Papers by Keyword: Hydrogenization

Abstract: In the course of study the optimal conditions of conduction of the process are found. Optimal temperature for preparation of motor oils from chark chemical tar is 400 °С. On the increase of temperature from 350 °С to 400 °С the yield of liquid products on Mo-containing catalyst increases from 47,1 mass. % to 65.2 mass. % compared to the yield of liquid products obtained without the catalyst. The yield of gasoil fraction constitutes 15 mass. %. Optimal quantity of catalyst for preparation of liquid products from the tar is 0,05 mass. %. According to the results of study the catalytic effect of synthesized from emulsion catalyst appears at low concentration of molybdenum (0,05 mass.%). But the double increase of concentration of molybdenum weakly affects the improvement of indicators of the process.

Abstract: The investigated nanometric magnetite powders were synthesized electrochemically, and examined by XRD and SEM techniques. Their reduction was conducted through the isothermal heating in hydrogen in the temperature range from 600 to 860 K. Kinetics of the hydrogen recovery process during oxidation of freshly formed Fe powders in a water vapor stream was also studied. It was assumed that the solid-gas reaction is diffusion controlled, and Jander’s model was applied to describe it. The experimental data suggest that the reoxidation process proceeds in two stages, at various activation energies. By changing the conditions of the electrochemical (EC) process we were able to produce the iron oxide powders with optimal particle size and activity, for pure hydrogen production through appropriate reduction/oxidation processes.

Abstract: The effects of hydrogen contents and processing parameters of hot deformation on a Ti-6Al-2Zr-1Mo-1V alloy were investigated. Hot compressive tests were conducted at different temperatures and strain rates with various hydrogen contents. Based on these experimental data, the simulation models for predicting flow stress and microstructure evolution have been built by back propagation (BP) neural network. The numerical results gained via the networks were compared with the experimental results.