Control of ropes during the operation of machines with rope traction

The methods of rope control during the operation of lifting structures, elevators, freight and passenger cable cars, funiculars and other machines with cable traction are considered. It is indicated that the main indicator of the technical condition of ropes is the appearance, development and interaction of defects that reduce the strength of ropes, contribute to their destruction and, accordingly, an emergency situation. The analysis of existing methods of rope control is carried out, the designs of flaw detectors are described, with the help of which the technical condition of ropes can be assessed during operation. It is established that one of the promising methods of control of steel ropes is optical based on machine vision and artificial intelligence technologies

Mathematical modeling and simulation of the coupled strain space thermoplasticity problems

Using the strain space thermoplasticity theory, proposed by the first author, the coupled dynamic thermomechanical boundary value problems are formulated. The strain space thermoplasticity theory, in contrast to the existing one, allows to formulate the coupled thermoplastic boundary value problems for the displacement and temperature increments. The explicit and implicit finite difference equations for two dimensions case of the boundary value problems are constructed. The numerical solution of the explicit finite difference equations reduced to the application of the recurrent formulas, whereas the implicit scheme reduced to the application of the elimination method. Comparison shows that the numerical results obtained using the explicit and implicit schemes for aforementioned methods are coincides

Magnetocaloric Effect in BiFe1−xZnxO3 Multiferroics

Ceramic BiFe1−xZnxO3 multiferroic samples were prepared by the solid combustion method for x = 0.1, 0.15, and 0.2. Structural, magnetic, and magnetocaloric properties of the multiferroics have been studied. For all samples, an antiferromagnetic phase transition is observed in the region of 630 K. With increase in x, the reduction in magnitude of magnetization and Neel temperature is observed. The magnetocaloric properties, entropy, relative cooling power, and heat capacity have been calculated within the framework of thermodynamic theory. It has been established that the maximum changes of magnetocaloric properties of multiferroics are observed in the region of magnetic phase transition

Structure and dielectric properties of Bi0.80Gd0.20-xLaxFeO3 multiferroics

The structural and dielectric properties of Bi0.80Gd0.20–xLa x FeO3 (x = 0–0.20) samples are studied by means of X-ray diffraction and dielectric spectroscopy. Room-temperature dielectric functions are examined experimentally at 1–1010 Hz. The dielectric properties are characterized theoretically using the Debye model with Cole–Cole and Cole–Davidson distributions of relaxation times. Correlations between structural parameters and dielectric properties are established

Radiation-optical and thermo-radiation phenomena in laser phosphate glasses coactivated with neodimium and cerium oxides

For laser phosphate glasses activated by pairwise neodymium and cerium ions, a number of radiation-optical effects have been studied: thermal and thermoradiative decolorization in the region of 200-800 nm; jump-like switching of the valence of cerium ions during the valencecoordination change in its oxygen environment. A new conceptual approach is proposed to the mechanism of the thermoradiation effect of gamma irradiation at temperatures of 100- 400 C, leading to the detection of neodymium-neodymium and neodymium-cerium ion-ion coordination interactions in nano-structural complex complexes involving the structure of a glass matrix, Only thermoradiation exposure

DEVELOPMENT OF A SYSTEM FOR INTELLIGENT MONITORING OF SOLAR PANEL EFFICIENCY

<p>This thesis aims to design, develop, and implement an intelligent monitoring system for assessing and enhancing the efficiency of solar panels. The proposed system leverages advanced sensor technology, data analytics, and machine learning algorithms to continuously evaluate the performance of individual solar panels and identify factors affecting their efficiency. By providing real-time insights and recommendations, this system contributes to maximizing the energy output of solar installations and ultimately advancing the sustainability of renewable energy sources.</p&gt

DEVELOPMENT OF THE ENGINEERING DATA MANAGEMENT SYSTEM OF LARGE INDUSTRIAL ENTERPRISES

<p>In the dynamic landscape of large industrial enterprises, efficient management of engineering data emerges as a critical imperative. This thesis endeavors to address this pressing need through the development of a comprehensive Engineering Data Management System (EDMS) tailored specifically for the intricacies of large-scale industrial operations</p&gt