• TECHNOLOGIES

    Modeling of Densification Kinetics during Electro-Pulse Consolidation of Titanium Powder

    Machines. Technologies. Materials., Vol. 20 (2026), Issue 3, pg(s) 103-107

    This study presents a theoretical investigation of the densification kinetics of titanium powder during electro-pulse consolidation. A mathematical model was developed to analyze the influence of electrical current parameters in different sintering regimes – direct current (DC), alternating current (AC), pulsed current, and their superposition – on the thermophysical processes governing sintering.
    The heating rates and the evolution of relative density were calculated for different applied pressing pressures. The results show that the superposition of currents is the most energy-efficient regime. This regime enables the material to reach a relative density above 99% within a minimal processing time. The effect is attributed to the combined action of intense Joule heating and the electroplastic effect.

  • TECHNOLOGIES

    Plasma technologies for the synthesis of wear-resistant multifunctional metal matrix composites of the Al–TiC System

    Machines. Technologies. Materials., Vol. 19 (2025), Issue 9, pg(s) 328-331

    A novel two-stage approach for obtaining wear-resistant multifunctional powder composites based on metal powders with highmodulus Ti–TiC system fillers is proposed. The method combines high-voltage electric discharge (HVED) treatment and spark plasma sintering (SPS), offering a promising alternative to conventional techniques for producing Al–Ti–C system composites. This approach enables the development of a unified route for material synthesis using high-energy-density processing. HVED treatment prevents oxidation of metal particles, reduces contamination by tool materials, and initiates the synthesis of additional dispersed strengthening phases. For example, HVED treatment of titanium powder in a hydrocarbon liquid promotes the in situ formation of titanium carbide (TiC) particles.
    The present work investigates the influence of adding Ti–TiC powder—synthesized via HVED in ethanol under reverse polarity mode with a specific energy input of 20 MJ/kg—on the structure, phase composition, and properties of Al–Ti–C metal matrix composites (MMCs). It was shown that the addition of 2 wt% of Ti–TiC powder synthesized via HVED in ethanol to aluminum powder results in an MMC with an electrical resistivity of 0.5 Ω·mm²/m and a hardness of 31 HRB. However, the heat resistance of this composite is 2.5 times lower than that of consolidated pure aluminum powder. Increasing the Ti–TiC content to 10 wt% leads to the formation of a wear-resistant Al–Ti–C composite, whose structure includes Al, Ti, TiC, the intermetallic compound Al₃ Ti, MAX phases Ti₂ AlC and Ti₃ AlC₂ , and free carbon. For the MMC sample with the addition of 10% Ti–TiC, the mass gain per cycle during the heat resistance test is 0.23%/cycle, whereas for samples made from consolidated Al powder it is 0.18%/cycle, indicating that their heat resistance is approximately the same. The wear resistance of this composite is more than three times higher than that of the consolidated base aluminum powder, with wear rates of 0.003 g/km and 0.010 g/km, respectively. This material also demonstrates a hardness of 43 HRB and relatively low electrical resistivity at the level of 0.3 Ω·mm²/m.

  • TECHNOLOGIES

    Using machine learning methods to predict processes and outcomes of high-voltage electrical discharge treatment of titanium powder in alcohol with implementation of volume-distributed multi-spark discharge

    Machines. Technologies. Materials., Vol. 19 (2025), Issue 7, pg(s) 252-256

    High-voltage electrical discharge (HVED) treatment of powder mixtures is a modern, efficient, and economically advantageous method for both particle size reduction and modification of the material’s phase composition. The primary mechanisms of particle destruction within the discharge zone include shock waves, microcavitation, ablation, collisions with chamber components, and mutual abrasion between particles.
    The application of machine learning methods to model HVED processes for titanium—a promising material for composite applications— enables more accurate predictions and optimization of the technological workflow.
    The data used for modeling were obtained between 2013 and 2021 and include results from the treatment of the initial titanium powder (with an average diameter of d₀ = 60 μm) in ethanol. This setup enabled the formation of a volume-distributed multi-spark discharge (VMD) within the ethanol–powder dispersed system. The dataset includes information on the number of treatment pulses, discharge gap, pressure in the discharge channels, pressure on the chamber walls, and the amount of titanium carbide formed during the treatment process.
    It was shown that the concentration of TiC gradually rises with the increase of specific treatment energy, regardless of the interelectrode gap. Specifically, at a specific energy (Ws) of 5 to 15 MJ/kg, the amount of titanium carbide reaches 10%; at 15 to 30 MJ/kg, it increases to 20%; and at energy levels above 30 MJ/kg, the TiC content reaches 30%.
    Keywords: Ethanol, Titanium, Titanium Carbide, High-Voltage Electrical Discharge, Volume-Distributed Multispark Discharge, Electric Discharge Dispersion, Plasma Technologies, Machine Learning, Logistic Regression, Random Forest

  • TECHNOLOGIES

    Increasing the cutting machinability of 18ChGT steel due to increased sulfide content

    Machines. Technologies. Materials., Vol. 18 (2024), Issue 5, pg(s) 153-155

    When machining steel gear blanks for a long time, problems are observed during their turning and machining. Attempts to improve machinability using various heat treatment methods have not been successful. In this regard, the possibility of the influence of changes in the chemical composition of steel on its machinability was analyzed. The goal was set for the machinability of serial steel 18ChGT to be similar to the machinability of automatic steel, without reducing its mechanical properties. The improvement in machinability by cutting automatic steels is due to the presence of inclusions in its structure, which increase the fragility of the chips. These can be chemical compounds of metals (sulfides, phosphides, selenides, etc.), or inclusions of low-strength metals, for example, lead. The analysis of metallurgical processes for steel production led to the conclusion that the use of sulfides is economically feasible. When processing gears made of steel with a high sulfide content, the average resistance of the WNMG080408 pass plate was 214 pieces on the edge, and when processed from serial steel 18ChGT, the average resistance is 180 pcs on the edge, no changes were recorded for the rest of the properties. Also, when processing 18KChGT steel with a high sulfur content, chip formation was improved, and a reduction in lost working time was observed due to a fourfold reduction in the need to replace reusable containers for chips.

  • TECHNOLOGIES

    Further development of the possibility of creating composite coatings from ash microspheres on a steel basis

    Machines. Technologies. Materials., Vol. 16 (2022), Issue 9, pg(s) 315-317

    The article is devoted to the solution of an important scientific and technical problem of development of new composite coatings with the use of industrial waste of thermal power plants – aluminosilicate empty microspheres. The analysis of existing technologies showed the prospects for the use of electric arc spraying, which will expand the scope of compositions. All-drawn wires of ER346 (Св-08) and 1066 (65Г) brands were used for coating, ash fillers of aluminosilicate composition were used as fillers. The effectiveness of ash microspheres for the formation of coatings is confirmed by the results of hardness measurements. Coatings filled with ash microspheres have increased Vickers hardness by 7… 22%. The use of ash slags in new technologies is a promising practical area, the implementation of which will help in the search for scarce minerals.