Methanol to Light Olefins: Catalyst, Reactions Kinetic and Process Study
Author:
Affiliation:
1. Chemical Engineering Department Urmia University,Iran
Publisher
Bentham Science Publishers Ltd.
Subject
Organic Chemistry,Computer Science Applications,Drug Discovery,General Medicine
Reference15 articles.
1. Askari S.; Halladj R.; Azarhoosh M.J.; Modeling and optimization of catalytic performance of SAPO-34 nanocatalysts synthesized sonochemically using a new hybrid of non-dominated sorting genetic algorithm-II based artificial neural networks (NSGA-II-ANNs). RSC Adv 2015,5,52788
2. Azarhoosh M.J.; Halladj R.; Askari S.; Application of evolutionary algorithms for modeling and optimisation of ultrasound-related parameters on synthesised SAPO-34 catalysts: crystallinity and particle size. Prog React Kinet Mech Catal 2019,128(2),1043-1063
3. Azarhoosh M.J.; Halladj R.; Askari S.; A dynamic kinetic model for methanol to light olefins reactions over a nanohierarchical SAPO-34 catalyst: catalyst synthesis, model presentation, and validation at the bench scale. Int J Chem Kinet 2018,50(3),149-163
4. Azarhoosh M.J.; Halladj R.; Askari S.; Presenting a new kinetic model for methanol to light olefins reactions over a hierarchical SAPO-34 catalyst using the Langmuir–Hinshelwood Hougen–Watson mechanism. J Phys Condens Matter 2017,29(42)
5. Azarhoosh M.J.; Halladj R.; Askari S.; Sonochemical synthesis of SAPO-34 catalyst with hierarchical structure using CNTs as mesopore template. Res Chem Intermed 2017,43(5),3265-3282
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