Numerical and Experimental Validation of Mixing Efficiency in Periodic Disturbance Mixers
| Autor: | Luz-María Sánchez, Vahé Nerguizian, Rubén R. López, Anas Alazzam, Ion Stiharu, Julia V. Burnier |
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| Jazyk: | angličtina |
| Rok vydání: | 2021 |
| Předmět: |
Similarity (geometry)
Computer science microfluidics Micromixer Image processing 02 engineering and technology mixing efficiency 01 natural sciences Article Software TJ1-1570 Mechanical engineering and machinery Electrical and Electronic Engineering Reliability (statistics) Mixing (physics) micromixers business.industry Mechanical Engineering 010401 analytical chemistry Process (computing) Ranging 021001 nanoscience & nanotechnology 0104 chemical sciences image processing Control and Systems Engineering 0210 nano-technology business Biological system numerical model |
| Zdroj: | Micromachines, Vol 12, Iss 1102, p 1102 (2021) Micromachines Volume 12 Issue 9 |
| Popis: | The shape and dimensions of a micromixer are key elements in the mixing process. Accurately 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 addition 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 programming 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. |
| Databáze: | OpenAIRE |
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