Application of Mathematical Modeling for Optimization of Linear Alkylbenzenes Sulphonation Modes in Film Reactor

Dades bibliogràfiques
Parent link:Procedia Engineering
Vol. 152 : Oil and Gas Engineering (OGE-2016), Omsk, 25-30 April 2016 (Supported by PJSC Gazprom Neft).— 2016.— [P. 73-80]
Autor corporatiu: Национальный исследовательский Томский политехнический университет (ТПУ) Институт природных ресурсов (ИПР) Кафедра химической технологии топлива и химической кибернетики (ХТТ)
Altres autors: Ivanchina E. D. Emilia Dmitrievna, Ivashkina E. N. Elena Nikolaevna, Dolganova I. O. Irena Olegovna, Dolganov I. M. Igor Mikhailovich, Krutey A. A. Aleksandr Andreevich
Sumari:Title screen
The methodological aspects of development and application of mathematical modeling system for optimization of multistage petrochemical production on the example of linear alkylbenzene sulphuric acids obtaining complex processes at LLC “KINEF” were reviewed. It was shown that creation of mathematical modeling system includes a sequence of reaction network development stages, reactor kinetic modeling, model theoretical and experimental studies, studying regularities of reactor modes and proposing recommendations for raw material composition improving.
Idioma:anglès
Publicat: 2016
Matèries:
Accés en línia:http://earchive.tpu.ru/handle/11683/36158
http://dx.doi.org/10.1016/j.proeng.2016.07.631
Format: Electrònic Capítol de llibre
KOHA link:https://koha.lib.tpu.ru/cgi-bin/koha/opac-detail.pl?biblionumber=650288
Descripció
Sumari:Title screen
The methodological aspects of development and application of mathematical modeling system for optimization of multistage petrochemical production on the example of linear alkylbenzene sulphuric acids obtaining complex processes at LLC “KINEF” were reviewed. It was shown that creation of mathematical modeling system includes a sequence of reaction network development stages, reactor kinetic modeling, model theoretical and experimental studies, studying regularities of reactor modes and proposing recommendations for raw material composition improving.
DOI:10.1016/j.proeng.2016.07.631