Technical Parameters Of System Research Articles

GRID-STEP OPTIMIZATION OF THE PARAMETERS OF THERMAL IMPACT ON THE TECHNICAL SYSTEM

The article solves applied problems of optimizing the parameters of technical systems under the influence of concentrated, discrete sources of thermal load. To improve the accuracy and speed of solving applied optimization problems, the authors propose a generalized procedure for finding the optimal thermal load parameters. This procedure consists of well-known computational methods for solving boundary value problems and ensuring the optimization of the objective function and its parameters. To calculate the values of the temperature field, it is necessary to solve a nonlocal boundary value problem of a system of nonlinear differential heat transfer equations. In order to find the conditions for the correctness of boundary value problems, the authors used the theory of pseudo-differential operators in the space of generalized slow power functions. This made it possible to guarantee the correctness of computational and applied optimization mathematical models. The procedure for grid-step optimization of the parameters of thermal action on a multilayer material proposed by the authors is based on a grid approach with discretization of the main parameters of thermal load and grinding of a large uniform grid in the vicinity of the selected node of the large grid. The directed search for local extremes of the mesh model is carried out by the nodes of the crushed mesh. The search for local extrema is performed by selecting the next node of a large grid. This approach will increase the accuracy of solving applied optimization problems by allowing further mesh refinement and refinement of the values of local extremes, and, consequently, refinement of the values of the global extremum of the objective function. The optimization of the thermal impact parameters was carried out according to the criterion of reducing damage to the test material. This makes it possible to increase the accuracy of the technological process of thermal action on a multilayer material.

Transformable building structures in architectural engineering education

In the last decade, various types of transformable building structures have been developed, such as deployable tensegrity, scissor-like and origami-inspired systems, as well as reconfigurable rigid-bar linkage and adaptive compliant structures. The development of the systems owns to advances in material design and kinetics, while aiming at an improved sustainability of the built environment. Their conceptualization and investigation have been enabled through associative parametric design and numerical analysis facilities that meanwhile provide robust digital visualizations and numerical analysis models. In principle, responsive building structures are capable to adapt to changing functional, loading, or environmental conditions. At university level, the integrated architectural design that involves an integrative development of the building form, functions and technical system parameters is increasingly enriched by performance-based design approaches through interdisciplinary experimentation and design-driven research, i.e., ‘integrated interdisciplinary design’, for the achievement of efficiency, sustainability and technological innovation in architecture. The paper discusses related influencing modes and preliminary design results of an integrated interdisciplinary approach driven by aspects of modularity, flexibility, transportability, deployability, adaptivity and interactivity, as well as their implications towards a framework of related research. The design projects presented have been supervised by the authors in recent years at the University of Cyprus and the University of Stuttgart. In all cases, the design methodology followed enables students to consider related morphological, functional and structural requirements, while being exposed to transformable building structures as related to aspects of materiality, functionality, sustainability and aesthetics.

Моделювання динаміки систем змінної структури на прикладі руху інерційного збудника на пружних опорах

Goalof the articleis to develop a mathematical model of the behavior of thevariable structure system that are affected by oscillations. The dynamic of variable structure systems is considered on the example of аmotion of theinertial vibrating exciter on elastic supports.Significance. A large number of mathematical models of elastic system dynamic under the action of moving inertial load mostly coversonly the general approach to solving these problems, or describes a specific type of equipment that is narrowly used in certain industries. The proposed mathematical model of the oscillating system offers much greater possibilities. It allows to modify the developed approach to modeling the dynamic of variable structure systems depending on their parameters. Method. Using theLagrange's equations of the second kind, the dynamic of the inertial vibration exciter on elastic supports is modeled and the factors influencing its behavior are analyzed. Results. The presented mathematical model of the massive body behavior on elastic supports with a rigidly mounted shaft allows to substantiate the inertial-rigid and force parameters of the oscillatory system. Scientific novelty.A mathematical model of the body behavior on elastic supports with a rigidly mounted shaft, which transmits rotational motion to two imbalances through an elastic connection, has been developed. Practical significance.The proposed method of calculations allows furtherto investigate ways to stabilize the variable structure system and reduce the inertial load onstructural elements, which allowsto justifythe necessary parameters of technical systems.

Концепция обеспечения готовности многофункциональной технической системы к применению по назначению на основе формирования индивидуальных моделей технического состояния ее составных частей

The scheduled preventive system of weapon maintenance and repair currently in use in the Armed Forces of the Russian Federation does not adequately correspond to the engineering level of modern multifunctional technical systems. This maintenance and repair system allows assessing the technical condition of multifunctional technical systems with the established diagnostic level, but does not allow predicting their short- and medium-term technical condition. As a result, there is a lack of complete information on the actual technical condition of multifunctional technical systems, which increases the risk of their inoperability at the time of intended use. In addition, the inability to predict the operability of multifunctional technical systems prevents timely detection and anticipation of failures and malfunctions. This leads to unplanned inoperability by reducing the alert readiness rate, and as a consequence, to significant corrective and preventive maintenance costs. Analysis of the technical conditions of multifunctional technical systems shows that the existing preventive maintenance and repair system makes it increasingly more difficult to ensure the required level of the specified operational and technical characteristics. The development and implementation of built-in automated control and diagnostic systems can provide numerical values of multifunctional technical system parameters in real time, to objectively assess their actual technical condition and predict the technical condition for a certain period of operation. These circumstances objectively raise the issue of improving the existing preventive maintenance and repair system and developing an individual system for sustaining the operational readiness of multifunctional technical systems. This paper presents the conceptual foundations of operational readiness of a multifunctional technical system based on the individual assessment of the technical state of its components and adaptive-situational management of the readiness sustainment process. The proposed approach is based on the creation of an individual technical state model for a multifunctional technical system, assessing and predicting its technical state, and adjusting the readiness sustainment program through adaptive situational management. The proposed approach ensures the required level of readiness and reliability of multifunctional technical systems operating in a dynamically changing environment.

Modeling of supply processes for perishable foodstuffs

Contemporary experience has proved the necessity of ensuring unity in the transport and logistics systems of food supplies. This is particularly relevant for perishable goods, the acceleration of delivery dates directly impacts their safety and quality. The article considers the problem of creating an effective transport process for perishable food supply chains. The analysis of influencing the efficiency of perishable food supply chains and the main principles and approaches to improve the transport support of perishable food products have been substantiated. The constructed theoretical model of a technological transportation system for perishable food goods considers compatibility (adaptability) of transport machines with agricultural machinery; technological parameters of technical systems; adaptability of technical systems to environmental conditions and technological properties of perishable food cargoes; transport and technological cycles parameters.

On the Calculation of Functional Safety Parameters of Technical Systems

Now the scientific methodology is created, the theory and practice of the analysis and synthesis of functional safety of responsible electronic programmable devices and systems at all stages of their life cycle are developed. The basics of the methodology are fixed by standards. Methods of analysis and synthesis of functional safety are strictly formalized. They are based on the calculations of functional safety indicators with respect to failures of constituent elements and, especially, dangerous and protective failures of the system. Known methods of calculation are focused on determining the intensity and probability of dangerous failures. The objective of the proposed method lies in the fact that, in graph form, without resorting to the solution of the system of equations in the operator transformations to establish the distribution function of time until the threat or security failure, or any unhealthy condition of the system. These distribution functions determine all the necessary indicators of mean time (and, if necessary, the variance of this time) to a dangerous or protective failure. The proposed semi-Markov (Markov) operator method allows to solve a number of problems of calculation and prediction of functional safety of critical (responsible) systems. The method is formalized and suitable for subsequent computer implementation. This fact testifies to the expediency of further development of graph methods, convenient for the study of the safety of complex critical systems, devoid of the shortcomings of the proposed method in terms of the complexity of the preparatory work to determine the analytical expressions of transition probabilities in the Laplace - Stieltjes transformations. The given example of using the method has an independent value – it allows you to assess the advantages and disadvantages of ensuring functional safety by building a two-channel system without restarting the channels

Mathematical Apparatus for Selection of Optimal Parameters of Technical, Technological Systems and Materials Based on Vector Optimization

We presented Mathematical apparatus of the choice of optimum parameters of technical, technological systems and materials on the basis of vector optimization. We have considered the formulation and solution of three types of tasks presented below. First, the problem of selecting the optimal parameters of technical systems depending on the functional characteristics of the system. Secondly, the problem of selecting the optimal parameters of the process depending on the technological characteristics of the process. Third, the problem of choosing the optimal structure of the material depending on the functional characteristics of this material. The statement of all problems is made in the form of vector problems of mathematical (nonlinear) programming. The theory and the principle of optimality of the solution of vector tasks it is explained in work of https://rdcu.be/bhZ8i. The implementation of the methodology is shown on a numerical example of the choice of optimum parameters of the technical, technological systems and materials. On the basis of mathematical methods of solution of vector problems we developed the software in the MATLAB system. The numerical example includes: input data (requirement specification) for modeling; transformation of mathematical models with uncertainty to the model under certainty; acceptance of an optimal solution with equivalent criteria (the solution of numerical model); acceptance of an optimal solution with the given priority of criterion.

Mathematical model of solid impurity coagulation processes in liquid suspensions based on random function convolution operation

Methodology of modeling and identification of mathematical model of process of coagulation of solid impurities in liquid suspensions on the basis of linear mathematical apparatus - convolution of random functions is presented. The non-linearity of the coagulation process is taken into account by the mathematical model of the second level, namely, the time dependence of the weighted random convolution function, which is a characteristic of the type of coagulation and physico-geometric parameters of technical systems for cleaning liquid media. This approach has proven itself in applied problems, provides a solution to the problems of calculating and optimizing cleaning systems for arbitrary initial distributions of the dispersed composition of particles, and is characterized by reduced time and resource costs.

Software Complex for Automated Diagnostics of Internal Parameters of Technical Systems

Software Complex for Automated Diagnostics of Internal Parameters of Technical Systems

Determination of system connections of hot rolled steel sheet manufacturing process

System analysis is used to state links between input and output parameters of any technical system taking into consideration flows of material, energy, and information. This approach makes it possible to find effective ways for improvement of technical system parameters. The paper presents results of system analysis application for multioperational technological process steel sheet of hot rolling. Structural scheme of metal sheet hot rolling process is presented based on principles of system analysis. Hot rolling technological operations such as workpiece heating, hot rolling, cooling, and coiling are presented as subsystems. Due to the obtained schemes metal sheet parameters are stated which have to be controlled during each technological operation of hot rolling technological process. The obtained results can be used as the basics for mathematical modeling of steel sheet hot rolling operation in order to get the final product with the required set of properties.

Application features of fuzzy controllers on example of DC motor speed control

A prerequisite for the use of intelligent control methods, including algorithms of fuzzy logic, is increasing complexity in all industries, especially when parameters of technical systems while in operation vary in wide range. The paper provides comparative analysis of the basic types of common fuzzy direct action controllers on the example of speed control system in the DC motor drive. Design features of these types of fuzzy controllers are shown. Their comparison with traditional PI controller is carried out through the use of simulation, including the conditions of uncertainty expressed in changing of equivalent moment of inertia of the motor shaft. As a result, the conclusion about the feasibility of fuzzy PID-type controller application is made. The features of fuzzy controllers outlined in the paper can be summarized to more complex motor drive systems and to other non-linear systems that require the maintenance of any parameter within a given range.

Modeling Parameters of Reliability of Technological Processes of Hydrocarbon Pipeline Transportation

On the basis of methods of system analysis and parametric reliability theory, the mathematical modeling of processes of oil and gas equipment operation in reliability monitoring was conducted according to dispatching data. To check the quality of empiric distribution coordination , an algorithm and mathematical methods of analysis are worked out in the on-line mode in a changing operating conditions. An analysis of physical cause-and-effect relations mechanism between the key factors and changing parameters of technical systems of oil and gas facilities is made, the basic types of technical distribution parameters are defined. Evaluation of the adequacy the analyzed parameters of the type of distribution is provided by using a criterion A.Kolmogorov, as the most universal, accurate and adequate to verify the distribution of continuous processes of complex multiple-technical systems. Methods of calculation are provided for supervising by independent bodies for risk assessment and safety facilities.

Parametric synthesis of technical systems based on the linear approximation of the operational capability range

A method for determining the optimal internal parameters of technical systems, based on the analytical description of the operational capability range, which is defined as a set of linear constraints, is considered. An expression for the objective function, which allows one to use any known search method for optimizing the system by the criterion of the operational capability reserve, is derived.

Image synthesis for autostereoscopic systems

The article considers image synthesis for autostereoscopic systems -- systems that enable the viewer to perceive three-dimensional images without any special devices, such as glasses. The general image synthesis problem for such systems is stated and an efficient algorithm is proposed for its solution. Some applications of the proposed methodology for two types of units are described: a stereo display and a stereo projection system. We examine the optimization of technical system parameters with the objective of enlarging the region where the viewer sees a three-dimensional image.

Measuring the equivalent beam angle of echo sounders with split-beam transducers

When trying to measure the numerical density of marine animal populations with scientific echo sounders, several technical system parameters are determined through a standard-target calibration. The acoustic scattering properties of standard targets are known a priori. In a typical standard-target calibration the system gain and the transducer beam pattern are estimated. The system gain parameter is used both when measuring volume backscattering strength and when measuring target strength. The calibrated beam pattern is currently used only for target strength estimation. However, measurements of mean volume backscattering strength also require knowledge of the effective sampling volume of the acoustic beam, namely the equivalent beam angle. This parameter is typically not determined during an ordinary echo sounder calibration. A method for measuring the equivalent beam angle and the transducer angle sensitivity of a specific split-beam transducer is described, and results from exemplary calibrations are presented. Changes in the calibration parameters as a function of environmental parameters, especially the sound speed in water, are discussed.

RECONSTRUCTING PHYSICAL VARIABLES AND PARAMETERS FROM DYNAMICAL SYSTEMS

Variables and parameters of a dynamical system are recovered from a previously generated data base using the time delay reconstruction of states from a single observable. This method may be used for efficiently monitoring variables or parameters of technical systems that are difficult to access. Its application to an electronic oscillator is demonstrated experimentally.

Automated system of calculating and estimating maximum permissible deviations of controlled parameters of technical systems

Automated system of calculating and estimating maximum permissible deviations of controlled parameters of technical systems

Improved measurement reliability for technical system parameters

Improved measurement reliability for technical system parameters