Experimental characterization and mixing modeling of a horizontally rotating disc reactor

Jäger, Luca; Scholl, Stephan

doi:10.1016/j.ces.2023.118995

Chemical Engineering Science

2023

DOI: 10.1016/j.ces.2023.118995

|View full text |Cite

Experimental characterization and mixing modeling of a horizontally rotating disc reactor

Luca Jäger

Stephan Scholl

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...

Citation Types

Supporting

Mentioning

Contrasting

Year Published

2024

Publication Types

Select...

Article1

Relationship

Self Cite0

Independent1

Authors

Journals

Cited by 1 publication

References 36 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

A Computer Vision Approach toward Verifying CFD Models of Stirred Tank Reactors

Fyfe,

Barrington,

Gordon

et al. 2024

Org. Process Res. Dev.

View full text Add to dashboard Cite

Mixing is one of the most important nonchemical considerations in the design of scalable processes. While noninvasive imaging approaches to deliver a quantifiable understanding of mixing dynamics are well-known, the use of imaging to verify computational fluid dynamics (CFD) models remains in its infancy. Herein, we use colorimetric reactions and our kinetic imaging software, Kineticolor, to explore (i) the correlation of imaging kinetics with pH probe measurements, (ii) feed point sensitivity for Villermaux−Dushman-type competing parallel reactions, and (iii) the use of experimental imaging kinetic data to qualitatively assess CFD models. We report further evidence that the influences of the stirring rate, baffle presence, and feed position on mixing in a tank reactor can be informatively captured with a camcorder and help experimentally verify CFD models. Overall, this work advances scarce little precedent in demonstrating the use of computer vision to verify CFD models of fluid flow in tank reactors.

show abstract

A Computer Vision Approach toward Verifying CFD Models of Stirred Tank Reactors

Fyfe,

Barrington,

Gordon

et al. 2024

Org. Process Res. Dev.

View full text Add to dashboard Cite

show abstract

scite is a Brooklyn-based organization that helps researchers better discover and understand research articles through Smart Citations–citations that display the context of the citation and describe whether the article provides supporting or contrasting evidence. scite is used by students and researchers from around the world and is funded in part by the National Science Foundation and the National Institute on Drug Abuse of the National Institutes of Health.

Contact Info

customersupport@researchsolutions.com

10624 S. Eastern Ave., Ste. A-614

Henderson, NV 89052, USA

This site is protected by reCAPTCHA and the Google Privacy Policy and Terms of Service apply.

Blog Terms and Conditions API Terms Privacy Policy Contact Cookie Preferences Do Not Sell or Share My Personal Information

Made with 💙 for researchers

Part of the Research Solutions Family.

Experimental characterization and mixing modeling of a horizontally rotating disc reactor

Cited by 1 publication

References 36 publications

A Computer Vision Approach toward Verifying CFD Models of Stirred Tank Reactors

A Computer Vision Approach toward Verifying CFD Models of Stirred Tank Reactors

Contact Info

Product

Resources

About