Chord Length Distribution Based Modeling and Adaptive Model Predictive Control of Batch Crystallization Processes Using High Fidelity Full Population Balance Models-Reference-Cited by-同舟云学术

Chord Length Distribution Based Modeling and Adaptive Model Predictive Control of Batch Crystallization Processes Using High Fidelity Full Population Balance Models

Published:2018-02-12 Issue:9 Volume:57 Page:3320-3332
ISSN:0888-5885
Container-title:Industrial & Engineering Chemistry Research
language:en
Short-container-title:Ind. Eng. Chem. Res.

Author:

Szilágyi Botond¹²³^ORCID,Agachi Paul Şerban³⁴,Nagy Zoltán K.¹²^ORCID

Affiliation:

1. Department of Chemical Engineering, Loughborough University, Loughborough, Leichestershire Le11 3TU, United Kingdom

2. Davidson School of Chemical Engineering, Purdue University, West Lafayette, Indiana 47907-2100, United States

3. Department of Chemical Engineering, Babes-Bolyai University, Arany Janos Street 1, Cluj-Napoca 400028, Romania

4. Chemical, Materials and Metallurgical Engineering Department, Botswana International University of Science and Technology, Palapye, Botswana

Funder

FP7 Ideas: European Research Council

International Fine Particle Research Institute

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.7b03964

Reference44 articles.

1. Crystallization Technology Handbook

2. Industrial Crystallization

3. Recent advances in the monitoring, modelling and control of crystallization systems

4. The Impact of Direct Nucleation Control on Crystal Size Distribution in Pharmaceutical Crystallization Processes

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