Vol 23, No 1 (2021)
- Year: 2021
- Articles: 23
- URL: https://journals.eco-vector.com/1990-5378/issue/view/4499
Articles
THE EXPERIMENTAL AND NUMERICAL STUDY OF THE FORCES DURING THE INCREMENTAL FORMING OF TITANIUM SHEETS
Abstract
Incremental forming is a rapid prototyping process that allows sheets to be formed without using forming tools, using a numerically controlled machine tool. A wide variety of shapes can be generated with this process. The objective of this work is to study through experimental tests and numerical simulations the behavior of ASTM grade 2 titanium during incremental point forming (SPIF). A Spinner MFG850 machining center from ISET in JENDOUBA coupled to a multi-component force sensor FN7325 was used for the forming of thin sheets by this process. As the diameter of the punch and its incremental movement are parameters having a direct effect on the forming force, tests with diameters of the punches dp varying between 10 and 15 mm and various paths made up of circular movements in the horizontal plane have been carried out experimentally. Numerical simulation is carried out in large elastoplastic deformations with ABAQUS/explicit. Comparisons of the evolution of the forming force for different values of the diameter of the punch dp and of the displacement step ∆zare carried out.
Izvestiya of Samara Scientific Center of the Russian Academy of Sciences. 2021;23(1):5-10
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DEVELOP AN INTEGRATED TECHNICAL SITUATION CONTROL SYSTEM TO CONTROL HIGH QUALITY HELICOPTERS BASED ON FIBER OPTIC TECHNOLOGY
Abstract
This article draws attention to the difficulties in developing an integrated approach, especially the evaluation and evaluation of the main helicopter technology. Fiber optic technology is a technology that allows you to create a unified system. This allows the measurement of various physical parameters such as vibration, distortion, temperature, volume and other parameters, given the magnitude of optical fiber science. RMB can be integrated into production, which is an important factor in the amount of RMB related to the design and manufacture of helicopters. The test results, the test bench, and the rotor of the helicopter and light using optical fiber transmission in the Prague fiber optic filter emphasize the importance of developing technology to track the helicopter’s use of optical fiber. Other embodiments of the use of optical transmission systems that use fiber-optic technology, such as cable warning of explosives and helicopter damage as well as system weight and transitions. The conduction system monitors air technology.
Izvestiya of Samara Scientific Center of the Russian Academy of Sciences. 2021;23(1):21-27
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AEROSPACE: DIGITAL DEVELOPMENT OF A SMART WING USING INTELLIGENT MATERIALS (SMA)
Abstract
The purpose of this article is to develop a power system using smart tools, such as Shape Memory Spectrum (SMA), to control the shape of the plane. Map the proposed smart wing includes S Springs that are attached to one end of the wing in the windshield profile. The second chain is connected each spring to the valve with the possibility of a cylinder. The upper and lower layers are made to spread the springs up and down. The summer strength is controlled by heat, which is the result of the current display. The smart suite is designed and tested to reflect the purpose of the natural interface. An efficient and effective pipeline management system is provided. Through testing and analyzing the principles, the technology improved and showed great potential for future use. Strategy - the presented system can be applied to other aircraft systems such as wings, fights, roads, and elevators. Parent / Account is a unique emotional sacrifice type. Stored materials are used to propel aircraft flow. This policy applies to wings, bars, riders, and lifters.
Izvestiya of Samara Scientific Center of the Russian Academy of Sciences. 2021;23(1):28-36
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ON THE PRODUCTION TECHNOLOGY OF PANELS MADE OF COMPOSITE MATERIALS USING SIAL
Abstract
The article analyzes the most successful results of the use of metal-polymer composite materials (MPCM), reflects the advantages at the current stage of development. The analysis of the use of composite materials in the design of helicopter gliders is carried out. The use of microtubules in the manufacture of double curvature panels using MPCM is considered. Improvement of technologies in the production of structures made of MPCM. The search for optimal parameters of the technological process in the production of panels of double curvature of components based on SIAL used in the aircraft design is carried out. The optimal technological process in terms of time resources, material costs, and design weight at different levels of serial production were considered as optimization criteria in this study. Numerical modeling and optimization of workflow parameters were performed in the NASTRAN CAE system (NX). Each of the combinations of optimized process variables was determined based on numerical modeling. Analysis of the optimization results showed that the growth of parameters of the working process leads to an expansion of the area of locally optimal parameters. With optimal parameters of the working process, it is assumed that the cost of work will be reduced.
Izvestiya of Samara Scientific Center of the Russian Academy of Sciences. 2021;23(1):37-40
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APPLICATION OF ANTIFRICTION COATINGS TO REDUCE CONTACT FRICTION IN STRETCH-FORMING PROCESS OF DOUBLE CURVATURE SHELLS ON A DIES MADE OF ALUMINUM ALLOYS
Abstract
The article presents the results of research on antifriction coatings for use on die made of aluminum alloys. The expediency of using antifriction coatings to reduce friction when stretch-forming of double curvature shells is justified. To substantiate this, we performed numerical modeling of the skin-tight forming process in the «LS-dyna» CAE system. According to the results of modeling, the following relationship is observed: the lower the coefficient of friction, the more evenly distributed the thinning deformations over the thickness of the blank in stretch-forming. Test modes for determining the coefficient of friction on the MTU-01 friction machine and methods for obtaining other basic functional and technological properties of antifriction coatings are described. The antifriction and technological properties of coatings, such as the coefficient of friction, adhesion, wear resistance, conditional hardness, the time and temperature of polymerization of the coating are determined.
Izvestiya of Samara Scientific Center of the Russian Academy of Sciences. 2021;23(1):41-47
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CONTROLS THE PLASTIC AMPLIFIER GAS DUE TO FLYING IN THE ASSEMBLY LINE
Abstract
This article test chip reactivity of carbon fiber (CFRP) samples were analyzed in a standard format. First, the nature of ultrasound uncertainty is determined, and this information is used to establish the value of the control that characterized the production of crystals up to 30 layers, with different procedures. Different input and set some Teflon to simulate the presence of desalination. Article explains that the choice for special disability (flexible, medium frequency and configuration templates), collapse can be carried out, the face of the new field in the form the respiratory tract.
Izvestiya of Samara Scientific Center of the Russian Academy of Sciences. 2021;23(1):48-54
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FORMING OF SHEET DETAILS WITH CURVILINEAR SIDES WITH ELASTOMER PRESSURE
Abstract
In the article, the authors present a method of constrained bending of sheet parts with curvilinear sides by the elastic media. They describe the process of constrained bending and the scheme of the experiment. After the first transition, a part with thinning in the radius and high side springing is obtained. The second transition, on a low-height rigging, a wave of excess material is first formed in the radius zone, which settles on the contour of the mandrel with a set of thickness. The stages of forming a semi-finished product are given. The experiment showed the feasibility of constrained bending of curved sides, wall thickness measurements showed that the second transition results in a thickening of the part wall. Finite element modeling of a constrained bend is performed to study the effect of excess of the Board on the thickening in the bending zone. Numerical studies of deformation processes have been carried out. An example of a diagram of the part thickness change for various deformation stages as a result of numerical studies is given. Dependence of part height exceeding with loss of stability during shaping is established. Examples of defects - folds are given.
Izvestiya of Samara Scientific Center of the Russian Academy of Sciences. 2021;23(1):55-59
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IMULATION MODELING OF PROCESSES OF UNIT-ASSEMBLY PRODUCTION OF AIRCRAFT PRODUCTS
Abstract
The article presents a universal simulation model of aggregate and Assembly production processes based on IDEF0 methods and numerical modeling methods. The problem statement is formed as follows: it is necessary to analyze the existing simulation tools, structure the Assembly production processes into separate classes and subclasses, describe the processes using the IDEF0 method, create a simulation model of the aggregate-Assembly production process with a link between economic and labor costs. The total labor intensity of Assembly processes and economic costs were considered as optimization criteria in this study. Numerical modeling and optimization of workflow parameters were performed in the AnyLogic simulation environment. The obtained simulation models can be used in the future in the management system of aviation enterprises, as well as in other production areas where the product is a complex system.
Izvestiya of Samara Scientific Center of the Russian Academy of Sciences. 2021;23(1):60-66
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ON THE ISSUE OF OPTIMIZATION OF TECHNOLOGICAL EQUIPMENT FOR THE TECHNOLOGICAL PROCESS OF ASSEMBLING AIRCRAFT STRUCTURES
Abstract
The article analyzes the most successful results of riveting and assembly work, the use of anti-friction coating on the beds of the assembly device, and reflects the advantages and technical capabilities of production at the current stage of development. The problem statement is formulated as follows: it is necessary to find the optimal parameters of the technological process in the production of aircraft components used in the design of the product. The optimal technological process in terms of time resources, material costs, and design weight at different levels of serial production were considered as optimization criteria in this study. Numerical modeling and optimization of the workflow parameters were performed in the NASTRAN СAE system (NX). For each of the combinations of optimized process variables, parameters were determined based on numerical modeling. Analysis of the optimization results showed that the growth of parameters of the working process leads to an expansion of the area of locally optimal parameters. With optimal parameters of the working technological process, we can expect a reduction in the cost of work.
Izvestiya of Samara Scientific Center of the Russian Academy of Sciences. 2021;23(1):67-71
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AUTOMATION OF PERSONNEL QUALITY CONTROL AS AN ELEMENT OF THE PRODUCTION SYSTEM
Abstract
This article focuses on automation of personnel quality control into the production process organization for the cost reduction, the elimination of discrepancies, meeting social distancing requirements, human capital growth.
Izvestiya of Samara Scientific Center of the Russian Academy of Sciences. 2021;23(1):72-78
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SELECTION OF THE PARAMETERS OF THE GENERALIZED DISPERSION ALGORITHM FOR MULTIVARIATE STATISTICAL CONTROL OF THE PROCESS SCATTERING
Abstract
To control the stability of the functioning of aviation equipment units based on the results of monitoring a group of indicators, methods of statistical processes control can be used. In the presence of significant correlations between performance indicators, multivariate methods are used. In this case, the control of the average level of the process is carried out on the basis of the Hotelling algorithm, the control of multivariate scattering is carried out using the generalized variance algorithm. If, according to the conditions of the process, it is necessary to ensure the fastest detection of a violation, then the optimization problem of finding such values of the sample size, sampling frequency and position of the control boundaries is solved that minimizes the average time of the unstable state of the process. The initial data are the number of process indicators monitored, the target value of the generalized variance (estimated from experimental data), the characteristic of the permissible increase in scattering, the intensity of process disturbances (parameter of the Poisson distribution); time to search for a violation after its detection and time to calculate the sample element.
Izvestiya of Samara Scientific Center of the Russian Academy of Sciences. 2021;23(1):79-83
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ANALYSIS OF MATHEMATICAL MODELS IN THE DESIGN OF NEURAL NETWORK FOR ESTIMATING THE UNIT PERFORMANCE
Abstract
Prevention of emergencies in aviation technology is largely ensured by diagnostics of the functioning of its units. Often the performance criterion is the level of vibration that influences the decision to adjust the load or shut down the unit. The article discusses mathematical models when applying neural network methods for vibration diagnostics. When using cross-validation, the initial data set with vibration data is divided into several blocks, which are grouped into three sets: training, validation, and test. To assess the effectiveness of diagnostics, three different quality criteria were used: mean error in the test set, AUC, and F-measure. For a given set of initial data, the best fitted configuration turned out to be a neural network of three layers with 18 neurons in each layer, implemented in the MATLAB package. It uses a Bayesian regularization algorithm as a learning function. The percentage of the average error in recognizing the state of the considered aggregate using the neural network turned out to be 4.85, the AUC value was 0.885, and the F-measure was 0.827. Compared to a network built in automatic mode using the Statistics and Machine Learning Toolbox and Neural Network Toolbox machine learning libraries, the F-measure of the fitted network configuration is 6.7% higher.
Izvestiya of Samara Scientific Center of the Russian Academy of Sciences. 2021;23(1):84-90
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RECOGNITION OF RADIO EXCHANGE VOICE MESSAGES IN AVIATION BASED ON CORRELATION ANALYSIS
Abstract
The paper considers the problem of speech messages recognition in phraseological radio exchange for tasks of civil aviation. The introduction substantiates the relevance of this problem. The following are research methods based on correlation analysis. Finally, a description of the experiment and the results of the recognition algorithms based on correlation analysis are given. Various variants were recorded for five speech messages and spectral representations of such signals were constructed. Spectral transform can be obtained either using specialized software or based on the Fourier transform of the signal in the time domain. To obtain a more universal reference signal and eliminate the influence of interference, the spectral components of the same speech message recorded several times were averaged. In fact, three spectra of the same speech message were used for averaging. This spectrum averaging over three training components provided a reference sample of phrases or patterns for each phrase, and reduced the influence of additive white Gaussian noise in the reference. Later, on the basis of correlation analysis, the connections between test phrases and all patterns were calculated. On the basis of these connections, a correlation matrix of reference phrases is built. Research has shown that phrases spoken by one person were highly correlated. The analysis showed that the choice of the class (the content of the speech message) when solving the recognition problem corresponding to the value of the correlation coefficient closest to one provides over 90% of correct recognitions on a test sample containing a total of 100 phrases, 20 for each phrase. It should be noted that, when recording test messages, an additive white Gaussian noise was additionally present as a background, reproduced by another audio device. In the case of information analysis without artificially generated noise, the probability of correct recognition for a test sample of 100 phrases, 20 for each phrase, is 100% when using correlation analysis.
Izvestiya of Samara Scientific Center of the Russian Academy of Sciences. 2021;23(1):91-96
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ANALYSIS OF THE STATE OF AIRCRAFT CREW MEMBER BY THE SPEECH USING GAUSSIAN MODELS OF MIXTURES
Abstract
The work is devoted to the study of the effectiveness of the application of models of Gaussian mixtures for the recognition of abnormal deviations in the speaker’s speech. The practical application of the developed algorithms for revealing the emotional state of the crew member by the phrase uttered by such crew member is proposed. The spectral characteristics of the speech signal are used as the main criterion for distinguishing using the Gaussian mixture model. In connection with a rather small sampling step in frequency and, accordingly, with the presence of 255 frequency components in the signal spectrum, it is proposed to compress the spectrum to 10 components. This approach made it possible to reduce the number of key parameters in the Gaussian model to 10, which, in turn, made it possible to simplify the analysis process when constructing multivariate distributions. To assess the quality of the proposed algorithm, test phrases were recorded. At the same time, various psychological states of the speaker were imitated. We used both simple unregulated speech structures and messages regulated in accordance with the Federal Aviation Rules when conducting radio exchange in civil aviation on the territory of the Russian Federation. Taking into account the limitations on the prior knowledge of the model and clustering by spectral characteristics, all recordings of the model were made by one speaker. Three classes of the speaker’s emotional state were considered. At the output, the recognition system put such marks as a calm state, a tired state, a stressful state. Various states were artificially simulated during data preparation. On a test sample of 48 messages, a Gaussian model of 3 components and 10 parameters without preliminary training immediately allowed to achieve a result of about 65%, while the probability of recognizing the correct class with 3 equal classes a priori is 33%. As further research, it is proposed to apply preliminary training using neural networks or correlation algorithms. This approach will allow further clustering at a deeper level, when, for example, the gender of the speaker is determined, a typical message of the radio exchange is determined, and then the emotional state of the speaker is revealed.
Izvestiya of Samara Scientific Center of the Russian Academy of Sciences. 2021;23(1):97-102
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MODELS OF SYSTEMS OF QUASIPERIODIC PROCESSES BASED ON CYLINDRICAL AND CIRCULAR IMAGES
Abstract
The behavior of objects in many practical situations has a quasiperiodic character - the presence of noticeable periodicity with random variations of quasiperiods. For example, noise and vibration of an aircraft engine, hydroelectric unit, seasonal and daily fluctuations in atmospheric temperature, etc. In this case, the object can have several parameters, therefore the object is described by a system of several time series, that is, several random processes. The emerging monitoring tasks (assessing the state of an object and its forecast) require setting a model of such a system of processes and identifying it for a particular object based on the results of its observations. In this paper, to represent a quasi-periodic process, an autoregressive model is used in the form of sweeps of several cylindrical or circular images along a spiral. Choosing the values of a small number of parameters of this model, one can describe and simulate a wide class of systems of quasiperiodic processes. The problem of identifying a model is considered, that is, determining the values of its parameters at which it, in a certain sense, best corresponds to the actually observed process. This problem is solved using a pseudo-gradient adaptive procedure, the advantage of which is its real-time operation with low computational costs.
Izvestiya of Samara Scientific Center of the Russian Academy of Sciences. 2021;23(1):103-110
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APPLICATION OF ENSEMBLE MACHINE LEARNING METHODS FOR PREDICTING THE TECHNICAL STATE OF AN OBJECT
Abstract
To ensure the reliable functioning of a technical object, it is necessary to predict its state for the upcoming time interval. Let the technical state of the object be characterized at a certain point in time by a set of parameters established by the technical documentation for the object. It is assumed that for certain values of these parameters, the object may be in a good or faulty state. It is required by the values of these parameters to estimate the state of the object in the upcoming time interval. Supervised machine learning methods can be applied to solve this problem. However, to obtain good results in predicting the state of an object, it is necessary to choose the correct training model. One of the disadvantages of machine learning models is high bias and too much scatter. In this paper, to reduce the scatter of the model, it is proposed to use ensemble machine learning methods, namely, the bagging procedure. The main idea of the ensemble of methods is that with the right combination of weak models, more accurate and robust models can be obtained. The purpose of bagging is to create an ensemble model that is more reliable than the individual models that make up it. One of the big advantages of bagging is its concurrency, since different ensemble models are trained independently of each other. The effectiveness of the proposed approach is shown by the example of predicting the technical state of an object by eight parameters of its functioning. To assess the effectiveness of the application of ensemble machine learning methods for predicting the technical state of an object, the quality criteria of binary classification are used: accuracy, completeness, and F-measure. It is shown that the use of ensemble machine learning methods can improve the accuracy of predicting the state of a technical object by 4% -9% in comparison with basic machine learning methods. This approach can be used by specialists to predict the technical condition of objects in many technical applications, in particular, in aviation.
Izvestiya of Samara Scientific Center of the Russian Academy of Sciences. 2021;23(1):111-114
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AIDED DESIGN OF TRANSPORT CONTAINERS FOR AIRCRAFT UNITS AND PANELS
Abstract
The paper describes the automation of the process of developing design documentation for containers for non-standard large-sized aircraft units and panels. The software is described, the use of which can significantly reduce the design and manufacturing time, unify individual elements of the container, which together will lead to a significant reduction in the production costs of the enterprise, as well as to a decrease in the cost of the aircraft.
Izvestiya of Samara Scientific Center of the Russian Academy of Sciences. 2021;23(1):115-122
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ENVIRONMENTAL AUDIT OF AN ENTERPRISE AS A TOOL FOR ENVIRONMENTAL SAFETY
Abstract
The article deals with one of the economic tools for environmental management - environmental audit. Currently, this type of audit is in demand in the market of environmental services for several reasons - the presence of a good environmental image as one of the competitive advantages, and the prevention of violations of environmental legislation, etc. In addition, the work carried out a step-by-step calculation of the cost of audit services for a specific organization related to nature users operating category II facilities, taking into account its financial indicators, the scale of activities and other factors.
Izvestiya of Samara Scientific Center of the Russian Academy of Sciences. 2021;23(1):126-130
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ASSESSMENT AND PROSPECTS FOR THE DEVELOPMENT OF FREIGHT AND PASSENGER TRANSPORT
Abstract
The article considers the state and dynamics and prospects of the development of water transport in the Ulyanovsk region. The identification of the main problems provides an opportunity to accelerate further targeted investment.
Izvestiya of Samara Scientific Center of the Russian Academy of Sciences. 2021;23(1):131-134
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DETERMINATION OF FACTORS AFFECTING THE FORMATION OF THE ECONOMIC SECURITY LEVEL OF MUNICIPAL FORMATIONS
Abstract
In order to determine the factors that determine the level of economic security of municipalities in the region, correlation and regression modeling was carried out, the results of clustering of municipalities are presented. The study showed that the development of its own production in the district and improvement of socio-demographic indicators have the greatest influence on the formation of the rating position of a municipality in terms of economic security, determined by the method of scoring.
Izvestiya of Samara Scientific Center of the Russian Academy of Sciences. 2021;23(1):135-140
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