The hidden secrets of the average number of radicals per particle (<mml:math xmlns:mml="http://www.w3.org/1998/Math/MathML" altimg="si1.svg"><mml:mover accent="true"><mml:mrow><mml:mi>n</mml:mi></mml:mrow><mml:mrow><mml:mo stretchy="false">¯</mml:mo></mml:mrow></mml:mover></mml:math>) and their implications in control of emulsion polymerization reactors-Reference-Cited by-同舟云学术

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The hidden secrets of the average number of radicals per particle (n¯) and their implications in control of emulsion polymerization reactors

Published:2024-05 Issue: Volume:487 Page:150681
ISSN:1385-8947
Container-title:Chemical Engineering Journal
language:en
Short-container-title:Chemical Engineering Journal

Author:

Farajzadehahary Kiarash,Hamzehlou Shaghayegh^ORCID,Ballard Nicholas^ORCID,Asua José M.

Funder

MICINN

Publisher

Elsevier BV

Reference38 articles.

1. Emulsion Polymerization: from fundamental mechanisms to process developments;Asua;J. Polym. Sci. Part A Polym. Chem.,2004

2. Online reaction calorimetry. applications to the monitoring of emulsion Polymerization without samples or models of the heat-transfer coefficient;BenAmor;Ind. Eng. Chem. Res.,2002

3. Control of an emulsion Polymerization reactor;Sheibat-Othman;Ind. Eng. Chem. Res.,2006

4. On-line control of emulsion polymerization reactors: a perspective;Asua;Can. J. Chem. Eng.,2023

5. Dynamic optimization of a two-stage emulsion polymerization to obtain desired particle morphologies;Faust;Chem. Eng. J.,2019

Cited by 1 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Reinforcement learning for the optimization and online control of emulsion polymerization reactors: Particle morphology;Computers & Chemical Engineering;2024-08

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