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Numerical and Experimental Validation of Mixing Efficiency in Periodic Disturbance Mixers
Micromachines ( IF 3.0 ) Pub Date : 2021-09-14 , DOI: 10.3390/mi12091102
Rubén R López 1, 2 , Luz-María Sánchez 3 , Anas Alazzam 1, 4 , Julia V Burnier 2 , Ion Stiharu 5 , Vahé Nerguizian 1
Affiliation  

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.

中文翻译:

周期性扰动混合器混合效率的数值和实验验证

微混合器的形状和尺寸是混合过程中的关键要素。准确量化混合效率可以评估微混合器的性能并选择最适合特定应用的混合器。在本文中,研究了两种评估混合效率的方法:数值模型和具有软件图像处理技术的实验模型。使用两种方法计算混合效率,除了验证结果和提高其可靠性外,还创建了各种可能的方法,可以根据环境、资源、要处理的数据量和处理时间进行选择。图像处理是一种易于实现的工具,适用于不同的编程语言,灵活、并提供快速响应,允许使用图像过滤和量化颜色强度的过程来计算混合效率,颜色强度与混合百分比相关。结果表明,两种方法之间的相似度很高,所有评估点的差异都在 0% 到 6% 之间。
更新日期:2021-09-14
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