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Two-Step Numerical Approach To Predict Ferrofluid Droplet Generation and Manipulation inside Multilaminar Flow Chambers
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    Two-Step Numerical Approach To Predict Ferrofluid Droplet Generation and Manipulation inside Multilaminar Flow Chambers
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    • Jenifer Gómez-Pastora*
      Jenifer Gómez-Pastora
      Department of Chemical and Biomolecular Engineering, ETSIIT, University of Cantabria, Avda. Los Castros s/n, 39005 Santander, Spain
      *E-mail: [email protected]. Tel: +1 6142921284. Fax: +1 6142926404.
    • Venoos Amiri Roodan
      Venoos Amiri Roodan
      Department of Chemical and Biological Engineering, University at Buffalo (SUNY), Buffalo, New York 14260, United States
    • Ioannis H. Karampelas
      Ioannis H. Karampelas
      Department of Chemical and Biological Engineering, University at Buffalo (SUNY), Buffalo, New York 14260, United States
      Flow Science Inc., Santa Fe, New Mexico 87505, United States
    • Ali Q. Alorabi
      Ali Q. Alorabi
      Department of Chemistry and Biochemistry, University of Hull, Cottingham Road, Hull HU6 7RX, UK
    • Mark D. Tarn
      Mark D. Tarn
      Department of Chemistry and Biochemistry, University of Hull, Cottingham Road, Hull HU6 7RX, UK
      More by Mark D. Tarn
    • Alexander Iles
      Alexander Iles
      Department of Chemistry and Biochemistry, University of Hull, Cottingham Road, Hull HU6 7RX, UK
    • Eugenio Bringas
      Eugenio Bringas
      Department of Chemical and Biomolecular Engineering, ETSIIT, University of Cantabria, Avda. Los Castros s/n, 39005 Santander, Spain
    • Vesselin N. Paunov
      Vesselin N. Paunov
      Department of Chemistry and Biochemistry, University of Hull, Cottingham Road, Hull HU6 7RX, UK
    • Nicole Pamme
      Nicole Pamme
      Department of Chemistry and Biochemistry, University of Hull, Cottingham Road, Hull HU6 7RX, UK
      More by Nicole Pamme
    • Edward P. Furlani
      Edward P. Furlani
      Department of Chemical and Biological Engineering  and  Department of Electrical Engineering, University at Buffalo (SUNY), Buffalo, New York 14260, United States
    • Inmaculada Ortiz
      Inmaculada Ortiz
      Department of Chemical and Biomolecular Engineering, ETSIIT, University of Cantabria, Avda. Los Castros s/n, 39005 Santander, Spain
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    The Journal of Physical Chemistry C

    Cite this: J. Phys. Chem. C 2019, 123, 15, 10065–10080
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    https://doi.org/10.1021/acs.jpcc.9b01393
    Published April 1, 2019
    Copyright © 2019 American Chemical Society

    Abstract

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    In this study, a computational fluid dynamics approach is implemented to investigate the dynamic behavior of continuous-flow droplet microfluidics. The developed approach predicts both droplet generation and manipulation in a two-step process. First, droplet formation was studied in a flow-focusing junction through an Eulerian–Eulerian approach. Surface tension and wall adhesion were used in the model. The effect of flow rates and geometrical characteristics of the device on droplet size and dispensing rate was investigated. Second, post-generation, droplets were treated as point-like particles, and their deflection across a millimeter, multilaminar flow chamber with five parallel streams was modeled using an Eulerian–Lagrangian approach, thus improving computational efficiency. Flow rates and magnet location were optimized. Our simulated droplet trajectory inside the chamber was contrasted against experimental data, and a good agreement was found between them. This two-step computational model enables the rational optimization of continuous-flow droplet processing, and it can be readily adapted to a broad range of magnetically enabled microfluidic applications.

    Copyright © 2019 American Chemical Society

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    This article is cited by 12 publications.

    1. Cristina González-Fernández, Jenifer Gómez-Pastora, Eugenio Bringas, Maciej Zborowski, Jeffrey J. Chalmers, Inmaculada Ortiz. Recovery of Magnetic Catalysts: Advanced Design for Process Intensification. Industrial & Engineering Chemistry Research 2021, 60 (46) , 16780-16790. https://doi.org/10.1021/acs.iecr.1c03474
    2. Stefano Ciannella, Xian Wu, Cristina González-Fernández, Bahareh Rezaei, Jacob Strayer, Hyeon Choe, Kai Wu, Jeffrey Chalmers, Jenifer Gomez-Pastora. Kinetic and Parametric Analysis of the Separation of Ultra-Small, Aqueous Superparamagnetic Iron Oxide Nanoparticle Suspensions under Quadrupole Magnetic Fields. Micromachines 2023, 14 (11) , 2107. https://doi.org/10.3390/mi14112107
    3. Liangyu Wu, Jian Qian, Xuyun Liu, Suchen Wu, Cheng Yu, Xiangdong Liu. Numerical Modelling for the Droplets Formation in Microfluidics - A Review. Microgravity Science and Technology 2023, 35 (3) https://doi.org/10.1007/s12217-023-10053-0
    4. Mohamad Ali Bijarchi, Mohammad Yaghoobi, Amirhossein Favakeh, Mohammad Behshad Shafii. On-demand ferrofluid droplet formation with non-linear magnetic permeability in the presence of high non-uniform magnetic fields. Scientific Reports 2022, 12 (1) https://doi.org/10.1038/s41598-022-14624-w
    5. Christian Fernández-Maza, Marcos Fallanza, Lucía Gómez-Coma, Inmaculada Ortiz. Performance of continuous-flow micro-reactors with curved geometries. Experimental and numerical analysis. Chemical Engineering Journal 2022, 437 , 135192. https://doi.org/10.1016/j.cej.2022.135192
    6. Ioannis H. Karampelas, Jenifer Gómez-Pastora. Novel Approaches Concerning the Numerical Modeling of Particle and Cell Separation in Microchannels: A Review. Processes 2022, 10 (6) , 1226. https://doi.org/10.3390/pr10061226
    7. Marie Hébert, Jan Huissoon, Carolyn L Ren. A perspective of active microfluidic platforms as an enabling tool for applications in other fields. Journal of Micromechanics and Microengineering 2022, 32 (4) , 043001. https://doi.org/10.1088/1361-6439/ac545f
    8. Mohamad Ali Bijarchi, Mahdi Dizani, Mohammadmahdi Honarmand, Mohammad Behshad Shafii. Splitting dynamics of ferrofluid droplets inside a microfluidic T-junction using a pulse-width modulated magnetic field in micro-magnetofluidics. Soft Matter 2021, 17 (5) , 1317-1329. https://doi.org/10.1039/D0SM01764G
    9. Venoos Amiri Roodan, Jenifer Gómez-Pastora, Ioannis H. Karampelas, Cristina González-Fernández, Eugenio Bringas, Inmaculada Ortiz, Jeffrey J. Chalmers, Edward P. Furlani, Mark T. Swihart. Formation and manipulation of ferrofluid droplets with magnetic fields in a microdevice: a numerical parametric study. Soft Matter 2020, 16 (41) , 9506-9518. https://doi.org/10.1039/D0SM01426E
    10. Pooria Hadikhani, Sahand Majidi, Asghar Afshari. Numerical simulation of droplet formation in different microfluidic devices. Proceedings of the Institution of Mechanical Engineers, Part C: Journal of Mechanical Engineering Science 2020, 234 (19) , 3776-3788. https://doi.org/10.1177/0954406220916480
    11. Cristina González Fernández, Jenifer Gómez Pastora, Arantza Basauri, Marcos Fallanza, Eugenio Bringas, Jeffrey J. Chalmers, Inmaculada Ortiz. Continuous-Flow Separation of Magnetic Particles from Biofluids: How Does the Microdevice Geometry Determine the Separation Performance?. Sensors 2020, 20 (11) , 3030. https://doi.org/10.3390/s20113030
    12. Qingming Hu, Tianyi Jiang, Hongyuan Jiang. Numerical Simulation and Experimental Validation of Liquid Metal Droplet Formation in a Co-Flowing Capillary Microfluidic Device. Micromachines 2020, 11 (2) , 169. https://doi.org/10.3390/mi11020169

    The Journal of Physical Chemistry C

    Cite this: J. Phys. Chem. C 2019, 123, 15, 10065–10080
    Click to copy citationCitation copied!
    https://doi.org/10.1021/acs.jpcc.9b01393
    Published April 1, 2019
    Copyright © 2019 American Chemical Society

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