A.D. , Zubavichus Y.V. , Kabov O.A. 
Published: December 2021

Abstract
Numerical simulation of heat transfer in a mirror for focusing a synchrotron radiation beam and its thermally stressed state has been carried out. The choice of the method for cooling the mirror through contact with the water-cooled plates, which provides the specified limitations on thermal deformation, has been substantiated. The modes of heat transfer, implemented under different conditions of heat transfer at the boundary of the mirror with water-cooled plates, are compared.
Analysis of ribbed tube heating in the cooling system
Authors: Gizzatullina A F , Mischenkova O V , Pushkarev F N , Terentyev A N 
Published: December 2021

Abstract
The paper presents the solution of the conjugated heat exchange problem in a cylindrical ribbed tube using the open integrated platform OpenFOAM. The obtained results allow estimating the fluid heating along the channel as well as the temperature difference on the walls of the tube. It is shown that the minimum temperature difference of the fluid is observed in the center of the tube, and the maximum one is closer to the tube walls.
Aerodynamics of airfoil moving along a circular trajectory
Authors: Bozheeva D M , Dekterev D A , Dekterev Ar A , Dekterev A A , Platonov D V 
Published: December 2021

Abstract
An experimental and computational study of the NACA0016 airfoil has been carried out for two cases: a stationary airfoil in an incoming flow on an aerodynamic stand and an airfoil moving along a circular trajectory in a stationary flow in a hydrodynamic stand. The Reynolds number for both cases was 60000. A qualitative comparison of the velocity fields for the cases with smooth airflow and boundary layer separation was carried out. It is shown that the used calculation methods describe the task under study with sufficient quality.
Modeling the conjugate problem of heat transfer at hot jet impingement onto a cooled surface
Authors: Lukashov V V , Naumkin V S 
Published: December 2021

Abstract
The paper solves the problem of thermal conductivity inside a flat plate under the impact of a hot jet of nitrogen impinging from one side and cooled by a gas flow from the other side. In this formulation of the problem, there may be local maxima and minima of the temperature inside the plate, caused by an uneven distribution of heat fluxes along the plate.
Influence of thermal gravitational-capillary convection on temperature fields in a thin wall
Authors: Bodneva N I , Berdnikov V S , Grishkov V A , Mikhailov A V 
Published: December 2021

Abstract
The development of convective flow in a layer of ethyl alcohol when heating one of the vertical walls of a rectangular cavity was investigated experimentally. Thermal films were obtained, whose processing allowed plotting in time the distribution of temperature and temperature gradients on the free surface of the liquid layer and the opposite thin vertical wall of the cavity after the flow of heated liquid on it.
Numerical and physical study of transitions to unsteady modes of melt flow with the Prandtl number 16 in the Czochralski method
Authors: Berdnikov V S , Vinokurov V A , Vinokurov V V 
Published: December 2021

Abstract
The evolution of the flow structure and heat transfer with an increase in the characteristic temperature drop in the ranges of Grashof and Marangoni numbers 3558 ≤ Gr ≤ 7116 and 2970 ≤ Ma ≤ 5939 are investigated numerically. The boundary of the transition to unsteady flow and heat transfer regimes has been determined.
Design features of a high-vacuum steam jet pump and some results of its tests
Authors: Petrova I V , Ermolov V I , Rebrov A K 
Published: December 2021

Abstract
This paper presents an original design of a high-vacuum steam jet pump in which a heater made of a heating cable is immersed in a working fluid located in a stainless steel boiler. At the same time, the boiler itself is vacuum isolated from the pump housing. There is also a heater made of a heating cable in a stainless steel shell, made in the form of a spiral and immersed in a working fluid. Such an arrangement of the heater is possible only when a liquid with a homogeneous chemical composition and a low saturated vapor pressure is used as a working fluid in high-vacuum pumps.
Analysis of the possibility of a submarine implosion using finite element method
Authors: Kiciński R , Szturomski B , Świątek K 
Published: December 2021

Abstract
Recently, there have been reports of disasters related to the disappearance of submarines. One of the potential causes of disasters is the ship’s descent to the so-called critical depth and its subsequent implosion. However, the occurrence of the submarine implosion phenomenon may be difficult to achieve. This is due to the presence of hydraulic fittings and other more susceptible hull components. The article presents an analysis of the strength of a fragment of the submarine’s hull, modelled on Kobben-class ships, to demonstrate the possibility of an implosion. Furthermore, the construction of submarines was presented, and phenomena related to the strength of submarine hulls using FEM were discussed.
Modelling of hardfacing layers deposition parameters using robust machine learning algorithms
Authors: Zając K , Płatek K , Biskup P , Łatka L 
Published: December 2021

AbstractThe study presents a data-driven framework for modelling parameters of hardfacing deposits by GMAW using neural models to estimate the influence of process parameters without the need of creating experimental samples of the material and detailed measurements. The process of GAS Metal Arc Welding (GMAW) hardfacing does sometimes create non-homogenous structures in the material not only in deposited material, but also in the heat-affected zone (HAZ) and base material. Those structures are not fully deterministic, so the modelling method should account for this unpredictable component and only learn the generic structure of the hardness of the resulting material. Artificial neural networks (ANN) were used to create a model of the process using only measured samples without any knowledge of equations governing the process. Robust learning was used to decrease the influence of outliers and noise in the measured data on the neural model performance. The proposed method relies on modification of the loss function and several of them are compared and evaluated as an attempt to construct general framework for analysing the hardness as a function of electric current and arc velocity. The proposed method can create robust models of the hardfacing layers deposition or other welding processes and predict the properties of resulting materials even for unseen parameters based on experimental data. This modelling framework is not typically used for metallurgy, and it requires further case studies to verify its generalisability.
FEM analysis of the manufacturing of hollow forgings from a tube billet
Authors: Bulzak T , Winiarski G , Wójcik Ł , Szala M 
Published: December 2021

Abstract
The study presents an analysis of the manufacturing process of a hollow forging. The process was proposed to consist of three stages. In the first stage (extrusion) wall thickness was reduced and the flange was formed. In the two subsequent stages the flange was formed. The material flow was examined using FEM. The issue of defect occurrence in the area of a hole caused by the material moving away from the mandrel was especially researched. Moreover, the strain state was analysed in the following forging operations. The distribution of the fracture criterion was presented. Moreover, a prediction of the forces necessary for the process to be performed in real conditions was carried out. The conclusion is that the proposed scheme of forming hollow forgings may be implemented in industrial conditions.
Cold forging of a hollow flanged part by an unconventional extrusion method
Authors: Winiarski G , Bulzak T , Wójcik Ł , Szala M 
Published: December 2021

Abstract
This paper presents a numerical analysis of a new cold forming process for a hollow part with an external flange. The following techniques were used: forward extrusion, an unconventional method of extrusion with a moving sleeve, and upsetting in a tapered die cavity. The billet (42CrMo4 steel tube) was formed at ambient temperature. The study aimed to investigate the proposed method in terms of forged part accuracy. The following are examined and discussed: material flow, process force parameters in relation to tool strength, energy consumption of individual operations, as well as the distributions of strains, stresses, temperature and Cockcroft-Latham integrals in the produced part. The study has confirmed that hollow forged parts with external flanges of relatively large diameters and heights can be cold formed in several operations using different techniques.
Application of artificial neural network (ANN) for water quality index (WQI) prediction for the river Warta, Poland
Authors: Kulisz M , Kujawska J 
Published: December 2021

Abstract
The aim of this paper is to present the potential of using neural network modelling for the prediction of the surface water quality index (WQI). An artificial neural network modelling has been performed using the physicochemical parameters (TDS, chloride, TH, nitrate, and manganese) as an input layer to the model, and the WQI as an output layer. The physicochemical parameters have been taken from five measuring stations of the river Warta in the years 2014-2018 via the Chief Inspectorate of Environmental Protection (GIOŚ). The best results of modelling were obtained for networks with 5 neurons in the hidden layer. A high correlation coefficient (general and within subsets) 0.9792, low level of MSE in each subset (training, test, validation), as well as RMSE at a level of 0.624507639 serve as a confirmation. Additionally, the maximum percentage of an error for WQI value did not exceed 4%, which confirms a high level of conformity of real data in comparison to those obtained during prediction. The aforementioned results clearly present that the ANN models are effective for the prediction of the value of the Surface water quality index and may be regarded as adequate for application in simulation by units monitoring condition of the environment.
Numerical calculations of the autorotating rotor under transient conditions
Authors: Czyż Z , Kazimierska A , Karpiński P , Skiba K 
Published: December 2021

Abstract
It is necessary to evaluate the performance of the main rotor in design stages of a rotorcraft to obtain the assumed lift force and low aerodynamic drag. This paper presents the CFD numerical analysis of the autorotating rotor under transient conditions. Auto-rotation is particularly important in the case of gyrocopters, while in the case of helicopters it is related to flight safety. The calculations allowed us to obtain aerodynamic forces and torque as a function of rotor azimuth for individual rotor blades. The analysis was performed for a rotor tilted by 15 degrees toward the airflow direction. A geometric model was created for the calculations and then a computational model was created in Ansys Fluent software. The k-ω SST model was adopted as the turbulence model which considers the turbulence kinetic energy and its unit dissipation. The obtained results are presented in a rotor and flow coordinate system.
Research on the Calibration Method of Torque Sensor
Authors: Cheng Lei , Su Yang , Wang Lifang 
Published: December 2021

Abstract
Remote calibration has the property of real-time and remote location, and can be used to control the calibration method for the calibration instrument. It is an effective method to improve the calibration efficiency. Based on the torque sensor calibration method for research, because the remote calibration technology has complex structure, calibration are not allowed to wait for a characteristic, through the remote technology combined with a torque sensor automatic calibration technology, analyze the torque sensor remote calibration technology research, which not only can improve the traditional calibration technology cycle is long, low efficiency of faults. Remote calibration technology based on the basic methods and characteristics are studied, by using the method of torque meter calibration, according to the characteristics of torque sensor, choose corresponding calibration program and method, which can effectively improve the technical problems in the process of system design and analysis of torque sensor remote calibration method research, in addition, through the analysis of electromagnetic interference technology research, which can restrain the interference is proposed; Finally, the remote calibration technology of the torque sensor is effectively improved through the calibration experiment of the system debugging.
Research on Key Technology of Security and Privacy Protection of Distribution Network Information Physical Fusion System
Authors: Tong Donghui , Di Zhuo , Ding Yi , Zhai Xianhui 
Published: December 2021

Abstract
As one of the most critical contents in the field of modern interdisciplinary research, information physical fusion not only changes the way of human interaction, but also promotes the development of modern information processing and development. Therefore, on the basis of making clear the current operation situation of distribution network information physical fusion system, this paper makes a simple understanding of the key technologies to guarantee system security and privacy from four aspects: security threat and response, crisis state and access control, reputation and trust management, and idle state monitoring algorithm.
One Early Warning and Traffic Control Method for Satellite Communication System and the Implement of Time Prediction Algorithm
Authors: Yang Qiang 
Published: December 2021

Abstract
This article introduces an early warning and control method of user satellite communication traffic applied to satellite communication system. Due to the high communication cost of transportation satellites, in order to avoid high communication bills, the full-service ability to collect call data records (CDR) by Transportation Satellite Business Support System is required to provide early warning and business control over the four dimensions of voice, data, text messages, and package fees for satellite communications. At the same time, the system predicts the typical user behavior through the time series prediction Prophet algorithm, which serves as the default reminder rule to achieve full coverage of users.
Research on the Design of Digital Signal Processing Algorithm Based on Spark Parallel Calculation
Authors: Ming Yifan , Li Rui 
Published: December 2021

Abstract
Digital signal processing as a key and difficult point of network technology research and development, currently commonly used content such as LabVIEW. But from a practical point of view, while these techniques can be used to process real-time signals, they can’t handle historical offline data. The Spark parallel computing studied in this paper can be used to process offline signals. Therefore, on the basis of understanding the development trend of Spark parallel computing framework, the distributed Mallat algorithm is analyzed based on Spark parallel computing engine, and the application performance of the corresponding algorithm is verified.
Application of Fuzzy Mathematics Algorithm in Computer Speech Recognition
Authors: Zhou Xuan 
Published: December 2021

Abstract
Speech recognition, as one of the key artificial intelligence technologies in modern development, plays an important role in any aspect. However, there are still problems in practical application, such as poor anti-interference and low degree of perfection. Therefore, this paper aims at the content of existing computer speech recognition technology, grasps fuzzy mathematical algorithm, and analyzes how to use this algorithm to better study computer speech recognition.
Implementation and Application of Fall Detection on Mobile Perception Robot
Authors: Chen Zeyu 
Published: December 2021

Abstract
With the rapid increase in the number of people living in the elderly population, reducing and dealing with the problem of falls in the elderly has become the focus of research for decades. It is impossible to completely eliminate falls in daily life and activities. Detecting a fall in time can protect the elderly from injury as much as possible. This article uses the Turtlebot robot and the ROS robot operating system, combined with simultaneous positioning and map construction technology, Monte Carlo positioning, A* path planning, dynamic window method, and indoor map navigation. The YOLO network is trained using the stance and fall data sets, and the YOLOv4 target detection algorithm is combined with the robot perception algorithm to finally achieve fall detection on the turtlebot robot, and use the average precision, precision, recall and other indicators to measure.
Research on the Method of Machine Learning Algorithms in Ecological Construction
Authors: Xia Binjie 
Published: December 2021

Abstract
In the rapid development of modern artificial intelligence, for the development of ecological construction, how to rationally use machine learning to promote the development of agricultural economy has become a focus of practice and scientific research. This paper takes ecological image recognition as an example to analyze how to use support vector machine in image processing technology and machine learning in deep learning to conduct in-depth research, and to optimize and improve the algorithm to build an ecological image recognition model.
Design Specification for Network Fault Diagnosis System
Authors: Cao Lu , Wang Baosheng 
Published: December 2021

Abstract
As the network becomes more and more complex and heterogeneous, the problem of network management becomes more and more prominent. The research and application of network management is of great significance for ensuring the normal operation of network and improving the reliability and availability of network system. The main problems of network management are network configuration, failure, performance, security, planning and scaling, etc. On the basis of in-depth research and discussion on network management and fault management, this paper designs the system requirements of network fault diagnosis system.