A. L. Vorontsov, D. A. Lebedeva (The Bauman Moscow State Technical University, Moscow)

The study of combined extrusion of tumblers with the co-bottom part.
Part 13. Methodology for calculating technological parameters of constrained extrusion at initial deformation by bending

The method of calculating the energy-force and deformation parameters of the process of constrained extrusion of nozzles with a conical bottom part starting from the bend of the workpiece is described. Extrusion of both non-hardening and hardening material is considered. In the latter case, the account of the hardening of the extruded material is described in detail. The above formulas make it possible to determine such important parameters of the stamping process as total and specific deforming force, maximum pressure on the die wall, and increase in yield stress.
Keywords: forging; tumblers with the co-bottom part; combined extrusion; stresses; deformations.

S. P. Glushkov (Novosibirsk State Pedagogical University, Novosibirsk), Yu. A. Pudovkin (Siberian Transport University, Novosibirsk)

Design and verification calculations of the vibration isolation mechanism of a pneumatic riveting hammer with stiffness compensation of the main elastic element

The article is devoted to the design and verification calculation of the vibration-isolating mechanism of a pneumatic riveting hammer with the stiffness compensation of the main elastic element. Graphs of the amplitude-frequency and amplitude-stiffness characteristics are constructed for different positions of the compensating elastic element and conclusions are made about the effectiveness of the vibration-isolating mechanism.
Keywords: stiffness compensation; vibration control; riveting hammer; frequency response; amplitude-stiffness response.

Ya. V. Ustinova, V. Yu. Koptev, M. N. Kruk (St. Petersburg Mining University, Saint-Petersburg)

Mechanical properties of potassium-containing ore as a factor in the choice of the material processing method

The correct choice of processing technology for potash ore depends on its mineral composition, on the natural size and shape of the grains, as well as on the number and size of halite grains located in the intergranular space of silvinites. In order to determine the natural size of silvinite grains, their shape, the content of halite in the intergranular space and the influence of these factors on the enrichability of dry methods of enrichment, the study of layers and mineralogical and petrographic studies of potash ore were carried out. The results of the reflected studies can be used by specialists of the mining industry and mechanical processing when considering the influence of the mineral composition, size and shape of grains of potassium-containing ore. The study of core material, mechanical properties, mineralogical and petrographic analysis can be used, for example, in the preparation of a feasibility study, based on the results given in the article.
Keywords: mechanical properties; material processing; potash ore properties; laboratory tests; potash-containing ore.

E. I. Kicha (NPO Gidrotekhproekt LLC, Saint Petersburg), M. A. Kicha, D. S. Malovik, V. S. Mikhailenko (Research Institute of Shipbuilding and Weapons Navy Fleet, MTSC of the Navy fleet «Naval Academy», Saint Petersburg)

Application of multi-factor analysis to forecast industrial emissions and their consequences

At the moment, there is an acute issue of resolving a wide range of existing environmental problems. It is necessary to achieve a balance between 3 key elements: economic development, maintenance of the environment and the creation of comfortable conditions for human life. One of the vectors for achieving a balance is the development of mechanisms for predicting industrial emissions based on expert information and statistical data. The state of atmospheric air deserves special attention, since industrial emissions have a significant effect on its quality. Thus, the study of industrial emissions must be approached from the standpoint of systems analysis. To solve the above problems, the authors propose to use multivariate forecasting based on an assessment of the total amount of industrial emissions diverted from the sources of the national economy. To predict the volume of industrial emissions in order to develop and implement measures aimed at ensuring environmental safety, it is proposed to use multivariate forecasting based on the fact that a multivariate regression model has been developed to estimate the total amount of industrial emissions from sources of the national economy. In this case, predictive models will be developed for each factor based on time series, for this information of two types is used: statistical data and expert opinions. It should be borne in mind that forecast models of two types can be used for time series: both linear and nonlinear. If models of a nonlinear type are used, then for the implementation of a qualitative assessment of their parameters using the method of least moduli, the most effective is the use of the Newton-Gauss method.
Keywords: multivariate analysis; systems approach; atmospheric air; industrial emissions; Newton-Gauss method.

V. S. Kuznetsov, Yu. D. Smirnov, D. S. Korelsky sciences; A. S. Shamaitis (Saint-Petersburg Mining University, St. Petersburg)

Substantiation of the structure of intelligent measuring systems for environmental monitoring in the Internet of things

The current environmental monitoring systems have a number of drawbacks that can be eliminated by re-equipping them with the use of intelligent sensors, which make it possible to implement the functions of self-diagnosis and self-calibration in order to timely respond to the failure of an intelligent measuring system. The paper considers a possible design solution for the creation or modernization of an automated post for monitoring atmospheric air in the context of studying the impact of the fourth industrial revolution on metallurgy in order to increase the efficiency of the industry through the fullest use of modern digital tools in adverse conditions of global trends and at various stages of metallurgical production.
Keywords: intelligent measuring systems; intelligent sensor; cloud computing; cloud computing device.