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Plasma electrolytic oxidation method (PEO) is used to create high hardness coating with the abrasion resistance and corrosion resistance on alloys of aluminum, magnesium, copper, titanium, etc. Creat a coating on the D16 alloy surface by the PEO method in the electrolytic solution of silicate- alkaline Na2O.(SiO2)n modul: 2,85 (12 g/L) and NaOH (2 g/L); add Co(OH)2 and V2O5 to silicate - alkaline solution with a ratio of 2 g/l, we obtain a coating with a hardness increased from 7.3 to 7.9 times, protection efficiency against corrosion in 5 % NaCl solution, it reaches 89.64 to 94.03 %. Through analysis of coating by SEM, EDS and X-Rays methods, it was found that in the coating composition are present of metal oxides, which come from D16 alloy and substances in the electrolyte solutions. The coating has a high hardness due to the formation of aluminum oxide in the form of α-Al2O3.

This paper presents the influence of oxidizer/fuel ratios on several energetic characteristics (combustion heat, gaseous volume, burning rate) of the red flame pyrotechnic containing potassium perchlorate, magnesium, strontium carbonate, polyvinyl chloride, and novolac resin. Based on the received experimental data and theoretical results, the reasonable potassium perchlorate/magnesium ratio of 25/22 is determined. The pyrotechnic mixture has the combustion heat of 841 cal/g, the gaseous volume of 250 ml/g, the burning rate of 8,1 mm/s at a pressed density of 1.56 g/cm3, the color purity of 91%, the decomposition temperature of 525oC, and small friction sensitivity. The pyrotechnic mixture can be used for red stars in signal mines.

In this study a series of the CuO-doped materials containing zeolite with varying CuO contents were synthesized from red mud (RM) and rice husk ash (RHA). The rice husk ash/red mud with the molar ratio of , and being 1.8, 2.5 and 60, respectively, were maintained during the synthetic process of materials. The characteristic structure samples were analyzed by x-ray diffraction (XRD), Fourier transformed infrared spectroscopy (FTIR), scanning electron microscopy (SEM), transmission electron microscope (TEM), Brunauer–Emmett–Teller (BET) surface area and H2 temperature program reduction (H2-TPR). The catalytic activity of samples was evaluated in CO oxidation reaction in a microflow reactor at temperature range 200 °C–350 °C. The obtained results showed that all synthetic samples there exist the A-type zeolites with the average crystal size of 15–20 nm, the specific surface area of , and pore volume of . The material synthesized from RM and RHA with the zeolite structure (ZRM, undoped CuO) could also oxidize CO completely at 350 °C, and its activity was increase significantly when doped with CuO. CuO-doped materials with the zeolite structure exhibited excellent catalytic activity in CO oxidation. The ZRM sample loading 5 wt% CuO with particle nanosize about 10–30 nm was the best one for CO oxidation with complete conversion temperature at 275 °C.

The neutron transport equation can be used to model the physics of the nuclear reactor core. Its solution depends on several variables and requires a lot of high precision computations. One can simplify this model to obtain the SPN equation for a generalized eigenvalue problem. In order to solve this eigenvalue problem, we usually use the inverse power iteration by solving a source problem at each iteration. Classically, this problem can be recast in a mixed variational form, and then discretized by using the Raviart-Thomas-Nédélec Finite Element. In this article, we focus on the steady-state diffusion equation with heterogeneous coefficients discretized on Cartesian meshes. In this situation, it is expected that the solution has low regularity. Therefore, it is necessary to refine at the singular regions to get better accuracy. The Adaptive Mesh Refinement (AMR) is one of the most effective ways to do that and to improve the computational time. The main ingredient for the refinement techniques is the use of a posteriori error estimates, which gives a rigorous upper bound of the error between the exact and numerical solution. This indicator allows to refine the mesh in the regions where the error is large. In this work, some mesh refinement strategies are proposed on the Cartesian mesh for the source problem. Moreover, we numerically investigate an algorithm which combines the AMR process with the inverse power iteration to handle the generalized eigenvalue problem.