Numerical and experimental validation of mixing efficiency in periodic disturbance mixers

Rubén R. López, Luz María Sánchez, Anas Alazzam, Julia V. Burnier, Ion Stiharu, Vahé Nerguizian

Research output: Contribution to journalArticlepeer-review

4 Scopus citations

Abstract

The shape and dimensions of a micromixer are key elements in the mixing process. Accu-rately quantifying the mixing efficiency enables the evaluation of the performance of a micromixer and the selection of the most suitable one for specific applications. In this paper, two methods are investigated to evaluate the mixing efficiency: a numerical model and an experimental model with a software image processing technique. Using two methods to calculate the mixing efficiency, in addi-tion to corroborating the results and increasing their reliability, creates various possible approaches that can be selected depending on the circumstances, resources, amount of data to be processed and processing time. Image processing is an easy-to-implement tool, is applicable to different program-ming languages, is flexible, and provides a quick response that allows the calculation of the mixing efficiency using a process of filtering of images and quantifying the intensity of the color, which is associated with the percentage of mixing. The results showed high similarity between the two methods, with a difference ranging between 0 and 6% in all the evaluated points.

Original languageBritish English
Article number1102
JournalMicromachines
Volume12
Issue number9
DOIs
StatePublished - Sep 2021

Keywords

  • Image processing
  • Microfluidics
  • Micromixers
  • Mixing efficiency
  • Numerical model

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