Modeling and Predictive Control of Cooling Crystallization of Potassium Sulfate by Dynamic Image Analysis: Exploring Phenomenological and Machine Learning Approaches-Reference-Cited by-同舟云学术

Modeling and Predictive Control of Cooling Crystallization of Potassium Sulfate by Dynamic Image Analysis: Exploring Phenomenological and Machine Learning Approaches

Published:2023-06-09 Issue:24 Volume:62 Page:9515-9532
ISSN:0888-5885
Container-title:Industrial & Engineering Chemistry Research
language:en
Short-container-title:Ind. Eng. Chem. Res.

Author:

de Moraes Marcellus Guedes Fernandes¹^ORCID,Lima Fernando Arrais Romero Dias²^ORCID,Lage Paulo Laranjeira da Cunha¹,de Souza Maurício B.¹²^ORCID,Barreto Amaro Gomes²^ORCID,Secchi Argimiro Resende¹²^ORCID

Affiliation:

1. Programa de Engenharia Química, PEQ/COPPE, Universidade Federal do Rio de Janeiro, P.O. Box 68502, 21941-972 Rio de Janeiro, RJ, Brazil

2. Escola de Química, EPQB, Universidade Federal do Rio de Janeiro, P.O. Box 68542, 21941-909 Rio de Janeiro, RJ, Brazil

Funder

Conselho Nacional de Desenvolvimento Cient?fico e Tecnol?gico

Funda??o Carlos Chagas Filho de Amparo ? Pesquisa do Estado do Rio de Janeiro

Coordena??o de Aperfei?oamento de Pessoal de N?vel Superior

Publisher

American Chemical Society (ACS)

Subject

Industrial and Manufacturing Engineering,General Chemical Engineering,General Chemistry

Link

https://pubs.acs.org/doi/pdf/10.1021/acs.iecr.3c00739

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5. Braatz, R. D.; Hasebe, S. In Particle Size and Shape Control in Crystallization Processes; Rawlings, J. B.; Ogunnaike, B. A.; Eaton, J. W., Eds. AIChE Symposium Series; AIChE Press, 2002; pp 307–327.

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