Steklo i Keramika (Glass and Ceramics). Monthly scientific, technical and industrial journal

 

ISSN 0131-9582 (Online)

VOL 96, No. 8 (2023)

Any article from the issue can be purchased in electronic form!

PDF format

Share:

    Not-set

  • NUCLEATION AND CRYSTALS GROWTH IN THE VOLUME OF GLASS Li2O–Al2O3–SiO2 SYSTEM

    • Pages: 3-11
    • Views: 111
    The crystallization properties of multicomponent glass based on the Li2O–Al2O3–SiO2 system are investigated.
    By the Marotta et al method, temperature of 670 ?C at a holding time of 2 hours provides the maximum rate of nucleation the crystalline phase of ?-eucryptite-like solid solutions was found. The activation energy of nucleation and the Avrami parameter were measured by the DSC method, allowing to estimate the crystallization characteristics. The gradient crystallization method has established the temperature range of heat treatment, within which it is possible to obtain a transparent glass-ceramic. The refinement of regime the nucleation stage made it possible to reduce the time of the second stage crystallization required for the complete formation of the transparent glass-ceramic structure. Varying the holding time at a temperature of 710 ?C makes it possible to smoothly change the CTE in the range of ?(3…+41)?10–7 K?1 in the temperature range from ?120 to +500 ?C.
  • INFLUENCE OF TECHNOLOGICAL PARAMETERS OF THE FLOAT PROCESS ON THE ADHESION OF TIN OXIDES TO SHEET GLASS

    • Pages: 12-17
    • Views: 96
    The influence of the operating mode of the float bath on the adhesion of tin oxides to the lower surface of the produced glass ribbon was studied. Statistical analysis of the experimental data and modeling made it possible to quantify the influence of the glass ribbon formation mode and the chemical composition of the glass on the amount of tin oxide sticking.
  • APPLICATION OF BISMUTHATE GLASSES AS A SUBSTRATE FOR GAS SENSORS

    • Pages: 18-25
    • Views: 114
    The synthesis of bismuth-borate glasses was carried out Composition (mass content, %): 70 Bi2O3, 2 GeO2, 25 B2O3, 3 MoO3; 70 Bi2O3, 17 GeO2, 10 B2O3, 3 MoO3 and bismuth glasses. Composition (mass content, %): 80 Bi2O3, 4 GeO2, 5 MoO3, 11 SiO2; 80 Bi2O3, 8 GeO2, 8,5 SiO2, 3,5 MoO3. Processes have been developed for forming a layer based on glass receptors using the method of ultrasonic spraying of interacting components and applying a water-insoluble polymer film obtained by a chemical reaction between a poly-N,N-dimethyl-3,4-dimethylenepyrrolidinium chloride polymer and a modifier potassium hexacyanoferrate (II). The sensors obtained on the basis of glasses make it possible to determine the content of hydrogen sulfide and water vapor in the air with an error of 2 – 4 %.
  • THERMODYNAMIC ANALYSIS OF OXIDE-CARBON AND CARBON MONOXIDE CHEMICAL REACTIONS IN ORDER TO SELECT ADDITIVES FOR CARBON NANOTUBE REINFORCED CORUNDUM CERAMICS

    • Pages: 26-32
    • Views: 117
    The calculation of Gibbs energy for reactions of interaction of ZrO2, Al2O3, SiO2, TiO2, CaO and MnO with carbon and carbon monoxide in temperature range 1273 – 2273 К (1000 – 2000 ?С) is made to select eutectic additive for structural ceramics in Al2O3–ZrO2–eutectic additive–carbon nanotube system. Considering the multi-component structure of the ceramic matrix composite in the system Al2O3–ZrO2–eutectic additive–carbon nanotube system, it is necessary to consider the process of possible carbidization, worsening the strength characteristics of the synthesized material. As a result of the analysis, it was found that eutectic additives containing Al2O3, SiO2, TiO2, CaO.
  • INCREASING THE HYDROPHILICITY OF THE SURFACE OF CASTING MODELS WHEN APPLYING A PRIMER LAYER OF CERAMICS WITH A DEVELOPED SURFACE

    • Pages: 33-38
    • Views: 104
    For the manufacture of metal parts of complex shape, the most promising method is casting according to smelted or burnt models. As a smelted material, a complex composition of wax with other organic compounds is used, characterized by high constancy of physico-chemical and mechanical properties, since the accuracy of multiple reproduction of critical parts, for example, the blades of a turbojet engine, depends on it. The wax model is necessary for growing a ceramic shell around it, the accuracy of which is crucial for obtaining a high-quality casting. Since the surface of the wax model is hydrophobic, and the ceramic suspension applied to the model is created on a water basis, a critical factor in the shell manufacturing technology is the ideal wettability of the model surface by the suspension applied to it. Improvement of wettability can be achieved not only by introducing special surfactants into the aqueous phase, but also by changing the properties of the wax surface itself, i.e. giving it the properties of hydrophilicity.
    The paper presents a method of physical modification of the wax model surface, which consists in applying a thin layer of ceramic powder on it, which is well wetted with aqueous ceramic suspensions.
  • EFFECT OF DYSPROSIUM DOPING ON MICROSTRUCTURE AND DEGREE OF TEXTURING OF BISMUTH TELLURIDE-BASED THERMOELECTRIC MATERIALS

    • Pages: 39-47
    • Views: 101
    The purpose of this work was to prepare and identify the features of the microstructure and the degree of texturing of the thermoelectric material Bi2Te2.7Se0.3 doped with dysprosium. Textured Bi2-xDyxTe2.7Se0.3 compounds with x = 0.0000; 0.0010; 0.0025; 0.0050; 0.0100 and 0.0200 were prepared by using solvothermal synthesis and spark plasma sintering of starting powders. Dy-doping results in several interconnected effects. First of them is reducing in size of particles in starting powders with increasing x. This effect is attributed to increasing in ionic bonding fraction in polar covalent Bi(Dy)–Te bonds with increasing Dy content due to difference in electronegativity of Bi and Dy. With increasing x, grain size in bulk samples is also reducing, which is governed by relevant changing in the size of particles in the starting powders with different dopant content. This effect also results in enhancing in texturing degree in samples.
  • ELECTROTECHNICAL PORCELAIN BASED ON RAW MATERIALS OF UZBEKISTAN

    • Pages: 48-55
    • Views: 113
    The paper presents the results of the research on the production of electrical porcelain on the basis of available traditional raw materials of Uzbekistan. It is shown that in conditions of a shortage of high-grade mineral raw materials for the production of electrical porcelain, it is advisable to add about half of the kaolin in the pre-fired state to the batch.
    At the same time, the products of firing at 1350 ?С of primary and secondary Angren kaolins allow us to consider them as a mullite-containing component, which further provides high physical, mechanical and dielectric properties of the porcelain material. The phase composition of the obtained porcelain is mainly represented by new crystalline components such as mullite and cristobalite, which gives the right to relate it to the mullite type of electro porcelain.
  • DETERMINATION OF THE CHEMICAL AND MINERALOGICAL COMPOSITION OF TRACHIBASALTIC PORPHIRITE FROM THE GAVASAY FOR OBTAINING MINERAL FIBER

    • Pages: 56-61
    • Views: 93
    The results of studies of the chemical and mineralogical compositions and the main characteristics for determining the suitability of trachybasaltic porphyrite from the Gavasay deposit of Uzbekistan for obtaining heat-insulating material, in particular mineral fiber, are presented. It has been established that this new deposit of igneous rock can be used as the main raw material component for the production of basalt fiber products, a widely demanded and modern material in the construction industry.
  • PREDICTIVE MODELING OF THE MECHANICAL PROPERTIES OF ALPHA ALUMINA USING ARTIFICIAL NEURAL NETWORKS AND MULTIPLE LINEAR REGRESSION

    • Pages: 62-64
    • Views: 96

    In the present study, we built predictive models of the mechanical properties (Young's modulus, fracture strength and toughness) of ?-Al2O3. Experiments carried out on samples produced by spark plasma sintering (SPS). The experimental results were the basis for the evaluation of mathematical models and predictions by both the radial basis function neural network (RBFNN) and multiple linear regression (MLR) models. The results of the comparison of MLR and RBFNN models showed good agreement between the experimental data and the RBFNN model predictions whereas the MLR model reveals modest agreement with the studied mechanical properties.