One of the most common energy carriers in the petrochemical industry is water vapor, which is mainly used as a heating medium in process plants. The effective functioning of steam supply, condensate collection and return systems is one of the criteria that affect the cost of production. Improper organization of the steam supply system leads to overuse of heating steam, uneven operation of the steam system and emergency situations. This paper analyzes possible problems in steam supply systems in the absence or incorrect operation of steam traps. The specific indicators of the object of study, circuit solutions and the economic efficiency of the use of steam traps are calculated.
Teaching the basics of computer graphics is included in the process of training bachelors of different directions. Knowledge of the theoretical foundations of computer graphics is important for future successful professional activity. There are methods of increasing the efficiency of their study through the implementation of practical tasks in this article. Students are interested in performing tasks related to 3D modeling. They are proposed to develop three-dimensional interactive models for use in the study of other disciplines. Students develop independence, creative thinking, ability to plan their activities, when they create such models.
An artificial neural multi-layer network has been developed for predicting the mass transfer coefficients in the liquid and gas phases for the gas absorption (CO2) from the air using an absorbent - water. For the development of neural network the unobservable parameters of the packed absorber were calculated. The obtained results can be used to model an extensive class of chemical engineering processes with the possibility of formalizing the calculation procedures.
An optimal artificial neural network has been developed for an application to determine the height and diameter of the packed absorber apparatus using neural networks. The obtained results can be used for modeling a wide class of objects of chemical technology with the possibility of formalization of calculation procedures.
scite is a Brooklyn-based organization that helps researchers better discover and understand research articles through Smart Citations–citations that display the context of the citation and describe whether the article provides supporting or contrasting evidence. scite is used by students and researchers from around the world and is funded in part by the National Science Foundation and the National Institute on Drug Abuse of the National Institutes of Health.