Purpose of research. The most important task in the field of mechanical engineering is to increase production efficiency through the rational use of equipment, increase in labor productivity, and reduce the labor intensity of technological operations while ensuring the required quality. In manual production, only the working movements of the tool are mechanized. Installation, adjustment and replacement of the tool, as well as control over its condition, are carried out by the operator or the fitter. The solution to the problem of increasing the productivity of turning operations is possible only by automating auxiliary movements.
One of several existing ways to reduce non-regrowth time is the automatic replacement of non-regrowth cutting inserts in turning tools. However, the known designs of such assembled cutters do not allow achieving the required quality of processing due to the ineffectiveness of damping vibrations arising during the cutting process. The machining accuracy during cutting largely depends on the design of the tool and the materials used in its manufacture. These materials in the construction of the tool dissipate vibration energy, thus reducing vibration and ensuring the required accuracy.
The purpose and objectives of the development are to improve the quality of processing and tool life through design solutions that increase the rigidity of the cutters and significantly damping vibrations during turning.

Methods. Use of high damping material to reduce vibration.
Results. Increasing the efficiency of damping vibrations of the cutter due to vibration isolation of its prefabricated parts from the holder with a material with high damping.
Conclusion. The proposed damping cutter with automatic change of the cutting insert allows you to achieve a technical result to improve the quality of processing, tool life and increase time between insert changes.

Energy efficient solutions reduce the amount of resources consumed, which leads to a lower total cost of ownership of real estate. The use of the BIM model makes it possible to evaluate the key indicators of energy-efficient solutions: heat transfer coefficient, specific annual values of energy consumption, fuel consumption, and carbon dioxide emissions into the atmosphere.
Purpose of research. Develop and determine the feasibility of introducing energy efficient solutions based on the use of a BIM model of a low-rise building.
Methods. The methodology is based on the study of the introduction of modern building technologies and standards in the Penza region, as well as the analysis of positive solutions to similar situations in the Russian Federation. To achieve the goal, the following tasks were solved: a BIM model was developed and the energy efficiency of a typical residential building was assessed; options for improving the energy efficiency of a typical low-rise residential building were identified; an energy report was drawn up for standard and energy-efficient buildings and the expediency of introducing energy-efficient solutions into a standard project was substantiated.
Results. When developing energy-efficient solutions, it is advisable to use modern digital technologies. The BIM model of a typical low-rise residential building makes it possible to identify thermal blocks, zones within each of them, as well as structural elements of the building through which the main heat losses occur and develop options for improving the energy efficiency of the building. Based on the thermal blocks and zones allocated in the building, energy-efficient solutions have been developed, thanks to which heat losses through window openings and the front door are reduced from 3.04 to 0.63 W/m²K and from 2.11-0.79 W/m²K, respectively. Heat losses due to changes in the design of enclosing structures: walls and floors above the first floor decreased from 0.28 to 0.25 W/m²K and from 0.18 to 0.15 W/m²K, respectively.
Conclusions.The BIM model of a building makes it possible to effectively conduct a comparative analysis of standard and energy-efficient solutions for low-rise buildings, taking into account the features of the planning solution and regional climatic features.

Рurpose of research. One of the ways to reduce the consumption of thermal energy for heating large-volume premises is a method based on the use of local systems, which include gas-radiant heating systems using light emitters. It is proposed to operate a light emitter on biogas. To determine the possibility of operation of a light emitter on biogas, it is necessary to calculate the optimal parameters of operation of a light emitter.
Methods. The research was based on the scientific works of scientists on the theory of gorenje gas mixtures and the introduction of new design solutions of gas emitters. In the course of the study, methods of optimization and calculation of gas-burning equipment were used. In order to calculate the optimal operating parameters, it is required to conduct a study of the gorenje gorenje of biogas, and to obtain the dependence of the combustion temperature. It is necessary to make changes, confirmed by calculations, to the existing design and operating mode of the light emitter operating on natural gas for operation on biogas.
Results. The features of biogas combustion are studied and the maximum gorenje gorenje temperature is determined. The possible operation of a light radiator on biogas, with a set of optimal parameters, is proved.
Conclusion. The change in the design characteristics of the light emitter during operation on biogas is justified. The results obtained can be used in the pre-design development of a new design of a light emitter for biogas of various compositions.

Purpose of research. The purpose of this study is to select a method for managing a distributed system, which, based on known parameters, would reduce the consumption of resources of computing devices. The resource of an information system is understood as the probability of failure-free operation (reliability function), which degrades over time for each node, the faster, the higher its workload.
Methods. Considering that with high dynamics of the edge layer of the network, the frequency of system reconfigurations becomes relatively high, and the need for reconfigurations is unpredictable, reducing the total time spent on reconfigurations makes it possible to increase the time spent on solving functional computational problems of the system and thereby reduce the load of nodes. The reconfiguration time can be reduced both by reducing the time for detecting a failure in a distributed system, and by reducing the new configuration forming time. In this paper, a method for reducing the time of the failure detection is considered. The analysis of the applicability of system control methods (centralized, with a distributed leader, decentralized) is based on the obtained analytical estimates of the time the system detects a failure under control conditions using one method or another. A numerical experiment makes it possible to identify areas of system parameters, where it is preferable to use the method with a distributed leader.
Results. The main result of this work is a methodology for choosing a method for managing distributed information systems in conditions of high dynamics of the network infrastructure, focused on reducing the consumption of resources of computing devices.
Conclusion. System reconfiguration time can be shortened by choosing the most appropriate control method. Thus, the time allotted for solving the functional tasks of the application increases, the workload of the computational nodes decreases, and, therefore, the FBG values increase over the planning horizon.

Purpose of research. To develop a classifier of control and verification equipment, to propose a model of a set of control and verification equipment, as well as a methodology for forming an optimal set of control and verification equipment to ensure the effective functioning of an organizational and technological system for providing mechanical assembly based on threaded connections of an automated assembly process control system at automotive cluster enterprises.
Methods. Calibration equipment set in the assembly production organizational and technological system based on thread joints of the automated assembly process control system at the enterprises of the automotive cluster is presented in the work on the basis of a set-theoretic approach. Set-theoretic models are used to describe the calibration equipment set. The method of hierarchical classification became the basis for the development of models. Formalization of the decision-making process on the formation of calibration equipment set is based on the methods of decision theory. Separate elements of the methodology are based on the use of methods of mathematical analysis.
Results. A set-theoretic model of the calibration equipment set is proposed. A classifier of calibration equipment is proposed. The technique of making a decision on the formation of calibration equipment set is described. The technique takes into account the actual load on the sensors for measuring the torque and allowing optimize the cost of calibration equipment purchasing. The cost savings from the use of the developed models, classifiers, methods and algorithms for production technological preparation and for equipment purchasing are calculated. The application of the developed models, classifiers, methods and algorithms in the conditions of an automotive cluster enterprise shows a significant reduction in the labor intensity of technological preparation of production, as well as significant savings in financial costs for the purchase of calibration equipment set.
Conclusion. The developed classifier, model and methodology for the formation of an optimal calibration equipment set make it possible to simplify managerial work at an automotive cluster enterprise and solve the problem of optimal control of calibration equipment subsystem, which is part of assembly production organizational and technological system based on thread joints of the automated assembly process control system at the enterprises of the automotive cluster.

Purpose of research. Development of a tool for debugging intelligent control system algorithms, including the development of a vision system and planning a software trajectory for an industrial robot.
Methods. To achieve this goal, a review of existing simulation tools was carried out. A protocol of contactless humanrobot interaction is presented. An algorithm for the recognition of gesture commands based on the difference of three-dimensional binary microblocks and the construction of the skeleton of the human body has been developed. An example of using the ROBOGuid software tool for imitating the motion of an industrial robot in the development and debugging of its own control methods focused on real objects is presented.
Results. The use of digital twins of technological equipment to simulate and display real technological processes in a virtual environment, in the context of the formation of a new concept of Industry 4.0 and the sixth technological order, allows improving the main and auxiliary production processes, as well as analyzing, researching and evaluating the economic efficiency of new technological and technical solutions. Simulation allows the development of ergonomic ways of human interaction with mechatronic objects. The solution proposed in the work was tested on the example of working out a complex spatial contour that simulates the milling of a part. Experimental studies of the gesture command recognition algorithm proposed in the work were carried out on the publicly available UCF101 dataset, the results are compared with known approaches to recognizing human actions.
Conclusion. The developed interface module was used on the example of working out a complex spatial contour that simulates the milling of a part, and the method of a contactless robot control system has shown its effectiveness and the need to develop this direction.

Purpose of research. The article considers the possibility of developing and modeling a fuzzy bipartite control system of the turning process based on the joint application of the program for creating virtual models MSC.Adams and mathematical analysis package Matlab. The relevance of the research topic is related to the trend of application of artificial intelligence functions in domestic and foreign machine tool industry for compensation of temperature deformations, force and vibration disturbances, tool condition monitoring, adaptive control taking into account the actual state of the cutting process in real time. In designing new control systems of the turning process, an important task is to create mathematical and virtual models and synthesis of intelligent control algorithms, providing solutions to problems under conditions of uncertain perturbations.
Methods. For the development of the mathematical model and its analysis basics of the theory of fuzzy sets in the problems of control, theory of metalworking, methods of mathematical modeling of control systems have been applied. The synthesis of fuzzy controller and virtual model have been developed with the help of modern applied software packages Matlab and MSC.Adams.
Results. The fuzzy cutting control algorithm and its implementation in the Simulink environment with the data transfer to MSC.Adams, as well as the virtual prototype of the lathe in MSC.Adams are presented in the article. Graphs of the vibration movements of the cutting edge of the tool, changes in temperature and cutting force are given and analyzed.
Conclusion. The results of model testing show that the use of joint modeling of fuzzy two-connected turning control system is possible to solve the problem of improving the efficiency of machining on the operating equipment under the influence of uncertain disturbances.

Purpose of research. Development of theoretical premises for the new inertial viscometer, as well as the development of an approximate model of the viscosity fluid flow using convolutional neural networks and laser speckle contrast imaging data.
Methods. The study consists of two parts. The first is devoted to a theoretical study of viscosity fluid flow in the toroidal channel of еру new inertial viscometer. The mathematical model of the flow includes the dimensionless equations of Navier-Stokes and convective heat conduction, the analysis of which made it possible to estimate the conditions for the uniformity of pressure and temperature fields. The numerical solution of the simplified Navier-Stokes equation was obtained by the control volume method. The computational experiment made it possible to identify additional operating conditions for the viscometer. The second part of the research is aimed at solving the problem of predicting the values of the shear strain rate on the tour surface and the flow rate. The approximate flow model is based on an ensemble of convolutional neural networks trained on data from laser speckle-contrast visualization of a fluid flow in a transparent tube.
Results. The recommendations on the operating parameters of the inertial viscometer for the studied types of liquids in a given viscosity range are obtained. An approximate model has been developed in the form of an ensemble of deep neural networks, which makes it possible to determine the volumetric flow rate and the shear strain rate on the flow surface based on fluid flow images.
Conclusion. The approximate Navier-Stokes equation obtained as a result of theoretical analysis for the flow of a viscous fluid in a toroidal channel can be used to numerical determination the kinematic viscosity. So, the necessary flow characteristics, such as volumetric flow rate and shear strain rate on the flow surface, can be found using the developed and pretrained convolutional neural network based on laser speck contrast imaging data. The test fluid can be any non-Newtonian fluid capable of reflecting coherent radiation. In particular, it can be physiological fluids, including blood.

Purpose of research. Creation of a methodology for designing a prototype of a metacomputer distributed computing system, taking into account the current stage of the evolution of hardware and cloud-network software to provide users with the means to create applications with inter-program parallelism and the ability of components to work together.
Methods. Logical models of artificial intelligence, semantic networks and conceptual graphs, agent-based technology, virtualization of network resources. The method of conducting a full-scale experiment was that when the application was launched for execution in a virtual agent-based metacomputer, a network infrastructure was used with remote access to the Fast Ethernet laboratory network via the Internet, and then time characteristics were measured.
Results. A technique for designing cloud-network metacomputer systems and applications is proposed, and prototype middleware software based on multi-agent technology is created. The goal of the study has been achieved, since the developed agent-based environment allows the implementation of universal programming control structures - transition by one or more conditions, cycle, sequence, parallelization, for which executable conceptual specifications have been introduced.
Conclusion. An approach to the implementation of a distributed metacomputer application in a computer network environment based on conceptual graphs describing the exchange of messages and data processing by software agents is proposed. The performance of the application under conditions of extraneous load on the network was demonstrated.