CFD analysis and RSM optimization of obstacle layout in Tesla micromixer
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Xiaowen Wang
und
Fujia Sun
Abstract
As a kind of fast and efficient mixing equipment, micromixer has been applied to chemical reaction detection. Its application can not only save experimental samples but also reduce the experimental time. In micromixers, Tesla structure is widely used due to its simple structure and special flow mechanism. In this paper, CFD and response surface method are used to analyze and verify the flow field of the configuration of adding diamond obstacles in the Tesla mixer. The results show that the order of layout parameter weight from large to small is obstacle size > vertical offset > horizontal offset. And the Desirability was 0.806, the optimal diamond obstacle size is 46.35 μm and the optimal lateral offset is 18.78 μm. In addition, a constant value OF 20 μm is predicted as the optimal vertical offset of the micromixer. Compared with the Tesla-type micromixer without obstacles, the diamond-shaped barrier Tesla-type micromixer designed in this paper has higher mixing rate and lower pressure drop under the same conditions, which can be applied to chemical reactors, and can also help to improve the accuracy of chemical reaction. It can be demonstrated that the presented optimal design method of obstacles layout in Tesla mixer is a simple and effective technology to improve the liquid mixing in microfluidic devices, and it has a broad application prospect in chemical engineering.
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Author contributions: All the authors have accepted responsibility for the entire content of this submitted manuscript and approved submission.
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Research funding: None declared.
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Conflict of interest statement: The authors declare no conflicts of interest regarding this article.
References
Becerra, M. A., R. E. Santelli, E. P. Oliveira, L. S. Villar, and L. A. Escaleira. 2008. “Response Surface Methodology (RSM) as a Tool for Optimization in Analytical Chemistry.” Talanta 76 (5).10.1016/j.talanta.2008.05.019Suche in Google Scholar PubMed
Brereton, R. G. 2019. “Introduction to Analysis of Variance.” Journal of Chemometrics 33 (1), https://doi.org/10.1002/cem.3018.Suche in Google Scholar
Chen, X., and Z. Zhao. 2017. “Numerical Investigation on Layout Optimization of Obstacles in a Three-Dimensional Passive Micromixer [J].” Analytica Chimica Acta 964: 142–149, https://doi.org/10.1016/j.aca.2017.01.066.Suche in Google Scholar PubMed
Derringer, G., and R. Suich. 1980. “Simultaneous Optimization of Several ResponseVariables.” JQT 12 (4): 214–19, https://doi.org/10.1080/00224065.1980.11980968.Suche in Google Scholar
dos Santos, A. A. C., M. Childs, T. D. Nguyen, and Y. Hassan. 2019. “Convergence Study and Uncertainty Quantification of Average and Statistical PIV Measurements in a Matched Refractive Index 5 × 5 Rod Bundle with Mixing Vane Spacer Grid.” Experimental Thermal and Fluid Science 102: 215–31, https://doi.org/10.1016/j.expthermflusci.2018.11.009.Suche in Google Scholar
Du, C. 2020. Numerical Simulation of Flow and Mixing Characteristics in Micromixer. China: Beijing University of Chemical Technology.Suche in Google Scholar
Hong, C.-C., J.-W. Choi, and C. H. Ahn. 2004. “A Novel In-Plane Passive Microfluidic Mixer with Modified Tesla Structures.” Lab on a Chip 4 (2), https://doi.org/10.1039/b305892a.Suche in Google Scholar PubMed
Kelley, C. T., J. Bernholc, E. L. Briggs, S. Hamilton, L. Lin, and C. Yang. 2020. “Mesh Independence of the Generalized Davidson Algorithm.” Journal of Computational Physics 409.10.1016/j.jcp.2020.109322Suche in Google Scholar
Li, T., and X. Chen. 2017. “Numerical Investigation of 3D Novel Chaotic Micromixers with Obstacles.” International Journal of Heat and Mass Transfer 115, https://doi.org/10.1016/j.ijheatmasstransfer.2017.07.067.Suche in Google Scholar
Oliveira, R. A. F., G. H. Justi, and G. C. Lopes. 2017. “Grid Convergence Study of a Cyclone Separator Using Different Mesh Structures.” Chemical Industry and Chemical Engineering Quarterly 23 (3): 311–20, https://doi.org/10.2298/ciceq160516044o.Suche in Google Scholar
Peng, G., X. Huang, and J. You. 2021. “Optimization Design of Pipeline Pump Based on Response Surface Method [J].” Hydropower and Energy Science 39 (2): 138–41.Suche in Google Scholar
Planter, L. 1981. An Introduction to Fluid Mechanics. Beijing: Science Press.Suche in Google Scholar
Shi, X., L. Wang, S. Huang, and F. Li. 2021a. “Numerical Analysis of Passive Micromixer with Novel Obstacle Design [J].” Journal of Dispersion Science and Technology 42 (3): 440–56, https://doi.org/10.1080/01932691.2019.1699428.Suche in Google Scholar
Shi, X., L. Wang, S. Huang, and F. Li. 2021b. “A Novel Passive Micromixer with Array of Koch Fractal Obstacles in Microchannel [J].” Journal of Dispersion Science and Technology 42 (2): 236–47 https://doi.org/10.1080/01932691.2019.1674156.Suche in Google Scholar
Wang, C.-T., Y.-M. Chen, P.-A. Hong, and Y.-T. Wang. 2014. “Tesla Valves in Micromixers.” International Journal of Chemical Reactor Engineering 1.10.1515/ijcre-2013-0106Suche in Google Scholar
Weng, X., S. Yan, Y. Zhang, J. Liu, and J. Shen. 2021. “Design, Simulation and Experiment of a Micromixer Based on Tesla Valve Structure.” Chemical Industry 1-8: 03–14.Suche in Google Scholar
Willis, A. J. 2017. “Response Surface Methodology: Process and Product Optimization Using Designed Experiments 4th Edition [J].” Journal of Quality Technology 49 (2): 186–8, https://doi.org/10.1080/00224065.2017.11917988.Suche in Google Scholar
Xu, J. 2020. Optimization Design and Simulation Experiment Research of Passive Micromixer. China: Liaoning University of Technology.Suche in Google Scholar
Yan, L., Z. Zhang, Z. Chen, H. Yang, X. Cheng, and Y. Lian. 2021. “Response Surface Methodology Optimization of Lipstatin Production Culture Medium by Streptomyces toxitrifolia FIM-17-16 [J].” Biotechnology 31 (1): 82–8.Suche in Google Scholar
Yang, A.-S., F.-C. Chuang, C.-K. Chen, M.-H. Lee, S.-W. Chen, T.-L. Su, and Y.-C. Yang. 2015. “A High-Performance Micromixer Using Three-Dimensional Tesla Structures for Bio-Applications.” 263. Elsevier.10.1016/j.cej.2014.11.034Suche in Google Scholar
Yao, C. 2020. Optimization design and Numerical Simulation of Microfluidic Reactor. China: Liaoning University of Technology.Suche in Google Scholar
Zhang, D., K. Zhang, X. Hu, Q. He, J. Yan, and Y. Xue. 2021. “Cadmium Removal by MgCl2 Modified Biochar Derived from Crayfish Shell Waste: Batch Adsorption, Response Surface Analysis and Fixed Bed Filtration.” Journal of Hazardous Materials 408, https://doi.org/10.1016/j.jhazmat.2020.124860.Suche in Google Scholar PubMed
Zhou, Z., L. Dian-Qing, T. Xiao, Z. -J. Cao, and W. Du. 2021. “Response Surface Guided Adaptive Slope Reliability Analysis in Spatially Varying Soils.” Computers and Geotechnics 132.10.1016/j.compgeo.2020.103966Suche in Google Scholar
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Artikel in diesem Heft
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- CFD analysis and RSM optimization of obstacle layout in Tesla micromixer
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Artikel in diesem Heft
- Frontmatter
- Review
- Nanoreactors: properties, applications and characterization
- Articles
- Numerical simulation of the particle-wall collision strength and swirling effect on the performance of the axial flow cyclone separator
- Development and experimental validation of reactor kinetic model for catalytic cracking of eugenol, a potential bio additive fuel blend
- Effect of flue gas components on the NO removal and element mercury oxidation performance of Mn-modified low-temperature catalyst
- CFD analysis and RSM optimization of obstacle layout in Tesla micromixer
- Non-invasive morphological characterization of cellular loofa sponges using digital microscopy and micro-CT
- Residence time distribution studies on recycle reactor with recirculation
- The influence of membrane electrode assembly’s pressing on PEM fuel cell’s performance
- Oxidative hydrolysis of Fe(Ⅱ) in the process of hydrothermal synthesis of hematite
- Parametric numerical study and optimization of mass transfer and bubble size distribution in a gas-liquid stirred tank bioreactor equipped with Rushton turbine using computational fluid dynamics
