Full Article: PDF
Scientific Object Identifier: http://s-o-i.org/1.1/TAS-10-102-104
DOI: https://dx.doi.org/10.15863/TAS.2021.10.102.104
Language: English
Citation: Hamroev, U. R., & Yusupov, S. (2021). Classification of AI-brand fuels based on FEA TN. ISJ Theoretical & Applied Science, 10 (102), 925-932. Soi: http://s-o-i.org/1.1/TAS-10-102-104 Doi: https://dx.doi.org/10.15863/TAS.2021.10.102.104 |
Pages: 925-932
Published: 30.10.2021
Abstract: This article examines motor gasoline in terms of international standards, environmental requirements, physicochemical properties, the trend of producing high-octane gasoline products that meet high environmental class, the reduction of lead concentration in the chemical composition properties. The number of octanes for AI-branded fuels in motor and research methods, the current TIF TN (Commodity Nomenclature of Foreign Economic Activity) code numbers (research method), the number of lead content, sulfur content and the chemical composition of more than 21 of the requirements for gasoline properties as the main criteria 3 Based on these criteria, a total of 6 new code numbers of goods under TIF TN, ie 271012410 11, 271012410 21, 271012410 31, 271012450 01, 271012490 01, 271012590 01 were developed and recommended for use in customs practice.
Key words: motor gasoline, AI-branded fuels, motor and research methods, chemical composition of gasoline oxygen, sulfur, nitrogen, lead, TIF TN, brand code.
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