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October 14, 2026
At HSE University–St Petersburg, Experts Discuss How AI Changes Tourist Routes and Cultural Heritage
Neural networks are no longer simple travel assistants; now they decide what to include on the route and what to skip. Artificial intelligence changes how people perceive a place and shapes the image of tourist centres. At the II International Scientific and Practical Conference ’Information Technologies in the Preservation and Promotion of Cultural Heritage,’ researchers discussed who controls algorithmic solutions and in what ways, and whether authentic traditions get lost in them.
October 12, 2026
Road Injuries Leading Cause of Death Among Men Aged 10 to 39
Worldwide, road injuries are the leading cause of death among males aged 10–39. An international team of researchers reached this conclusion as part of the Global Burden of Disease Study 2023, analysing data from 204 countries between 1990 and 2023. Their findings have been published in The Lancet Public Health, with HSE University Professor Vasily Vlassov listed among the collaborators.
October 8, 2026
HSE Experts Take Part in 23rd Annual Meeting of Valdai Discussion Club
The 23rd Annual Meeting of the Valdai Discussion Club was held from September 28 to October 1, 2026 under the theme ‘Responsibility for the Future: Limits of the Possible, or Limitless Possibilities?’ The forum brought together 120 experts from 40 countries, including representatives of China, the United States, India, Brazil, the United Kingdom, Germany, Egypt, Iran, and Japan.

 

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Математическая модель зависимости динамической вязкости моторных масел от температуры, концентрации сажи и ее морфологии

Тонкие химические технологии. 2023. Т. 19. № 6. С. 485–496.
Лесин А. В., Исаев А. В., Тонконогов Б. П., Дунаев С. В., Kulikov A.

Objectives. A quick cold start of emergency and auxiliary power units based on diesel engines should be possible at any time without
problems and in the shortest possible time. The condition of the engine oil is one of the most important factors influencing the smooth
start-up of power plants. During diesel engine operation, engine oil accumulates soot in its composition, negatively affecting its
rheological properties. The aim of this research is to develop a mathematical model to describe changes in the dynamic viscosity
of motor oils as a function of temperature. This model will account for the concentration of soot and its morphology, based on the results
of experimental studies.
Methods. Standardly used motor oils for diesel engines M-14D2SE and M-5z/14D2SE were used as oil samples in the preparation of model
mixtures. The dispersed phase of the suspensions comprised carbon black of the N110, N220, N330, and N220 grades, characterized
by a dusty (nongranular) texture. The rheological properties of the samples were determined using a TA Instruments DHR-2 rotational
rheometer. The experimental data was subjected to mathematical statistical processing, in order to obtain approximating dependencies.
Results. The paper presents an analysis of the various approaches to the description of the rheology of suspensions and the results
of experimental studies of the viscosity-temperature characteristics (VTCs) of model samples of oils containing soot. The extant models
of the dependence of the dynamic viscosity of suspensions on temperature, volume concentration of the dispersed phase, particle size
and shape are demonstrated to be inadequate for the description of the VTCs of motor oils containing soot. A model of the rheological
properties of soot-oil suspensions is proposed in the form of a mathematical dependence of their dynamic viscosity on temperature, mass
concentration of soot, material density and size of soot particles, characteristics of the shape and structure of primary aggregates and the
ratio of the sizes of aggregates and molecules of the dispersion medium.
Conclusions. It was demonstrated that a comprehensive description of the VTCs of engine oils containing soot necessitates the
consideration of the structural characteristics of the primary aggregates of soot particles. A mathematical model of the VTCs of oils was
developed. This model is based on the dependence of the dynamic viscosity of oils on temperature, mass concentration of soot, density
of the particle material, degree of non-sphericity of aggregates, the ratio of the particle sizes of the dispersed phase (either aggregates
or single particles of non-aggregated soot) and oil molecules, and on the structure of soot, characterized by adsorption of dibutyl phthalate.

Research target: Chemistry Chemical Technologies Materials Technologies
Language: Russian
Full text
DOI
Text on another site
Keywords: математическая модель mathematical modelreologyреологиясажаsootengine oilмоторное масло
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