Vol 29, No 1 (2025)
Mechanical Engineering
Stress-strain state simulation and calculation of a microprofile under orthogonal impact depending on loading conditions
Abstract
10-21
Analysis of changes in angular coordinates of cutting tools when conducting technological operations under different cutting conditions
Abstract
22-32
Power Engineering
Skin effect and active resistance of power transmission line wires
Abstract
33-50
Temperature control of aerial current-carrying conductors by insulation surface temperature
Abstract
51-65
A Kolmogorov-Arnold neural networks approach to state of charge estimation and confidence assessment for Li-ion batteries
Abstract
This study aims to thoroughly examine the potential of the Kolmogorov-Arnold Network (KAN) and its application to improving energy management efficiency, particularly in lithium-ion batteries. The study employs a novel method that utilizes one-dimensional adaptive activation functions parameterized by splines, in contrast to traditional neural networks, where activation functions are fixed. Traditional methods for activation function selection are based on empirical approaches and do not guarantee accurate approximation, potentially leading to suboptimal results. This approach enables the KAN to flexibly adapt to complex data structures, ensuring precise state-of-charge estimation. To objectively evaluate the algorithm's effectiveness, experiments were conducted on real datasets, focusing on analyzing the accuracy of state-of-charge estimation at confidence intervals of 95%, 90%, and 85%. The test results for various charge-discharge cycles demonstrated that the proposed method achieves high accuracy and maintains stability throughout the operation. The proposed method reduces the maximum error by at least 4.26% and significantly improves key performance metrics such as Mean Absolute Error, Root Mean Square Error. Thus, the obtained results confirm the efficiency and innovative nature of the KAN in energy management. This method holds great potential for energy management and can be effectively implemented in areas requiring precise time-series forecasting, including smart home systems, electric vehicles, and industrial devices. Future research will optimize the network architecture and expand its practical applications. Signifi-cantly, this method can be flexibly adapted to different types of batteries and energy systems, broadening its applicability in real-world conditions.
66-81
I-V curves for detecting faults of operating photovoltaic modules
Abstract
82-95
Consideration of harmonic distortions in electromagnetic simulation of artificial railroad structures
Abstract
96-106
Design and analysis of a multiphysical model of a three-phase electromagnetic exciter of low-frequency oscillations with a four-circuit power module
Abstract
107-122
Metallurgy
A procedure for preparing carbonaceous cyanidation tailings for gold fire assay
Abstract
The aim is to develop a procedure for gold analysis of carbonaceous ore cyanidation tailings bearing gold in an adsorbed form. The proposed procedure includes high-temperature washing of the solid phase of tailings using a filter followed by transferring the adsorbed gold to the washing solution. The filtrate is analyzed separately, the solid phase undergoes standard fire assay, and the total gold grade is calculated by summing the gold in the solution and that in the solid phase. Using the proposed procedure, the proportion of adsorbed gold not detected by standard fire assay decreased by 4.1 times, from 38.2% to 9.3%. The studies were conducted using additions of gold solutions with a gold balance estimation. This additionally allowed gold adsorption isotherms to be studied by natural carbonaceous matter under cyanidation conditions. It was shown that at a gold concentration of 0.01–0.05 mg/dm³ typical of industrial cyanidation tailings, the adsorbed gold value was significant at the level of 0.1–1.1 g/t. These gold losses are directly determined by the preg-robbing activity of the raw material. The K constant of Freundlich isotherms plotted as the Au loading of organic carbon, g/t vs Au concentration, mg/dm³ was 303–3037 g/t, which is only an order of magnitude lower than that for commercial activated carbons. However, the greater mass of natural carbonaceous matter and its extended surface result in substantial gold losses with cyanidation tailings. The developed analytical procedure can be used to refine the actual gold losses with cyanidation tailings of carbonaceous raw materials.
123-132
Hydrothermal interaction of sphalerite with copper sulfate solutions in the presence of sodium lignosulfonate
Abstract
133-147




