Large-Scale Industrial Fermenter Foaming Control: Automated Machine Learning for Antifoam Prediction and Defoaming Process Implementation-Reference-Cited by-同舟云学术

Large-Scale Industrial Fermenter Foaming Control: Automated Machine Learning for Antifoam Prediction and Defoaming Process Implementation

Published:2022-04-07 Issue:15 Volume:61 Page:5227-5238
ISSN:0888-5885
Container-title:Industrial & Engineering Chemistry Research
language:en
Short-container-title:Ind. Eng. Chem. Res.

Author:

Agarwal Aman¹,Liu Y. A.¹^ORCID,Dooley Luke²,McDowell Christopher²,Thaysen Mads³

Affiliation:

1. AspenTech Center of Excellence in Process System Engineering, Department of Chemical Engineering, Virginia Polytechnic Institute and State University, Blacksburg, Virginia 24061, United States

2. Novozymes Biologicals, Inc., 5400 Corporate Circle, Salem, Virginia 24153, United States

3. Novozymes A/S, Krogshøjvej 36, 2880 Bagsvaerd, Denmark

Funder

Novozymes Biologicals, Inc.

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.1c05006

Reference29 articles.

1. Foaming: Consequences, prevention and destruction

2. Richtering, W. In Smart Colloidal Materials; Springer: Berlin, 2006; p 102.

3. Aqueous foams and foam films stabilised by surfactants. Gravity-free studies

4. Foam and Its Mitigation in Fermentation Systems

5. Introduction on Foam and its Impact in Bioreactors

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