The influence of the content of the zeolite component in the composition of cobalt catalysts for the synthesis of hydrocarbons on their physico-chemical properties is investigated. The catalysts were obtained by impregnation of a zeolite-containing carrier with subsequent heat treatment. The obtained samples with a concentration of ZVM zeolite of 30-70% were characterized by the methods of BET, TPR, TPD H2. The results of the analysis show that an increase in the concentration of the zeolite component of the catalyst contributes to an increase in the specific surface area, dispersion and a decrease in the recovery temperature of the deposited cobalt.

Keywords: applied catalyst, cobalt, zeolite, dispersion, specific surface area, active component, synthetic fuel, degree of reduction

The article presents the results of a study of the physicochemical and catalytic properties of cobalt catalysts on a mixed zeolite-containing carrier. Samples of catalysts containing 10% cobalt and from 30 to 70% high-silica zeolite ZVM were prepared by impregnation with subsequent heat treatment. Methods of IR spectroscopy, scanning electron microscopy (SEM) in combination with energy dispersion analysis (EMF) were used to study the physicochemical properties of catalysts. The catalytic properties were studied in a reactor with a fixed layer at a temperature of 240 °C, a pressure of 20 MPa, a volumetric gas velocity (OSG) of 1000 h-1, H2 / CO = 2. As a result of IR spectroscopy, the presence of Si-O, Al–OH, Co–O, etc. functional groups was detected, SEM–EMF images confirmed the uniform distribution of cobalt on the surface of catalysts. The dependences of the catalytic characteristics depending on the content of zeolite were established, the maximum activity was recorded for a sample containing 70% of ZVM zeolite.

Keywords: catalysts, Fischer-Tropsch synthesis, cobalt, zeolite, carrier, IR spectroscopy

The effect of a zeolite support on the physicochemical properties of cobalt catalysts prepared by the precipitation method and calcined at 400°C was studied. The values of the specific surface of the catalysts, the degree of cobalt reduction, and the dispersion of the metal were determined, and the presence of functional groups on the surface of the catalysts was determined by BET, TPV, TPD-H2, and IR spectroscopy.

Keywords: catalyst, cobalt oxide, hydrocarbons, dispersion, active surface

The effect of a zeolite support on the physicochemical properties of cobalt catalysts was studied on a series of samples with zeolites ZSM-5, HY, and NaX. The catalysts were obtained by precipitation followed by mixing the precipitate with a zeolite support. Their properties were characterized by BET, TPR, TPD-H2, IR spectroscopy. The results of the analysis show that the type of zeolite support affects the specific surface area, reduction of deposited cobalt, and the structural properties of the active component of catalytic systems.

Keywords: precipitated catalyst, cobalt, zeolite, dispersion, specific surface area, active component, synthetic fuel, degree of reduction

The physicochemical properties of cobalt catalysts on a NaX zeolite support have been studied. The parameters of the specific surface area, reduction of deposited cobalt, and structural properties of the active component of catalytic systems have been determined. To establish these properties, the methods of BET, TPR, TPD-H2, IR spectroscopy were used. It is shown that the preparation procedure has a significant effect on the physicochemical characteristics of the samples.

Keywords: catalysts, cobalt, zeolite, dispersion, specific surface area of the active component

Rail transport plays a key role in the transport of passengers and goods. The high demand for effective means of flaw detection of high-speed rails, which is an important component of railway safety, is justified by the constantly growing number of vehicles and their speed [2]. Failure of elements of the railway infrastructure entails huge losses. In this regard, the analysis and forecasting of the state of elements of the railway infrastructure is an urgent task. This article analyzes modern methods for diagnosing the state of a rail track from a mobile bogie or a conventional locomotive. A method for diagnostics of a rail track is proposed, based on registration of vibrations near the rolling surface of rails and processing these signals using neural networks.

Keywords: rail flaw detection, wheel surface, algorithm, IMM, MEMS, control system, inertial sensor, rail defect, contactless measurement