Computer Vision for Kinetic Analysis of Lab- and Process-scale Mixing Phenomena

08 July 2022, Version 1
This content is a preprint and has not undergone peer review at the time of posting.

Abstract

A software platform for the computer vision-enabled analysis of mixing phenomena of relevance to process scale-up is described. By bringing new and known time-resolved mixing metrics under one platform, hitherto unavailable comparisons of pixel-derived mixing metrics are exemplified across non-chemical and chemical processes. The analytical methods described are applicable using any camera and across an appreciable range of reactor scales, from development through to process scale-up. A case study in nucleophilic aromatic substitution run on 5L-scale shows how camera and offline concentration measurements can be correlated. In some cases, it can be shown that camera data holds the power to predict reaction progress.

Keywords

computer vision
mixing
kinetics
imaging

Supplementary materials

Title
Description
Actions
Title
Experimental Supporting Information
Description
Details of laboratory procedures.
Actions
Title
Computational Supporting Information
Description
Details of computer vision and statistical outputs.
Actions
Title
Collected Spreadsheet Outputs
Description
Spreadsheet (Excel) outputs from computer vision and statistical analyses.
Actions

Comments

Comments are not moderated before they are posted, but they can be removed by the site moderators if they are found to be in contravention of our Commenting Policy [opens in a new tab] - please read this policy before you post. Comments should be used for scholarly discussion of the content in question. You can find more information about how to use the commenting feature here [opens in a new tab] .
This site is protected by reCAPTCHA and the Google Privacy Policy [opens in a new tab] and Terms of Service [opens in a new tab] apply.